CyberMax-tools commited on
Commit
fee882a
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1 Parent(s): 69ad23d

AI Product Market refresh (2026-10-29 04:42 UTC)

Browse files
market/catalog.json CHANGED
@@ -3,7 +3,7 @@
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  "name": "CyberMax AI Product Market",
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  "publisher": "CyberMax",
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  "description": "Every live CyberMax capability for AI agents, apps and developers, with input/output JSON Schemas, endpoints, pricing, examples and integration code.",
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  "search": "https://datasets-server.huggingface.co/search?dataset=CyberMax-tools%2Forbitwren-orbital-compute-tracker&config=projects&split=train&query=<text>",
38314
  "filter": "https://datasets-server.huggingface.co/filter?dataset=CyberMax-tools%2Forbitwren-orbital-compute-tracker&config=projects&split=train&where=<condition>&orderby=<column>",
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  "openapi": "https://cybermax-tools-cybermax.static.hf.space/market/openapi/datasets.json",
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  "usageNotes": [
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- "Configs/splits: projects/train, changes/train, launches_upcoming/train, orbits/train.",
38393
  "From an MCP client: cybermax-datasets-mcp query_dataset {\"dataset\": \"orbitwren-orbital-compute-tracker\", \"where\": ..., \"query\": ...}.",
38394
  "Search/filter indexes are built by Hugging Face on first use; the first call on a large dataset may say the index is loading."
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  "status": "live",
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  "brand": "CyberMax game asset samplers",
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  "title": "CyberMax game asset samplers",
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- "summary": "Original game assets generated by CyberMax's own code (no third-party art, no AI image models): pixel tiles, animated monsters, item icons, VFX, a 9-slice UI, Godot 4 shaders, low-poly glTF models, seamless retro textures, pixel fonts, top-down village tiles, a low-poly 3D dungeon kit, a vector…",
38411
- "description": "Original game assets generated by CyberMax's own code (no third-party art, no AI image models): pixel tiles, animated monsters, item icons, VFX, a 9-slice UI, Godot 4 shaders, low-poly glTF models, seamless retro textures, pixel fonts, top-down village tiles, a low-poly 3D dungeon kit, a vector sci-fi HUD kit and cozy UI sound effects. The pixel packs share one 32-colour palette, so they mix in one game. Last updated: 25 Oct 2026 (Delvewick Dungeon Kit, Glowkeel Sci-Fi HUD Kit and Plinkfern Cozy UI SFX added).",
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  "capabilities": [
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  "game-assets",
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  "pixel-art",
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  "name": "CyberMax AI Product Market",
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38239
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38331
  "search": "https://datasets-server.huggingface.co/search?dataset=CyberMax-tools%2Forbitwren-orbital-compute-tracker&config=projects&split=train&query=<text>",
38332
  "filter": "https://datasets-server.huggingface.co/filter?dataset=CyberMax-tools%2Forbitwren-orbital-compute-tracker&config=projects&split=train&where=<condition>&orderby=<column>",
38333
  "openapi": "https://cybermax-tools-cybermax.static.hf.space/market/openapi/datasets.json",
38334
+ "splits": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
38335
  },
38336
  "mcp": {
38337
  "hosted": null,
 
38390
  }
38391
  },
38392
  "usageNotes": [
38393
+ "Configs/splits: see GET https://datasets-server.huggingface.co/splits?dataset=CyberMax-tools/orbitwren-orbital-compute-tracker.",
38394
  "From an MCP client: cybermax-datasets-mcp query_dataset {\"dataset\": \"orbitwren-orbital-compute-tracker\", \"where\": ..., \"query\": ...}.",
38395
  "Search/filter indexes are built by Hugging Face on first use; the first call on a large dataset may say the index is loading."
38396
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38397
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38408
  "status": "live",
38409
  "brand": "CyberMax game asset samplers",
38410
  "title": "CyberMax game asset samplers",
38411
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38412
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38413
  "capabilities": [
38414
  "game-assets",
38415
  "pixel-art",
 
38544
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38671
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market/live-snapshot.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "fetchedAt": "2026-10-26T08:31:24.662Z",
3
  "store": [
4
  {
5
  "name": "bulk-image-downloader",
@@ -32,13 +32,13 @@
32
  "createdAt": "2026-09-24T11:43:02.801Z"
33
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34
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- "users30d": 13,
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- "SUCCEEDED": 314,
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@@ -72,10 +72,10 @@
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  "users30d": 6,
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- "FAILED": 9,
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78
- "TOTAL": 249
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125
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126
  {
127
- "name": "website-contacts",
128
- "title": "Contact Details & Email Scraper by Domain — Hollerdex",
129
- "description": "Get any company's best email, phone and social profiles from its domain. Contact details scraper and email scraper: labelled emails (sales, support, press), E.164 phones, LinkedIn, X, Instagram, contact page and form. Monitor mode flags changes. $0.004 per domain with contacts; misses free.",
130
- "url": "https://apify.com/cybermax/website-contacts",
131
  "categories": [
132
- "LEAD_GENERATION",
133
- "SOCIAL_MEDIA",
134
- "AUTOMATION"
135
  ],
136
  "pricing": {
137
  "pricingModel": "PAY_PER_EVENT",
138
- "startedAt": "2026-09-23T17:00:00.000Z",
139
  "apifyMarginPercentage": 0.2,
140
  "pricingPerEvent": {
141
  "actorChargeEvents": {
142
- "domain-contacts-found": {
143
- "eventTitle": "Domain with contacts found",
144
- "eventDescription": "One domain's contact card with at least one email, phone or social profile. Domains with nothing public, blocked sites and unreachable domains are not charged.",
145
- "eventPriceUsd": 0.004
146
  }
147
  }
148
  },
149
- "createdAt": "2026-09-23T17:22:00.894Z"
150
  },
151
  "agenticPayments": true,
152
  "users30d": 2,
@@ -161,38 +161,38 @@
161
  "reviews": 0
162
  },
163
  {
164
- "name": "domain-authority",
165
- "title": "Linkheft — Bulk Domain Authority Checker & Website Rank API",
166
- "description": "Know how big any website is, in bulk. Domain authority checker and Moz DA alternative from open data: 0–100 authority score, rank among 133M domains, tier, 4-month trend and referring subnets, for SEO audits and link prospects. No API key. $0.002 per ranked domain.",
167
- "url": "https://apify.com/cybermax/domain-authority",
168
  "categories": [
169
- "SEO_TOOLS",
170
- "AI",
171
- "LEAD_GENERATION"
172
  ],
173
  "pricing": {
174
  "pricingModel": "PAY_PER_EVENT",
175
- "startedAt": "2026-09-24T00:00:00.000Z",
176
  "apifyMarginPercentage": 0.2,
177
  "pricingPerEvent": {
178
  "actorChargeEvents": {
179
- "domain-ranked": {
180
- "eventTitle": "Domain ranked",
181
- "eventDescription": "One domain found in the open web graph or Majestic Million, returned with its 0–100 authority score, rank, tier, trend and referring subnets. Unranked, invalid and duplicate inputs are not charged.",
182
- "eventPriceUsd": 0.002
183
  }
184
  }
185
  },
186
- "createdAt": "2026-09-23T19:49:06.312Z"
187
  },
188
  "agenticPayments": true,
189
  "users30d": 2,
190
  "runs30d": {
191
  "ABORTED": 0,
192
  "FAILED": 0,
193
- "SUCCEEDED": 32,
194
  "TIMED-OUT": 0,
195
- "TOTAL": 32
196
  },
197
  "rating": null,
198
  "reviews": 0
@@ -227,9 +227,9 @@
227
  "runs30d": {
228
  "ABORTED": 0,
229
  "FAILED": 0,
230
- "SUCCEEDED": 29,
231
  "TIMED-OUT": 0,
232
- "TOTAL": 29
233
  },
234
  "rating": null,
235
  "reviews": 0
@@ -270,9 +270,47 @@
270
  "runs30d": {
271
  "ABORTED": 0,
272
  "FAILED": 0,
273
- "SUCCEEDED": 1,
274
  "TIMED-OUT": 0,
275
- "TOTAL": 1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
276
  },
277
  "rating": null,
278
  "reviews": 0
@@ -308,46 +346,128 @@
308
  "runs30d": {
309
  "ABORTED": 0,
310
  "FAILED": 0,
311
- "SUCCEEDED": 1,
312
  "TIMED-OUT": 0,
313
- "TOTAL": 1
314
  },
315
  "rating": null,
316
  "reviews": 0
317
  },
318
  {
319
- "name": "company-enrichment",
320
- "title": "Company Enrichment API: Domain to Company Data — Firmfold",
321
- "description": "Get a full company profile from a domain, work email or company name: logo, tech stack, email security, domain age, contacts, socials, hiring and firmographics (founded, employees, HQ). B2B company data enrichment API, Clearbit alternative. $0.01 per company; misses free.",
322
- "url": "https://apify.com/cybermax/company-enrichment",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
323
  "categories": [
 
324
  "LEAD_GENERATION",
325
- "BUSINESS",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
326
  "AI"
327
  ],
328
  "pricing": {
329
  "pricingModel": "PAY_PER_EVENT",
330
- "startedAt": "2026-09-24T14:00:00.000Z",
331
  "apifyMarginPercentage": 0.2,
332
  "pricingPerEvent": {
333
  "actorChargeEvents": {
334
- "company-enriched": {
335
- "eventTitle": "Company enriched",
336
- "eventDescription": "One company resolved to a live domain with at least one module filled: logo/brand colour, tech stack + email security + domain age, contacts + socials, hiring activity and/or Wikidata firmographics, in one flat record. Unknown names, dead domains, personal email providers and unchanged companies in monitor mode are not charged.",
337
- "eventPriceUsd": 0.01
338
  }
339
  }
340
  },
341
- "createdAt": "2026-09-24T12:36:56.507Z"
 
342
  },
343
  "agenticPayments": true,
344
  "users30d": 1,
345
  "runs30d": {
346
  "ABORTED": 0,
347
  "FAILED": 0,
348
- "SUCCEEDED": 27,
349
  "TIMED-OUT": 0,
350
- "TOTAL": 27
351
  },
352
  "rating": null,
353
  "reviews": 0
@@ -387,168 +507,205 @@
387
  "runs30d": {
388
  "ABORTED": 0,
389
  "FAILED": 0,
390
- "SUCCEEDED": 26,
391
  "TIMED-OUT": 0,
392
- "TOTAL": 26
393
  },
394
  "rating": null,
395
  "reviews": 0
396
  },
397
  {
398
- "name": "keyword-ideas",
399
- "title": "Keyfern — Long-Tail Keyword Ideas & Google Autocomplete Scraper",
400
- "description": "Hundreds of real long-tail keywords from one seed. Keyword research and Google autocomplete scraper: keyword suggestions from Google, YouTube, Bing, Amazon and DuckDuckGo, with search intent, clusters, signal score, Google Trends verdicts and new-keyword alerts. $0.001 per keyword idea.",
401
- "url": "https://apify.com/cybermax/keyword-ideas",
402
  "categories": [
403
- "SEO_TOOLS",
404
- "MARKETING",
405
  "AI"
406
  ],
407
  "pricing": {
408
  "pricingModel": "PAY_PER_EVENT",
409
- "startedAt": "2026-09-24T00:00:00.000Z",
410
  "apifyMarginPercentage": 0.2,
411
  "pricingPerEvent": {
412
  "actorChargeEvents": {
413
- "keyword-idea": {
414
- "eventTitle": "Keyword idea",
415
- "eventDescription": "One unique keyword idea returned (deduped across engines and expansions), with intent, cluster, engines and signal score. Capped per seed by 'Max ideas per seed'.",
416
- "eventPriceUsd": 0.001
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
417
  },
418
- "trend-checked": {
419
- "eventTitle": "Trend verdict",
420
- "eventDescription": "One keyword given a Google Trends rising/falling/spiking/stable verdict and % change. Keywords with no measurable volume and failed checks are not charged.",
421
- "eventPriceUsd": 0.003
422
  }
423
  }
424
  },
425
- "createdAt": "2026-09-23T18:21:23.984Z"
 
426
  },
427
  "agenticPayments": true,
428
  "users30d": 1,
429
  "runs30d": {
430
  "ABORTED": 0,
431
  "FAILED": 0,
432
- "SUCCEEDED": 24,
433
  "TIMED-OUT": 0,
434
- "TOTAL": 24
435
  },
436
  "rating": null,
437
  "reviews": 0
438
  },
439
  {
440
- "name": "logo-finder",
441
- "title": "Logo Finder: Company Logo API & Favicon by Domain — Logolark",
442
- "description": "Logo finder and company logo API: give domains, URLs or work emails, get each company's own logo and square icon, verified by download (SVG/PNG/ICO, real size, transparency), its brand colour and a hosted copy. Clearbit Logo API alternative. $2 per 1,000 logos found; misses free.",
443
- "url": "https://apify.com/cybermax/logo-finder",
444
  "categories": [
445
  "LEAD_GENERATION",
446
  "DEVELOPER_TOOLS",
447
- "AI"
448
  ],
449
  "pricing": {
450
  "pricingModel": "PAY_PER_EVENT",
451
- "startedAt": "2026-09-23T23:00:00.000Z",
452
  "apifyMarginPercentage": 0.2,
453
  "pricingPerEvent": {
454
  "actorChargeEvents": {
455
- "logo-resolved": {
456
- "eventTitle": "Logo resolved",
457
- "eventDescription": "One domain for which a logo and/or square icon was found on the company's own site and verified by download: URLs, real size, format, transparency, brand colour and a hosted copy. Domains with nothing found, bot-walled sites and invalid inputs are not charged.",
458
- "eventPriceUsd": 0.002
459
  }
460
  }
461
  },
462
- "createdAt": "2026-09-23T22:31:24.521Z"
463
  },
464
  "agenticPayments": true,
465
  "users30d": 1,
466
  "runs30d": {
467
  "ABORTED": 0,
468
  "FAILED": 0,
469
- "SUCCEEDED": 1,
470
  "TIMED-OUT": 0,
471
- "TOTAL": 1
472
  },
473
  "rating": null,
474
  "reviews": 0
475
  },
476
  {
477
- "name": "hiring-signals",
478
- "title": "Hiring Signals & Company Job Postings by Domain — HireHeat",
479
- "description": "See which companies are hiring right now. Company hiring signals and job postings by domain: open roles, new roles in the last 7/30 days, by function, seniority and location, from Greenhouse, Lever, Ashby, Workable, SmartRecruiters. Hiring-spike alerts. $0.01 per company found; misses free.",
480
- "url": "https://apify.com/cybermax/hiring-signals",
481
  "categories": [
482
- "JOBS",
483
  "LEAD_GENERATION",
484
- "AUTOMATION"
 
485
  ],
486
  "pricing": {
487
  "pricingModel": "PAY_PER_EVENT",
488
- "startedAt": "2026-09-23T15:00:00.000Z",
489
  "apifyMarginPercentage": 0.2,
490
  "pricingPerEvent": {
491
  "actorChargeEvents": {
492
- "company-checked": {
493
- "eventTitle": "Company hiring summary",
494
- "eventDescription": "One company whose job board was found: open roles, new roles in the last 7/30 days, functions, seniority, locations. Companies with no board found are free.",
495
- "eventPriceUsd": 0.01
496
- },
497
- "job-returned": {
498
- "eventTitle": "Job returned",
499
- "eventDescription": "One open job returned in the dataset (only when 'Also return every job' is on).",
500
- "eventPriceUsd": 0.001
501
  }
502
  }
503
  },
504
- "createdAt": "2026-09-23T14:16:12.567Z",
505
- "notifiedAboutChangeAt": "2026-09-23T15:06:00.233Z"
506
  },
507
  "agenticPayments": true,
508
  "users30d": 1,
509
  "runs30d": {
510
  "ABORTED": 0,
511
  "FAILED": 0,
512
- "SUCCEEDED": 26,
513
  "TIMED-OUT": 0,
514
- "TOTAL": 26
515
  },
516
  "rating": null,
517
  "reviews": 0
518
  },
519
  {
520
- "name": "domain-intel",
521
- "title": "Tech Stack Detector & Technology Lookup + WHOIS — DomainDNA",
522
- "description": "Know what any website runs on in seconds. Tech stack detector (a Wappalyzer and BuiltWith alternative) plus WHOIS/RDAP domain age, DNS, MX provider, SPF/DMARC, TLS expiry and security headers in one JSON record. Monitor mode flags changes. $0.004 per domain.",
523
- "url": "https://apify.com/cybermax/domain-intel",
524
  "categories": [
525
- "LEAD_GENERATION",
526
- "DEVELOPER_TOOLS",
527
- "SEO_TOOLS"
528
  ],
529
  "pricing": {
530
  "pricingModel": "PAY_PER_EVENT",
531
- "startedAt": "2026-09-23T14:00:00.000Z",
532
  "apifyMarginPercentage": 0.2,
533
  "pricingPerEvent": {
534
  "actorChargeEvents": {
535
- "domain-analyzed": {
536
- "eventTitle": "Domain analyzed",
537
- "eventDescription": "One domain analysed and returned: tech stack, email security, TLS, registration, headers and well-known files. Domains that don't resolve are not charged.",
538
- "eventPriceUsd": 0.004
 
 
 
 
 
539
  }
540
  }
541
  },
542
- "createdAt": "2026-09-23T13:53:02.555Z"
543
  },
544
  "agenticPayments": true,
545
  "users30d": 1,
546
  "runs30d": {
547
  "ABORTED": 0,
548
  "FAILED": 0,
549
- "SUCCEEDED": 26,
550
  "TIMED-OUT": 0,
551
- "TOTAL": 26
552
  },
553
  "rating": null,
554
  "reviews": 0
@@ -591,9 +748,9 @@
591
  "runs30d": {
592
  "ABORTED": 0,
593
  "FAILED": 0,
594
- "SUCCEEDED": 25,
595
  "TIMED-OUT": 0,
596
- "TOTAL": 25
597
  },
598
  "rating": null,
599
  "reviews": 0
@@ -628,47 +785,9 @@
628
  "runs30d": {
629
  "ABORTED": 0,
630
  "FAILED": 0,
631
- "SUCCEEDED": 28,
632
- "TIMED-OUT": 0,
633
- "TOTAL": 28
634
- },
635
- "rating": null,
636
- "reviews": 0
637
- },
638
- {
639
- "name": "website-screenshot",
640
- "title": "Capturewren — Website Screenshot API: See & Read Any Web Page",
641
- "description": "See and read any web page in one call. Website screenshot API and generator: full-page, element or mobile PNG/JPEG screenshot plus HTTP status, title, meta and clean page text. Cookie banners removed; monitor mode for page change alerts. $0.003 per screenshot, failures free.",
642
- "url": "https://apify.com/cybermax/website-screenshot",
643
- "categories": [
644
- "DEVELOPER_TOOLS",
645
- "AUTOMATION",
646
- "AI"
647
- ],
648
- "pricing": {
649
- "pricingModel": "PAY_PER_EVENT",
650
- "startedAt": "2026-09-23T15:30:00.000Z",
651
- "apifyMarginPercentage": 0.2,
652
- "pricingPerEvent": {
653
- "actorChargeEvents": {
654
- "screenshot": {
655
- "eventTitle": "Screenshot captured",
656
- "eventDescription": "One page captured: image saved with a public URL, plus status, final URL, title, description and page text. Failed pages (unreachable, timeout, selector not found) are not charged.",
657
- "eventPriceUsd": 0.003
658
- }
659
- }
660
- },
661
- "createdAt": "2026-09-23T14:52:53.664Z",
662
- "notifiedAboutChangeAt": "2026-09-23T15:36:03.677Z"
663
- },
664
- "agenticPayments": true,
665
- "users30d": 1,
666
- "runs30d": {
667
- "ABORTED": 0,
668
- "FAILED": 0,
669
- "SUCCEEDED": 36,
670
  "TIMED-OUT": 0,
671
- "TOTAL": 36
672
  },
673
  "rating": null,
674
  "reviews": 0
@@ -710,149 +829,48 @@
710
  "runs30d": {
711
  "ABORTED": 0,
712
  "FAILED": 0,
713
- "SUCCEEDED": 28,
714
  "TIMED-OUT": 0,
715
- "TOTAL": 28
716
- },
717
- "rating": null,
718
- "reviews": 0
719
- },
720
- {
721
- "name": "wayback-machine",
722
- "title": "Wayback Machine Scraper: Website History & Snapshots — Eldwren",
723
- "description": "Wayback Machine scraper and website history checker: get a site's first and last archive capture, archive age, years online, every snapshot (status, type, digest, link) or every archived URL of a domain. Official Internet Archive CDX API. $3 per 1,000 histories; snapshots $0.80 per 1,000.",
724
- "url": "https://apify.com/cybermax/wayback-machine",
725
- "categories": [
726
- "SEO_TOOLS",
727
- "LEAD_GENERATION",
728
- "DEVELOPER_TOOLS"
729
- ],
730
- "pricing": {
731
- "pricingModel": "PAY_PER_EVENT",
732
- "startedAt": "2026-10-25T16:00:00.000Z",
733
- "apifyMarginPercentage": 0.2,
734
- "pricingPerEvent": {
735
- "actorChargeEvents": {
736
- "url-summarized": {
737
- "eventTitle": "Website history summarized",
738
- "eventDescription": "Summary mode: one domain or URL with Wayback Machine captures, summarized (first and last capture, archive age, months and years archived, gap years, status codes, versions, snapshot links). URLs that were never archived, archive errors and unchanged URLs in monitor mode are not charged.",
739
- "eventPriceUsd": 0.003
740
- },
741
- "capture-listed": {
742
- "eventTitle": "Snapshot or archived URL listed",
743
- "eventDescription": "Snapshots or archived-URLs mode: one row (timestamp, URL, HTTP status, MIME type, size, digest, snapshot and raw-file links). No start fee.",
744
- "eventPriceUsd": 0.0008
745
- }
746
- }
747
- },
748
- "createdAt": "2026-10-25T12:51:16.797Z",
749
- "notifiedAboutChangeAt": "2026-10-25T16:00:24.357Z"
750
- },
751
- "agenticPayments": true,
752
- "users30d": 1,
753
- "runs30d": null,
754
- "rating": null,
755
- "reviews": 0
756
- },
757
- {
758
- "name": "meta-tags-extractor",
759
- "title": "Meta Tags & Open Graph Extractor + Schema Checker — Unfurlwren",
760
- "description": "Meta tag extractor and Open Graph checker: get each page's title, meta description, canonical, robots, hreflang, OG and Twitter Card tags (og:image verified), schema.org JSON-LD types, favicon and feeds, plus SEO and link-preview issues and a 0-100 score. $2 per 1,000 pages; failed pages free.",
761
- "url": "https://apify.com/cybermax/meta-tags-extractor",
762
- "categories": [
763
- "SEO_TOOLS",
764
- "DEVELOPER_TOOLS",
765
- "AI"
766
- ],
767
- "pricing": {
768
- "pricingModel": "PAY_PER_EVENT",
769
- "startedAt": "2026-10-25T16:00:00.000Z",
770
- "apifyMarginPercentage": 0.2,
771
- "pricingPerEvent": {
772
- "actorChargeEvents": {
773
- "page-extracted": {
774
- "eventTitle": "Page extracted",
775
- "eventDescription": "One HTML page read: title, meta description, canonical, robots, hreflang, Open Graph and Twitter Card tags (og:image verified), schema.org JSON-LD and microdata types, icons, feeds, SEO issues and a score. Pages that fail to load, error pages (4xx/5xx), non-HTML URLs and unchanged pages in monitor mode are not charged. No start fee.",
776
- "eventPriceUsd": 0.002
777
- }
778
- }
779
- },
780
- "createdAt": "2026-10-25T12:51:15.423Z",
781
- "notifiedAboutChangeAt": "2026-10-25T16:00:24.347Z"
782
  },
783
- "agenticPayments": true,
784
- "users30d": 1,
785
- "runs30d": null,
786
  "rating": null,
787
  "reviews": 0
788
  },
789
  {
790
- "name": "sitemap-url-extractor",
791
- "title": "Sitemap URL Extractor: Get All Website URLs — Sitemoss",
792
- "description": "Sitemap URL extractor: get all URLs of a website from its XML sitemaps. Finds sitemaps via robots.txt, follows sitemap indexes and .gz files, returns lastmod, changefreq, priority, hreflang and image counts. Monitor mode returns only new and updated pages. $0.40 per 1,000 URLs, no start fee.",
793
- "url": "https://apify.com/cybermax/sitemap-url-extractor",
794
  "categories": [
795
- "SEO_TOOLS",
796
  "DEVELOPER_TOOLS",
 
797
  "AI"
798
  ],
799
  "pricing": {
800
  "pricingModel": "PAY_PER_EVENT",
801
- "startedAt": "2026-10-25T16:00:00.000Z",
802
  "apifyMarginPercentage": 0.2,
803
  "pricingPerEvent": {
804
  "actorChargeEvents": {
805
- "url-extracted": {
806
- "eventTitle": "URL extracted",
807
- "eventDescription": "One page URL delivered from the site's sitemaps, with its lastmod, changefreq, priority, hreflang alternates and image count. Duplicates, filtered-out URLs, unchanged URLs in monitor mode and sites with no sitemap are not charged. No start fee.",
808
- "eventPriceUsd": 0.0004
809
  }
810
  }
811
  },
812
- "createdAt": "2026-10-25T12:51:12.477Z",
813
- "notifiedAboutChangeAt": "2026-10-25T16:00:24.287Z"
814
  },
815
  "agenticPayments": true,
816
  "users30d": 1,
817
  "runs30d": {
818
  "ABORTED": 0,
819
  "FAILED": 0,
820
- "SUCCEEDED": 1,
821
  "TIMED-OUT": 0,
822
- "TOTAL": 1
823
- },
824
- "rating": null,
825
- "reviews": 0
826
- },
827
- {
828
- "name": "hacker-news",
829
- "title": "Hacker News Scraper: Front Page, Search & Mentions — Frontpeek",
830
- "description": "Hacker News scraper on the official HN API: front page (top), new, best, Ask HN, Show HN and jobs with rank, points, comments and age; keyword search; alerts when your domain or a competitor's is posted. Monitor mode returns only new stories. $0.30 per 1,000 stories, no start fee.",
831
- "url": "https://apify.com/cybermax/hacker-news",
832
- "categories": [
833
- "NEWS",
834
- "SEO_TOOLS",
835
- "AI"
836
- ],
837
- "pricing": {
838
- "pricingModel": "PAY_PER_EVENT",
839
- "startedAt": "2026-10-25T16:00:00.000Z",
840
- "apifyMarginPercentage": 0.2,
841
- "pricingPerEvent": {
842
- "actorChargeEvents": {
843
- "story": {
844
- "eventTitle": "Story delivered",
845
- "eventDescription": "One Hacker News story, Ask/Show HN post or job: title, link, domain, points, comments, age, rank (for lists) and the HN discussion link. Filtered-out stories, duplicates and stories already returned in earlier monitor runs are not charged. No start fee.",
846
- "eventPriceUsd": 0.0003
847
- }
848
- }
849
- },
850
- "createdAt": "2026-10-25T12:51:18.257Z",
851
- "notifiedAboutChangeAt": "2026-10-25T16:00:24.387Z"
852
  },
853
- "agenticPayments": true,
854
- "users30d": 1,
855
- "runs30d": null,
856
  "rating": null,
857
  "reviews": 0
858
  }
@@ -1184,7 +1202,7 @@
1184
  }
1185
  ],
1186
  "likes": 0,
1187
- "downloads": 15710,
1188
  "prettyName": "Linkheft Open Domain Ranks (10.3M domains)",
1189
  "description": "ds = load_dataset(\"CyberMax-tools/open-domain-ranks\", split=\"train\", streaming=True) for row in ds.take(5): print(row) Need it fresh, filtered or via API? Linkheft domain authority API (1,000 free domain lookups a day, $5 for 25,000 (no expiry, no subscription), or $19/month for 100,000). <!-- cybermax-use:end -->",
1190
  "license": "other (cc-by-3.0-and-common-crawl-terms)",
@@ -1211,7 +1229,7 @@
1211
  }
1212
  ],
1213
  "likes": 0,
1214
- "downloads": 310,
1215
  "prettyName": "DomainDNA: SaaS Email Security & Tech Stack Snapshot",
1216
  "description": "How do well-known SaaS companies protect their email domains and what do their websites run on? One row per domain per snapshot, from public DNS, TLS, RDAP and HTTP facts only: Email security: mail provider (Google Workspace, Microsoft 365, Proofpoint...), SPF presence and all qualifier, SPF includes, DMARC policy (none / quarantine / reject), subdomain policy, pct, reporting enabled; Infrastructure: nameservers, TLS issuer, protocol and days until certificate expiry, registrar, domain age and expiry; Website: detected technologies and categories (CMS, framework, CDN, analytics, marketing automation...), SaaS domain-verification TXT records (which tools a company has verified), security-headers score (0-6), robots.txt / sitemap.xml / llms.txt / security.txt presence.",
1217
  "license": "cc-by-4.0",
@@ -1241,7 +1259,7 @@
1241
  }
1242
  ],
1243
  "likes": 0,
1244
- "downloads": 335,
1245
  "prettyName": "HireHeat: Tech Company Hiring Snapshot",
1246
  "description": "Who is hiring in tech right now, and for what? One row per company per snapshot with open-job counts from each company's own public job board (Greenhouse, Lever, Ashby, SmartRecruiters, Workable, Recruitee), broken down by function, seniority, top departments and top locations, plus how many roles were posted in the last 7 and 30 days.",
1247
  "license": "cc-by-4.0",
@@ -1271,7 +1289,7 @@
1271
  }
1272
  ],
1273
  "likes": 0,
1274
- "downloads": 270,
1275
  "prettyName": "Gripeline: App Store & Google Play Complaint Stats",
1276
  "description": "What are users of popular apps complaining about right now? One row per app per store per snapshot, computed from the newest reviews (up to 300 per app and store, US App Store and English Google Play): star mix (1 to 5), average rating of the sample, share of negative (1-2 stars) and positive (4-5 stars) reviews, developer reply rate; top complaint phrases and top praise phrases with the number of reviews that mention each; worst versions: app versions with the lowest average rating in the sample; the store's overall rating and rating count, for contrast with recent sentiment.",
1277
  "license": "cc-by-4.0",
@@ -1300,7 +1318,7 @@
1300
  }
1301
  ],
1302
  "likes": 0,
1303
- "downloads": 791,
1304
  "prettyName": "Insidewell: SEC Form 4 Insider Transactions (latest EDGAR filings)",
1305
  "description": "Every insider stock transaction (non-derivative table) reported to the SEC on Form 4 and 4/A over the latest 5 EDGAR business days (filed 2026-09-17 to 2026-09-23; a few late filings report older trades): officers, directors and 10% owners buying, selling, receiving grants, exercising options, gifting shares and more, across all SEC-reporting issuers. Cleaned into one flat table with ticker, insider role, dollar value and a cluster-buy flag (2 or more insiders of the same company buying on the open market within 7 days).",
1306
  "license": "cc0-1.0",
@@ -1339,7 +1357,7 @@
1339
  }
1340
  ],
1341
  "likes": 1,
1342
- "downloads": 819,
1343
  "prettyName": "Kevscope: CVE + CISA KEV + EPSS, joined daily",
1344
  "description": "Which vulnerabilities should you patch first? Kevscope puts the three public signals side by side, already joined on the CVE ID: CISA KEV: the US government's catalog of vulnerabilities known to be exploited in the wild, with due dates and ransomware use; EPSS (FIRST): the probability that a CVE will be exploited in the next 30 days, for every published CVE; NVD: CVSS severity (v4.0 → v3.1 → v3.0 → v2, best available), CWE weaknesses, affected vendor:product pairs and the description.",
1345
  "license": "other (open-mixed-cc0-public-domain-epss-attribution)",
@@ -1377,7 +1395,7 @@
1377
  }
1378
  ],
1379
  "likes": 0,
1380
- "downloads": 604,
1381
  "prettyName": "Eventwren: SEC 8-K Material Events by Item (latest EDGAR filings)",
1382
  "description": "Every current report (Form 8-K and 8-K/A) filed with the SEC over the latest 20 EDGAR business days, split into one row per reported Item: new material agreements (1.01), earnings releases (2.02), acquisitions closed (2.01), impairments (2.06), delisting notices (3.01), auditor changes (4.01), restatements (4.02), CEO/CFO/director departures and appointments (5.02), cybersecurity incidents (1.05), bankruptcies (1.03) and the rest. Each row has the ticker, CIK, SIC industry code, SEC acceptance timestamp and a link to the filing.",
1383
  "license": "cc0-1.0",
@@ -1410,7 +1428,7 @@
1410
  }
1411
  ],
1412
  "likes": 0,
1413
- "downloads": 725,
1414
  "prettyName": "Ziplore US ZIP Codes with Census Demographics (41,682 ZIPs)",
1415
  "description": "ds = load_dataset(\"CyberMax-tools/us-zip-codes-demographics\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() Need it fresh, filtered or via API? Ziplore ZIP code API (200 free calls a day, $5 for 12,000 (no expiry), or $19/month for 60,000). <!-- cybermax-use:end -->",
1416
  "license": "cc-by-4.0",
@@ -1446,7 +1464,7 @@
1446
  }
1447
  ],
1448
  "likes": 0,
1449
- "downloads": 496,
1450
  "prettyName": "Curvewire: US Treasury yield curve + BLS macro panel (official sources)",
1451
  "description": "The US numbers macro models, trading bots and LLM agents ask for most, taken straight from the agencies that publish them (US Treasury and the Bureau of Labor Statistics), not scraped from redistributors, and cleaned into three tidy tables: treasury_yields (default), treasury_real_yields, bls_monthly.",
1452
  "license": "cc0-1.0",
@@ -1480,7 +1498,7 @@
1480
  }
1481
  ],
1482
  "likes": 0,
1483
- "downloads": 317,
1484
  "prettyName": "Trialtide: every ClinicalTrials.gov study in one table",
1485
  "description": "All 604,146 studies registered on ClinicalTrials.gov, flattened to one row per study: status, phase, design, enrollment, key dates, conditions (with MeSH terms), interventions, lead sponsor and sponsor type, collaborators, countries, number of sites, eligibility basics, primary outcomes and whether results are posted.",
1486
  "license": "other (us-public-domain-clinicaltrials-gov)",
@@ -1550,7 +1568,7 @@
1550
  }
1551
  ],
1552
  "likes": 0,
1553
- "downloads": 659,
1554
  "prettyName": "Fipsbook: US Census Geographies with FIPS Codes, Centroids & Land Area (2025)",
1555
  "description": "Free lookup tables for joining, mapping and geocoding US data: 210,319 rows across 11 layers (states, 3,222 counties, 32,350 places, 36,427 county subdivisions, 33,791 ZIP code areas (ZCTAs), 85,396 Census tracts, 935 metro/micro areas, 440 congressional districts of the 119th Congress, 6,843 state legislative districts and 10,863 school districts), each with its GEOID/FIPS code, name, land and water area (m² and sq mi) and an internal-point latitude/longitude.",
1556
  "license": "cc0-1.0",
@@ -1592,7 +1610,7 @@
1592
  }
1593
  ],
1594
  "likes": 0,
1595
- "downloads": 325,
1596
  "prettyName": "Toolroll: Official MCP Registry Snapshot (every MCP server, weekly)",
1597
  "description": "A snapshot of the official Model Context Protocol (MCP) Registry (registry.modelcontextprotocol.io) as a single Parquet table: 35,403 MCP servers (35,028 active, 375 deprecated) from 20,000+ publishers, snapshot 2026-09-24 07:03 UTC. One row per server (its latest version) with its description, how you connect to it (remote URL and transport, or npm / PyPI / Docker (OCI) / MCPB / NuGet / Cargo package), whether it needs a secret (API key header or secret env var), repository, website and publish dates.",
1598
  "license": "other (mcp-registry-public-metadata)",
@@ -1630,7 +1648,7 @@
1630
  }
1631
  ],
1632
  "likes": 1,
1633
- "downloads": 2693,
1634
  "prettyName": "Figurewell: SEC XBRL Financial Statements & Key Metrics (every US filer, latest 4 quarters)",
1635
  "description": "The numbers from every financial statement filed with the SEC in the latest four quarters: 10-K, 10-Q, 20-F and 40-F reports from 7,000+ US-listed and SEC-registered companies, as tidy parquet you can query in one line. Revenue, net income, EPS, total assets, cash, debt, operating cash flow, capex and dividends per filing, plus every other reported face-statement value.",
1636
  "license": "cc0-1.0",
@@ -1664,7 +1682,7 @@
1664
  }
1665
  ],
1666
  "likes": 0,
1667
- "downloads": 338,
1668
  "prettyName": "Pingroll: MCP Server Uptime (daily handshake probes of every remote server in the official MCP Registry)",
1669
  "description": "Registries and directories tell you an MCP server exists. This dataset tells you whether it works: every public remote server in the official MCP Registry gets a real MCP handshake once a day (initialize → notifications/initialized → tools/list; no tool is ever called), and each result is recorded: up or down, how fast, which protocol version, how many tools and whether their schemas are valid. One file per day, so uptime history builds up.",
1670
  "license": "cc0-1.0",
@@ -1699,7 +1717,7 @@
1699
  }
1700
  ],
1701
  "likes": 0,
1702
- "downloads": 1648,
1703
  "prettyName": "Riskroll: SEC 10-K & 10-Q Risk Factors, MD&A and Market Risk Text (clean, by section)",
1704
  "description": "The parts of annual and quarterly reports that analysts, researchers and LLM pipelines actually read, cut out of each filing and cleaned: Risk Factors (Item 1A), Management's Discussion and Analysis (MD&A), Quantitative and Qualitative Disclosures About Market Risk, Cybersecurity (Item 1C) and Business (Item 1), one row per filing × section, for every 10-K and 10-Q filed with the SEC. New filings are added as they come in, so the corpus grows month by month.",
1705
  "license": "cc0-1.0",
@@ -1744,7 +1762,7 @@
1744
  }
1745
  ],
1746
  "likes": 0,
1747
- "downloads": 480,
1748
  "prettyName": "Policywren: US AI Policy Tracker (Federal Register, daily)",
1749
  "description": "Every document in the US Federal Register since 2017-01-01 whose text mentions artificial intelligence: executive orders and other presidential documents, final rules, proposed rules, notices, requests for information and their comment periods, with dates, agencies, dockets and links. Rebuilt daily from the official Federal Register API. Neutral and factual; not legal advice.",
1750
  "license": "cc0-1.0",
@@ -1779,7 +1797,7 @@
1779
  }
1780
  ],
1781
  "likes": 0,
1782
- "downloads": 572,
1783
  "prettyName": "Swellmeter: Google Trending Searches (daily snapshot, 30 countries)",
1784
  "description": "A daily snapshot of Google Trends' \"Trending now\" list for 30 countries: each trending search, its approximate traffic bucket, when it started trending, and the news articles Google attached to it. One Parquet file per day (data/trending-YYYY-MM-DD.parquet), so a history of what the world searched for builds up over time. Google's own feed only shows what is trending now; this dataset keeps it.",
1785
  "license": "other (google-trends-public-feed)",
@@ -1797,7 +1815,7 @@
1797
  "configs": [
1798
  "default"
1799
  ],
1800
- "lastModified": "2026-10-26T04:43:50.000Z"
1801
  },
1802
  {
1803
  "id": "CyberMax-tools/hireheat-career-site-jobs-weekly",
@@ -1808,7 +1826,7 @@
1808
  }
1809
  ],
1810
  "likes": 0,
1811
- "downloads": 391,
1812
  "prettyName": "HireHeat Jobs: career-site job postings, first posted in the last 7 days (weekly snapshots)",
1813
  "description": "Each snapshot holds every job first posted in the last 7 days on the company career sites in the HireHeat Jobs directory, read straight from each employer's applicant tracking system (Greenhouse, Ashby, Workable, SmartRecruiters). One row per job with title, company, location, remote flag, department, employment type, salary where the employer publishes it, posting date and the apply link, plus a derived job function and seniority. No description text and no people: job postings only. A new file is added every week, so the history of who hires what builds up.",
1814
  "license": "other (public-job-postings)",
@@ -1840,7 +1858,7 @@
1840
  }
1841
  ],
1842
  "likes": 0,
1843
- "downloads": 313,
1844
  "prettyName": "Gripeline: SmartThings App Review Mood Around the Sept 2026 Fridge Firmware Incident",
1845
  "description": "On 22 Sep 2026 a refrigerator firmware update pushed through Samsung's SmartThings platform left some smart fridges in Korea without power (Ars Technica, 23 Sep 2026; Samsung told Ars the issue was limited to Korea and came from an error during internal testing). Did it show up in the app stores? This dataset has one row per day, store and country for the SmartThings app, 8–23 Sep 2026: review count, average rating, share of 1–2 star reviews, and how many reviews mention the fridge, an update/firmware, or going offline/losing connection (keywords matched in Korean and English).",
1846
  "license": "cc-by-4.0",
@@ -1870,7 +1888,7 @@
1870
  }
1871
  ],
1872
  "likes": 0,
1873
- "downloads": 313,
1874
  "prettyName": "Keyfern: What People Search About Superintelligence (Sept 2026)",
1875
  "description": "\"Superintelligence\" moved from books and sci-fi into the news in the week of 22 Sep 2026: an AI remark in a UN General Assembly speech (22 Sep) and a proposed US bill to ban artificial superintelligence (reported by AP on 23 Sep; see the Policywren AI policy tracker for the verified events). This dataset records what people were typing into search boxes about it that week: 1,106 unique autocomplete suggestions for four seeds (superintelligence, super intelligence, artificial superintelligence, ai ban), collected on 24 Sep 2026 from Google, YouTube and Bing autocomplete (588 lookups: seed, seed + a–z, 12 question words, 10 prepositions).",
1876
  "license": "cc-by-4.0",
@@ -1907,7 +1925,7 @@
1907
  }
1908
  ],
1909
  "likes": 0,
1910
- "downloads": 292,
1911
  "prettyName": "Policywren: Superintelligence Ban Bill, News Coverage & Search Interest (Sept 2026)",
1912
  "description": "In September 2026 \"superintelligence\" became a US policy topic: a US senator and a House member announced a bill to ban the development of artificial superintelligence and pause advanced AI development until a federal regulator sets safety rules (Senate press release, 3 Sep; widely reported on 23 Sep), and a White House release quoted a 22 Sep UN speech saying AI is \"hereinafter officially called 'Super Intelligence'\". This dataset shows how much attention that got, day by day, from public sources, with the primary sources re-checked on the day it was built.",
1913
  "license": "cc-by-4.0",
@@ -1941,7 +1959,7 @@
1941
  }
1942
  ],
1943
  "likes": 0,
1944
- "downloads": 464,
1945
  "prettyName": "Haulroll: new US motor carrier registrations (FMCSA), daily",
1946
  "description": "Every motor carrier, broker and freight forwarder that received a new USDOT number in the last 90 days, from the FMCSA Company Census File, one row per company, company-level fields only.",
1947
  "license": "other (us-government-work)",
@@ -1978,7 +1996,7 @@
1978
  }
1979
  ],
1980
  "likes": 0,
1981
- "downloads": 407,
1982
  "prettyName": "Awardtide: US federal contracts ending in the next 12 months + open SAM.gov bids",
1983
  "description": "Which federal contracts will be re-bid soon, who holds them now, and what is open for bids today? Two tables from official public data, rebuilt together: ending_contracts: prime federal contracts (definitive contracts, purchase orders, delivery and BPA call orders; award types A–D) with at least $1M obligated and any action in the current fiscal year, whose current period of performance ends in the next 12 months. Incumbent, UEI, agency, office, NAICS, PSC, obligated and potential value, start/current-end/potential-end dates, days to end, set-aside, extent competed, offers received, base description and a USAspending link; open_opportunities: active SAM.gov notices (solicitations, combined synopsis/solicitations, presolicitations, sources sought, special notices) with a response deadline today or later: title, solicitation number, department, office, type, set-aside, NAICS, PSC, place of",
1984
  "license": "other (us-government-work)",
@@ -2014,7 +2032,7 @@
2014
  }
2015
  ],
2016
  "likes": 0,
2017
- "downloads": 1022,
2018
  "prettyName": "Recallroll: US vehicle safety recalls, last 12 months (NHTSA)",
2019
  "description": "Every US safety recall campaign NHTSA received in the last 365 days (2025-09-25 to 2026-09-18): 958 campaigns with 43,450,237 vehicles and items potentially affected (manufacturer estimates), 50 of them in the last 30 days. 25 carry a Do Not Drive advisory and 24 a Park Outside (fire risk) advisory. Rebuilt from NHTSA's daily recall file; built 2026-09-25 01:29 UTC.",
2020
  "license": "other (us-government-work)",
@@ -2061,7 +2079,7 @@
2061
  }
2062
  ],
2063
  "likes": 0,
2064
- "downloads": 655,
2065
  "prettyName": "Coffermap: federal contract and grant spending by state and county (FY2025)",
2066
  "description": "Federal obligations by place of performance for fiscal year 2025 (2024-10-01 to 2025-09-30): $744.0B in contracts and $1.23T in grants across 56 states and territories and 3,229 counties. Top state for contract dollars: Virginia; top county: Fairfax County, VA. Built 2026-09-25 01:49 UTC from the public USAspending.gov API.",
2067
  "license": "other (us-government-work)",
@@ -2088,26 +2106,9 @@
2088
  },
2089
  {
2090
  "id": "CyberMax-tools/orbitwren-orbital-compute-tracker",
2091
- "splits": [
2092
- {
2093
- "config": "projects",
2094
- "split": "train"
2095
- },
2096
- {
2097
- "config": "changes",
2098
- "split": "train"
2099
- },
2100
- {
2101
- "config": "launches_upcoming",
2102
- "split": "train"
2103
- },
2104
- {
2105
- "config": "orbits",
2106
- "split": "train"
2107
- }
2108
- ],
2109
  "likes": 0,
2110
- "downloads": 854,
2111
  "prettyName": "Orbitwren: Orbital Compute & Space Data Center Tracker",
2112
  "description": "Every public orbital-compute and space data center project in one table: who is building it, what hardware is (or will be) in orbit, launch date, status, publicly stated funding, and a source link for every row. Plus the next 200 upcoming launches from The Space Devs Launch Library 2 (rideshares and compute launches flagged) and live orbit elements from CelesTrak for the compute satellites whose NORAD IDs are public. Refreshed daily by CyberMax.",
2113
  "license": "cc-by-4.0",
@@ -2128,7 +2129,7 @@
2128
  "orbits",
2129
  "changes"
2130
  ],
2131
- "lastModified": "2026-10-26T04:37:12.000Z"
2132
  },
2133
  {
2134
  "id": "CyberMax-tools/game-assets-samplers",
@@ -2139,9 +2140,9 @@
2139
  }
2140
  ],
2141
  "likes": 0,
2142
- "downloads": 728,
2143
  "prettyName": "CyberMax game asset samplers",
2144
- "description": "Original game assets generated by CyberMax's own code (no third-party art, no AI image models): pixel tiles, animated monsters, item icons, VFX, a 9-slice UI, Godot 4 shaders, low-poly glTF models, seamless retro textures, pixel fonts, top-down village tiles, a low-poly 3D dungeon kit, a vector sci-fi HUD kit and cozy UI sound effects. The pixel packs share one 32-colour palette, so they mix in one game. Last updated: 25 Oct 2026 (Delvewick Dungeon Kit, Glowkeel Sci-Fi HUD Kit and Plinkfern Cozy UI SFX added).",
2145
  "license": "other (cybermax-game-asset-licence-1.0)",
2146
  "tags": [
2147
  "game-assets",
@@ -2158,13 +2159,13 @@
2158
  "fonts"
2159
  ],
2160
  "configs": [],
2161
- "lastModified": "2026-10-25T18:47:06.000Z"
2162
  },
2163
  {
2164
  "id": "CyberMax-tools/open-domain-ranks-full-history",
2165
  "splits": [],
2166
  "likes": 0,
2167
- "downloads": 31,
2168
  "prettyName": "Open Domain Ranks: full history",
2169
  "description": "ds = load_dataset(\"CyberMax-tools/open-domain-ranks-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Every past version of the free Open Domain Ranks dataset, one folder per date under history/<YYYY-MM-DD>/, with the same files and columns as the main dataset. The main dataset stays open with no sign-in; this companion keeps the archive.",
2170
  "license": "other",
@@ -2180,7 +2181,7 @@
2180
  "id": "CyberMax-tools/kevscope-cve-kev-epss-daily-full-history",
2181
  "splits": [],
2182
  "likes": 0,
2183
- "downloads": 34,
2184
  "prettyName": "Kevscope CVE + KEV + EPSS: full history",
2185
  "description": "ds = load_dataset(\"CyberMax-tools/kevscope-cve-kev-epss-daily-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2186
  "license": "other",
@@ -2196,7 +2197,7 @@
2196
  "id": "CyberMax-tools/riskroll-sec-10k-10q-sections-full-history",
2197
  "splits": [],
2198
  "likes": 0,
2199
- "downloads": 37,
2200
  "prettyName": "Riskroll SEC 10-K/10-Q sections: full history",
2201
  "description": "ds = load_dataset(\"CyberMax-tools/riskroll-sec-10k-10q-sections-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2202
  "license": "cc0-1.0",
@@ -2212,7 +2213,7 @@
2212
  "id": "CyberMax-tools/sec-form4-insider-transactions-full-history",
2213
  "splits": [],
2214
  "likes": 0,
2215
- "downloads": 38,
2216
  "prettyName": "SEC Form 4 insider transactions: full history",
2217
  "description": "ds = load_dataset(\"CyberMax-tools/sec-form4-insider-transactions-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2218
  "license": "cc0-1.0",
@@ -2228,7 +2229,7 @@
2228
  "id": "CyberMax-tools/figurewell-sec-xbrl-financials-full-history",
2229
  "splits": [],
2230
  "likes": 0,
2231
- "downloads": 61,
2232
  "prettyName": "Figurewell SEC XBRL financials: full history",
2233
  "description": "ds = load_dataset(\"CyberMax-tools/figurewell-sec-xbrl-financials-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2234
  "license": "cc0-1.0",
@@ -2244,7 +2245,7 @@
2244
  "id": "CyberMax-tools/fipsbook-us-census-geographies-full-history",
2245
  "splits": [],
2246
  "likes": 0,
2247
- "downloads": 33,
2248
  "prettyName": "FIPSbook US Census geographies: full history",
2249
  "description": "ds = load_dataset(\"CyberMax-tools/fipsbook-us-census-geographies-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2250
  "license": "cc0-1.0",
@@ -2260,7 +2261,7 @@
2260
  "id": "CyberMax-tools/us-zip-codes-demographics-full-history",
2261
  "splits": [],
2262
  "likes": 0,
2263
- "downloads": 33,
2264
  "prettyName": "Ziplore US ZIP codes + demographics: full history",
2265
  "description": "ds = load_dataset(\"CyberMax-tools/us-zip-codes-demographics-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2266
  "license": "cc-by-4.0",
@@ -2276,7 +2277,7 @@
2276
  "id": "CyberMax-tools/curvewire-us-macro-panel-full-history",
2277
  "splits": [],
2278
  "likes": 0,
2279
- "downloads": 32,
2280
  "prettyName": "Curvewire US macro panel: full history",
2281
  "description": "ds = load_dataset(\"CyberMax-tools/curvewire-us-macro-panel-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2282
  "license": "cc0-1.0",
 
1
  {
2
+ "fetchedAt": "2026-10-29T04:42:22.498Z",
3
  "store": [
4
  {
5
  "name": "bulk-image-downloader",
 
32
  "createdAt": "2026-09-24T11:43:02.801Z"
33
  },
34
  "agenticPayments": true,
35
+ "users30d": 14,
36
  "runs30d": {
37
  "ABORTED": 2,
38
  "FAILED": 0,
39
+ "SUCCEEDED": 417,
40
  "TIMED-OUT": 0,
41
+ "TOTAL": 419
42
  },
43
  "rating": null,
44
  "reviews": 0
 
72
  "users30d": 6,
73
  "runs30d": {
74
  "ABORTED": 6,
75
+ "FAILED": 13,
76
+ "SUCCEEDED": 238,
77
  "TIMED-OUT": 2,
78
+ "TOTAL": 259
79
  },
80
  "rating": null,
81
  "reviews": 0
 
116
  "runs30d": {
117
  "ABORTED": 0,
118
  "FAILED": 0,
119
+ "SUCCEEDED": 119,
120
  "TIMED-OUT": 0,
121
+ "TOTAL": 119
122
  },
123
  "rating": null,
124
  "reviews": 0
125
  },
126
  {
127
+ "name": "domain-authority",
128
+ "title": "Linkheft — Bulk Domain Authority Checker & Website Rank API",
129
+ "description": "Know how big any website is, in bulk. Domain authority checker and Moz DA alternative from open data: 0–100 authority score, rank among 133M domains, tier, 4-month trend and referring subnets, for SEO audits and link prospects. No API key. $0.002 per ranked domain.",
130
+ "url": "https://apify.com/cybermax/domain-authority",
131
  "categories": [
132
+ "SEO_TOOLS",
133
+ "AI",
134
+ "LEAD_GENERATION"
135
  ],
136
  "pricing": {
137
  "pricingModel": "PAY_PER_EVENT",
138
+ "startedAt": "2026-09-24T00:00:00.000Z",
139
  "apifyMarginPercentage": 0.2,
140
  "pricingPerEvent": {
141
  "actorChargeEvents": {
142
+ "domain-ranked": {
143
+ "eventTitle": "Domain ranked",
144
+ "eventDescription": "One domain found in the open web graph or Majestic Million, returned with its 0–100 authority score, rank, tier, trend and referring subnets. Unranked, invalid and duplicate inputs are not charged.",
145
+ "eventPriceUsd": 0.002
146
  }
147
  }
148
  },
149
+ "createdAt": "2026-09-23T19:49:06.312Z"
150
  },
151
  "agenticPayments": true,
152
  "users30d": 2,
 
161
  "reviews": 0
162
  },
163
  {
164
+ "name": "website-contacts",
165
+ "title": "Contact Details & Email Scraper by Domain — Hollerdex",
166
+ "description": "Get any company's best email, phone and social profiles from its domain. Contact details scraper and email scraper: labelled emails (sales, support, press), E.164 phones, LinkedIn, X, Instagram, contact page and form. Monitor mode flags changes. $0.004 per domain with contacts; misses free.",
167
+ "url": "https://apify.com/cybermax/website-contacts",
168
  "categories": [
169
+ "LEAD_GENERATION",
170
+ "SOCIAL_MEDIA",
171
+ "AUTOMATION"
172
  ],
173
  "pricing": {
174
  "pricingModel": "PAY_PER_EVENT",
175
+ "startedAt": "2026-09-23T17:00:00.000Z",
176
  "apifyMarginPercentage": 0.2,
177
  "pricingPerEvent": {
178
  "actorChargeEvents": {
179
+ "domain-contacts-found": {
180
+ "eventTitle": "Domain with contacts found",
181
+ "eventDescription": "One domain's contact card with at least one email, phone or social profile. Domains with nothing public, blocked sites and unreachable domains are not charged.",
182
+ "eventPriceUsd": 0.004
183
  }
184
  }
185
  },
186
+ "createdAt": "2026-09-23T17:22:00.894Z"
187
  },
188
  "agenticPayments": true,
189
  "users30d": 2,
190
  "runs30d": {
191
  "ABORTED": 0,
192
  "FAILED": 0,
193
+ "SUCCEEDED": 34,
194
  "TIMED-OUT": 0,
195
+ "TOTAL": 34
196
  },
197
  "rating": null,
198
  "reviews": 0
 
227
  "runs30d": {
228
  "ABORTED": 0,
229
  "FAILED": 0,
230
+ "SUCCEEDED": 30,
231
  "TIMED-OUT": 0,
232
+ "TOTAL": 30
233
  },
234
  "rating": null,
235
  "reviews": 0
 
270
  "runs30d": {
271
  "ABORTED": 0,
272
  "FAILED": 0,
273
+ "SUCCEEDED": 4,
274
  "TIMED-OUT": 0,
275
+ "TOTAL": 4
276
+ },
277
+ "rating": null,
278
+ "reviews": 0
279
+ },
280
+ {
281
+ "name": "sitemap-url-extractor",
282
+ "title": "Sitemap URL Extractor: Get All Website URLs — Sitemoss",
283
+ "description": "Sitemap URL extractor: get all URLs of a website from its XML sitemaps. Finds sitemaps via robots.txt, follows sitemap indexes and .gz files, returns lastmod, changefreq, priority, hreflang and image counts. Monitor mode returns only new and updated pages. $0.40 per 1,000 URLs, no start fee.",
284
+ "url": "https://apify.com/cybermax/sitemap-url-extractor",
285
+ "categories": [
286
+ "SEO_TOOLS",
287
+ "DEVELOPER_TOOLS",
288
+ "AI"
289
+ ],
290
+ "pricing": {
291
+ "pricingModel": "PAY_PER_EVENT",
292
+ "startedAt": "2026-10-25T16:00:00.000Z",
293
+ "apifyMarginPercentage": 0.2,
294
+ "pricingPerEvent": {
295
+ "actorChargeEvents": {
296
+ "url-extracted": {
297
+ "eventTitle": "URL extracted",
298
+ "eventDescription": "One page URL delivered from the site's sitemaps, with its lastmod, changefreq, priority, hreflang alternates and image count. Duplicates, filtered-out URLs, unchanged URLs in monitor mode and sites with no sitemap are not charged. No start fee.",
299
+ "eventPriceUsd": 0.0004
300
+ }
301
+ }
302
+ },
303
+ "createdAt": "2026-10-25T12:51:12.477Z",
304
+ "notifiedAboutChangeAt": "2026-10-25T16:00:24.287Z"
305
+ },
306
+ "agenticPayments": true,
307
+ "users30d": 1,
308
+ "runs30d": {
309
+ "ABORTED": 0,
310
+ "FAILED": 0,
311
+ "SUCCEEDED": 3,
312
+ "TIMED-OUT": 0,
313
+ "TOTAL": 3
314
  },
315
  "rating": null,
316
  "reviews": 0
 
346
  "runs30d": {
347
  "ABORTED": 0,
348
  "FAILED": 0,
349
+ "SUCCEEDED": 3,
350
  "TIMED-OUT": 0,
351
+ "TOTAL": 3
352
  },
353
  "rating": null,
354
  "reviews": 0
355
  },
356
  {
357
+ "name": "meta-tags-extractor",
358
+ "title": "Meta Tags & Open Graph Extractor + Schema Checker — Unfurlwren",
359
+ "description": "Meta tag extractor and Open Graph checker: get each page's title, meta description, canonical, robots, hreflang, OG and Twitter Card tags (og:image verified), schema.org JSON-LD types, favicon and feeds, plus SEO and link-preview issues and a 0-100 score. $2 per 1,000 pages; failed pages free.",
360
+ "url": "https://apify.com/cybermax/meta-tags-extractor",
361
+ "categories": [
362
+ "SEO_TOOLS",
363
+ "DEVELOPER_TOOLS",
364
+ "AI"
365
+ ],
366
+ "pricing": {
367
+ "pricingModel": "PAY_PER_EVENT",
368
+ "startedAt": "2026-10-25T16:00:00.000Z",
369
+ "apifyMarginPercentage": 0.2,
370
+ "pricingPerEvent": {
371
+ "actorChargeEvents": {
372
+ "page-extracted": {
373
+ "eventTitle": "Page extracted",
374
+ "eventDescription": "One HTML page read: title, meta description, canonical, robots, hreflang, Open Graph and Twitter Card tags (og:image verified), schema.org JSON-LD and microdata types, icons, feeds, SEO issues and a score. Pages that fail to load, error pages (4xx/5xx), non-HTML URLs and unchanged pages in monitor mode are not charged. No start fee.",
375
+ "eventPriceUsd": 0.002
376
+ }
377
+ }
378
+ },
379
+ "createdAt": "2026-10-25T12:51:15.423Z",
380
+ "notifiedAboutChangeAt": "2026-10-25T16:00:24.347Z"
381
+ },
382
+ "agenticPayments": true,
383
+ "users30d": 1,
384
+ "runs30d": {
385
+ "ABORTED": 0,
386
+ "FAILED": 0,
387
+ "SUCCEEDED": 3,
388
+ "TIMED-OUT": 0,
389
+ "TOTAL": 3
390
+ },
391
+ "rating": null,
392
+ "reviews": 0
393
+ },
394
+ {
395
+ "name": "wayback-machine",
396
+ "title": "Wayback Machine Scraper: Website History & Snapshots — Eldwren",
397
+ "description": "Wayback Machine scraper and website history checker: get a site's first and last archive capture, archive age, years online, every snapshot (status, type, digest, link) or every archived URL of a domain. Official Internet Archive CDX API. $3 per 1,000 histories; snapshots $0.80 per 1,000.",
398
+ "url": "https://apify.com/cybermax/wayback-machine",
399
  "categories": [
400
+ "SEO_TOOLS",
401
  "LEAD_GENERATION",
402
+ "DEVELOPER_TOOLS"
403
+ ],
404
+ "pricing": {
405
+ "pricingModel": "PAY_PER_EVENT",
406
+ "startedAt": "2026-10-25T16:00:00.000Z",
407
+ "apifyMarginPercentage": 0.2,
408
+ "pricingPerEvent": {
409
+ "actorChargeEvents": {
410
+ "url-summarized": {
411
+ "eventTitle": "Website history summarized",
412
+ "eventDescription": "Summary mode: one domain or URL with Wayback Machine captures, summarized (first and last capture, archive age, months and years archived, gap years, status codes, versions, snapshot links). URLs that were never archived, archive errors and unchanged URLs in monitor mode are not charged.",
413
+ "eventPriceUsd": 0.003
414
+ },
415
+ "capture-listed": {
416
+ "eventTitle": "Snapshot or archived URL listed",
417
+ "eventDescription": "Snapshots or archived-URLs mode: one row (timestamp, URL, HTTP status, MIME type, size, digest, snapshot and raw-file links). No start fee.",
418
+ "eventPriceUsd": 0.0008
419
+ }
420
+ }
421
+ },
422
+ "createdAt": "2026-10-25T12:51:16.797Z",
423
+ "notifiedAboutChangeAt": "2026-10-25T16:00:24.357Z"
424
+ },
425
+ "agenticPayments": true,
426
+ "users30d": 1,
427
+ "runs30d": {
428
+ "ABORTED": 0,
429
+ "FAILED": 0,
430
+ "SUCCEEDED": 3,
431
+ "TIMED-OUT": 0,
432
+ "TOTAL": 3
433
+ },
434
+ "rating": null,
435
+ "reviews": 0
436
+ },
437
+ {
438
+ "name": "hacker-news",
439
+ "title": "Hacker News Scraper: Front Page, Search & Mentions — Frontpeek",
440
+ "description": "Hacker News scraper on the official HN API: front page (top), new, best, Ask HN, Show HN and jobs with rank, points, comments and age; keyword search; alerts when your domain or a competitor's is posted. Monitor mode returns only new stories. $0.30 per 1,000 stories, no start fee.",
441
+ "url": "https://apify.com/cybermax/hacker-news",
442
+ "categories": [
443
+ "NEWS",
444
+ "SEO_TOOLS",
445
  "AI"
446
  ],
447
  "pricing": {
448
  "pricingModel": "PAY_PER_EVENT",
449
+ "startedAt": "2026-10-25T16:00:00.000Z",
450
  "apifyMarginPercentage": 0.2,
451
  "pricingPerEvent": {
452
  "actorChargeEvents": {
453
+ "story": {
454
+ "eventTitle": "Story delivered",
455
+ "eventDescription": "One Hacker News story, Ask/Show HN post or job: title, link, domain, points, comments, age, rank (for lists) and the HN discussion link. Filtered-out stories, duplicates and stories already returned in earlier monitor runs are not charged. No start fee.",
456
+ "eventPriceUsd": 0.0003
457
  }
458
  }
459
  },
460
+ "createdAt": "2026-10-25T12:51:18.257Z",
461
+ "notifiedAboutChangeAt": "2026-10-25T16:00:24.387Z"
462
  },
463
  "agenticPayments": true,
464
  "users30d": 1,
465
  "runs30d": {
466
  "ABORTED": 0,
467
  "FAILED": 0,
468
+ "SUCCEEDED": 3,
469
  "TIMED-OUT": 0,
470
+ "TOTAL": 3
471
  },
472
  "rating": null,
473
  "reviews": 0
 
507
  "runs30d": {
508
  "ABORTED": 0,
509
  "FAILED": 0,
510
+ "SUCCEEDED": 27,
511
  "TIMED-OUT": 0,
512
+ "TOTAL": 27
513
  },
514
  "rating": null,
515
  "reviews": 0
516
  },
517
  {
518
+ "name": "company-enrichment",
519
+ "title": "Company Enrichment API: Domain to Company Data — Firmfold",
520
+ "description": "Get a full company profile from a domain, work email or company name: logo, tech stack, email security, domain age, contacts, socials, hiring and firmographics (founded, employees, HQ). B2B company data enrichment API, Clearbit alternative. $0.01 per company; misses free.",
521
+ "url": "https://apify.com/cybermax/company-enrichment",
522
  "categories": [
523
+ "LEAD_GENERATION",
524
+ "BUSINESS",
525
  "AI"
526
  ],
527
  "pricing": {
528
  "pricingModel": "PAY_PER_EVENT",
529
+ "startedAt": "2026-09-24T14:00:00.000Z",
530
  "apifyMarginPercentage": 0.2,
531
  "pricingPerEvent": {
532
  "actorChargeEvents": {
533
+ "company-enriched": {
534
+ "eventTitle": "Company enriched",
535
+ "eventDescription": "One company resolved to a live domain with at least one module filled: logo/brand colour, tech stack + email security + domain age, contacts + socials, hiring activity and/or Wikidata firmographics, in one flat record. Unknown names, dead domains, personal email providers and unchanged companies in monitor mode are not charged.",
536
+ "eventPriceUsd": 0.01
537
+ }
538
+ }
539
+ },
540
+ "createdAt": "2026-09-24T12:36:56.507Z"
541
+ },
542
+ "agenticPayments": true,
543
+ "users30d": 1,
544
+ "runs30d": {
545
+ "ABORTED": 0,
546
+ "FAILED": 0,
547
+ "SUCCEEDED": 28,
548
+ "TIMED-OUT": 0,
549
+ "TOTAL": 28
550
+ },
551
+ "rating": null,
552
+ "reviews": 0
553
+ },
554
+ {
555
+ "name": "hiring-signals",
556
+ "title": "Hiring Signals & Company Job Postings by Domain — HireHeat",
557
+ "description": "See which companies are hiring right now. Company hiring signals and job postings by domain: open roles, new roles in the last 7/30 days, by function, seniority and location, from Greenhouse, Lever, Ashby, Workable, SmartRecruiters. Hiring-spike alerts. $0.01 per company found; misses free.",
558
+ "url": "https://apify.com/cybermax/hiring-signals",
559
+ "categories": [
560
+ "JOBS",
561
+ "LEAD_GENERATION",
562
+ "AUTOMATION"
563
+ ],
564
+ "pricing": {
565
+ "pricingModel": "PAY_PER_EVENT",
566
+ "startedAt": "2026-09-23T15:00:00.000Z",
567
+ "apifyMarginPercentage": 0.2,
568
+ "pricingPerEvent": {
569
+ "actorChargeEvents": {
570
+ "company-checked": {
571
+ "eventTitle": "Company hiring summary",
572
+ "eventDescription": "One company whose job board was found: open roles, new roles in the last 7/30 days, functions, seniority, locations. Companies with no board found are free.",
573
+ "eventPriceUsd": 0.01
574
  },
575
+ "job-returned": {
576
+ "eventTitle": "Job returned",
577
+ "eventDescription": "One open job returned in the dataset (only when 'Also return every job' is on).",
578
+ "eventPriceUsd": 0.001
579
  }
580
  }
581
  },
582
+ "createdAt": "2026-09-23T14:16:12.567Z",
583
+ "notifiedAboutChangeAt": "2026-09-23T15:06:00.233Z"
584
  },
585
  "agenticPayments": true,
586
  "users30d": 1,
587
  "runs30d": {
588
  "ABORTED": 0,
589
  "FAILED": 0,
590
+ "SUCCEEDED": 27,
591
  "TIMED-OUT": 0,
592
+ "TOTAL": 27
593
  },
594
  "rating": null,
595
  "reviews": 0
596
  },
597
  {
598
+ "name": "domain-intel",
599
+ "title": "Tech Stack Detector & Technology Lookup + WHOIS — DomainDNA",
600
+ "description": "Know what any website runs on in seconds. Tech stack detector (a Wappalyzer and BuiltWith alternative) plus WHOIS/RDAP domain age, DNS, MX provider, SPF/DMARC, TLS expiry and security headers in one JSON record. Monitor mode flags changes. $0.004 per domain.",
601
+ "url": "https://apify.com/cybermax/domain-intel",
602
  "categories": [
603
  "LEAD_GENERATION",
604
  "DEVELOPER_TOOLS",
605
+ "SEO_TOOLS"
606
  ],
607
  "pricing": {
608
  "pricingModel": "PAY_PER_EVENT",
609
+ "startedAt": "2026-09-23T14:00:00.000Z",
610
  "apifyMarginPercentage": 0.2,
611
  "pricingPerEvent": {
612
  "actorChargeEvents": {
613
+ "domain-analyzed": {
614
+ "eventTitle": "Domain analyzed",
615
+ "eventDescription": "One domain analysed and returned: tech stack, email security, TLS, registration, headers and well-known files. Domains that don't resolve are not charged.",
616
+ "eventPriceUsd": 0.004
617
  }
618
  }
619
  },
620
+ "createdAt": "2026-09-23T13:53:02.555Z"
621
  },
622
  "agenticPayments": true,
623
  "users30d": 1,
624
  "runs30d": {
625
  "ABORTED": 0,
626
  "FAILED": 0,
627
+ "SUCCEEDED": 27,
628
  "TIMED-OUT": 0,
629
+ "TOTAL": 27
630
  },
631
  "rating": null,
632
  "reviews": 0
633
  },
634
  {
635
+ "name": "logo-finder",
636
+ "title": "Logo Finder: Company Logo API & Favicon by Domain — Logolark",
637
+ "description": "Logo finder and company logo API: give domains, URLs or work emails, get each company's own logo and square icon, verified by download (SVG/PNG/ICO, real size, transparency), its brand colour and a hosted copy. Clearbit Logo API alternative. $2 per 1,000 logos found; misses free.",
638
+ "url": "https://apify.com/cybermax/logo-finder",
639
  "categories": [
 
640
  "LEAD_GENERATION",
641
+ "DEVELOPER_TOOLS",
642
+ "AI"
643
  ],
644
  "pricing": {
645
  "pricingModel": "PAY_PER_EVENT",
646
+ "startedAt": "2026-09-23T23:00:00.000Z",
647
  "apifyMarginPercentage": 0.2,
648
  "pricingPerEvent": {
649
  "actorChargeEvents": {
650
+ "logo-resolved": {
651
+ "eventTitle": "Logo resolved",
652
+ "eventDescription": "One domain for which a logo and/or square icon was found on the company's own site and verified by download: URLs, real size, format, transparency, brand colour and a hosted copy. Domains with nothing found, bot-walled sites and invalid inputs are not charged.",
653
+ "eventPriceUsd": 0.002
 
 
 
 
 
654
  }
655
  }
656
  },
657
+ "createdAt": "2026-09-23T22:31:24.521Z"
 
658
  },
659
  "agenticPayments": true,
660
  "users30d": 1,
661
  "runs30d": {
662
  "ABORTED": 0,
663
  "FAILED": 0,
664
+ "SUCCEEDED": 4,
665
  "TIMED-OUT": 0,
666
+ "TOTAL": 4
667
  },
668
  "rating": null,
669
  "reviews": 0
670
  },
671
  {
672
+ "name": "keyword-ideas",
673
+ "title": "Keyfern — Long-Tail Keyword Ideas & Google Autocomplete Scraper",
674
+ "description": "Hundreds of real long-tail keywords from one seed. Keyword research and Google autocomplete scraper: keyword suggestions from Google, YouTube, Bing, Amazon and DuckDuckGo, with search intent, clusters, signal score, Google Trends verdicts and new-keyword alerts. $0.001 per keyword idea.",
675
+ "url": "https://apify.com/cybermax/keyword-ideas",
676
  "categories": [
677
+ "SEO_TOOLS",
678
+ "MARKETING",
679
+ "AI"
680
  ],
681
  "pricing": {
682
  "pricingModel": "PAY_PER_EVENT",
683
+ "startedAt": "2026-09-24T00:00:00.000Z",
684
  "apifyMarginPercentage": 0.2,
685
  "pricingPerEvent": {
686
  "actorChargeEvents": {
687
+ "keyword-idea": {
688
+ "eventTitle": "Keyword idea",
689
+ "eventDescription": "One unique keyword idea returned (deduped across engines and expansions), with intent, cluster, engines and signal score. Capped per seed by 'Max ideas per seed'.",
690
+ "eventPriceUsd": 0.001
691
+ },
692
+ "trend-checked": {
693
+ "eventTitle": "Trend verdict",
694
+ "eventDescription": "One keyword given a Google Trends rising/falling/spiking/stable verdict and % change. Keywords with no measurable volume and failed checks are not charged.",
695
+ "eventPriceUsd": 0.003
696
  }
697
  }
698
  },
699
+ "createdAt": "2026-09-23T18:21:23.984Z"
700
  },
701
  "agenticPayments": true,
702
  "users30d": 1,
703
  "runs30d": {
704
  "ABORTED": 0,
705
  "FAILED": 0,
706
+ "SUCCEEDED": 25,
707
  "TIMED-OUT": 0,
708
+ "TOTAL": 25
709
  },
710
  "rating": null,
711
  "reviews": 0
 
748
  "runs30d": {
749
  "ABORTED": 0,
750
  "FAILED": 0,
751
+ "SUCCEEDED": 26,
752
  "TIMED-OUT": 0,
753
+ "TOTAL": 26
754
  },
755
  "rating": null,
756
  "reviews": 0
 
785
  "runs30d": {
786
  "ABORTED": 0,
787
  "FAILED": 0,
788
+ "SUCCEEDED": 29,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
789
  "TIMED-OUT": 0,
790
+ "TOTAL": 29
791
  },
792
  "rating": null,
793
  "reviews": 0
 
829
  "runs30d": {
830
  "ABORTED": 0,
831
  "FAILED": 0,
832
+ "SUCCEEDED": 29,
833
  "TIMED-OUT": 0,
834
+ "TOTAL": 29
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
835
  },
 
 
 
836
  "rating": null,
837
  "reviews": 0
838
  },
839
  {
840
+ "name": "website-screenshot",
841
+ "title": "Capturewren — Website Screenshot API: See & Read Any Web Page",
842
+ "description": "See and read any web page in one call. Website screenshot API and generator: full-page, element or mobile PNG/JPEG screenshot plus HTTP status, title, meta and clean page text. Cookie banners removed; monitor mode for page change alerts. $0.003 per screenshot, failures free.",
843
+ "url": "https://apify.com/cybermax/website-screenshot",
844
  "categories": [
 
845
  "DEVELOPER_TOOLS",
846
+ "AUTOMATION",
847
  "AI"
848
  ],
849
  "pricing": {
850
  "pricingModel": "PAY_PER_EVENT",
851
+ "startedAt": "2026-09-23T15:30:00.000Z",
852
  "apifyMarginPercentage": 0.2,
853
  "pricingPerEvent": {
854
  "actorChargeEvents": {
855
+ "screenshot": {
856
+ "eventTitle": "Screenshot captured",
857
+ "eventDescription": "One page captured: image saved with a public URL, plus status, final URL, title, description and page text. Failed pages (unreachable, timeout, selector not found) are not charged.",
858
+ "eventPriceUsd": 0.003
859
  }
860
  }
861
  },
862
+ "createdAt": "2026-09-23T14:52:53.664Z",
863
+ "notifiedAboutChangeAt": "2026-09-23T15:36:03.677Z"
864
  },
865
  "agenticPayments": true,
866
  "users30d": 1,
867
  "runs30d": {
868
  "ABORTED": 0,
869
  "FAILED": 0,
870
+ "SUCCEEDED": 37,
871
  "TIMED-OUT": 0,
872
+ "TOTAL": 37
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
873
  },
 
 
 
874
  "rating": null,
875
  "reviews": 0
876
  }
 
1202
  }
1203
  ],
1204
  "likes": 0,
1205
+ "downloads": 18047,
1206
  "prettyName": "Linkheft Open Domain Ranks (10.3M domains)",
1207
  "description": "ds = load_dataset(\"CyberMax-tools/open-domain-ranks\", split=\"train\", streaming=True) for row in ds.take(5): print(row) Need it fresh, filtered or via API? Linkheft domain authority API (1,000 free domain lookups a day, $5 for 25,000 (no expiry, no subscription), or $19/month for 100,000). <!-- cybermax-use:end -->",
1208
  "license": "other (cc-by-3.0-and-common-crawl-terms)",
 
1229
  }
1230
  ],
1231
  "likes": 0,
1232
+ "downloads": 270,
1233
  "prettyName": "DomainDNA: SaaS Email Security & Tech Stack Snapshot",
1234
  "description": "How do well-known SaaS companies protect their email domains and what do their websites run on? One row per domain per snapshot, from public DNS, TLS, RDAP and HTTP facts only: Email security: mail provider (Google Workspace, Microsoft 365, Proofpoint...), SPF presence and all qualifier, SPF includes, DMARC policy (none / quarantine / reject), subdomain policy, pct, reporting enabled; Infrastructure: nameservers, TLS issuer, protocol and days until certificate expiry, registrar, domain age and expiry; Website: detected technologies and categories (CMS, framework, CDN, analytics, marketing automation...), SaaS domain-verification TXT records (which tools a company has verified), security-headers score (0-6), robots.txt / sitemap.xml / llms.txt / security.txt presence.",
1235
  "license": "cc-by-4.0",
 
1259
  }
1260
  ],
1261
  "likes": 0,
1262
+ "downloads": 286,
1263
  "prettyName": "HireHeat: Tech Company Hiring Snapshot",
1264
  "description": "Who is hiring in tech right now, and for what? One row per company per snapshot with open-job counts from each company's own public job board (Greenhouse, Lever, Ashby, SmartRecruiters, Workable, Recruitee), broken down by function, seniority, top departments and top locations, plus how many roles were posted in the last 7 and 30 days.",
1265
  "license": "cc-by-4.0",
 
1289
  }
1290
  ],
1291
  "likes": 0,
1292
+ "downloads": 225,
1293
  "prettyName": "Gripeline: App Store & Google Play Complaint Stats",
1294
  "description": "What are users of popular apps complaining about right now? One row per app per store per snapshot, computed from the newest reviews (up to 300 per app and store, US App Store and English Google Play): star mix (1 to 5), average rating of the sample, share of negative (1-2 stars) and positive (4-5 stars) reviews, developer reply rate; top complaint phrases and top praise phrases with the number of reviews that mention each; worst versions: app versions with the lowest average rating in the sample; the store's overall rating and rating count, for contrast with recent sentiment.",
1295
  "license": "cc-by-4.0",
 
1318
  }
1319
  ],
1320
  "likes": 0,
1321
+ "downloads": 734,
1322
  "prettyName": "Insidewell: SEC Form 4 Insider Transactions (latest EDGAR filings)",
1323
  "description": "Every insider stock transaction (non-derivative table) reported to the SEC on Form 4 and 4/A over the latest 5 EDGAR business days (filed 2026-09-17 to 2026-09-23; a few late filings report older trades): officers, directors and 10% owners buying, selling, receiving grants, exercising options, gifting shares and more, across all SEC-reporting issuers. Cleaned into one flat table with ticker, insider role, dollar value and a cluster-buy flag (2 or more insiders of the same company buying on the open market within 7 days).",
1324
  "license": "cc0-1.0",
 
1357
  }
1358
  ],
1359
  "likes": 1,
1360
+ "downloads": 705,
1361
  "prettyName": "Kevscope: CVE + CISA KEV + EPSS, joined daily",
1362
  "description": "Which vulnerabilities should you patch first? Kevscope puts the three public signals side by side, already joined on the CVE ID: CISA KEV: the US government's catalog of vulnerabilities known to be exploited in the wild, with due dates and ransomware use; EPSS (FIRST): the probability that a CVE will be exploited in the next 30 days, for every published CVE; NVD: CVSS severity (v4.0 → v3.1 → v3.0 → v2, best available), CWE weaknesses, affected vendor:product pairs and the description.",
1363
  "license": "other (open-mixed-cc0-public-domain-epss-attribution)",
 
1395
  }
1396
  ],
1397
  "likes": 0,
1398
+ "downloads": 529,
1399
  "prettyName": "Eventwren: SEC 8-K Material Events by Item (latest EDGAR filings)",
1400
  "description": "Every current report (Form 8-K and 8-K/A) filed with the SEC over the latest 20 EDGAR business days, split into one row per reported Item: new material agreements (1.01), earnings releases (2.02), acquisitions closed (2.01), impairments (2.06), delisting notices (3.01), auditor changes (4.01), restatements (4.02), CEO/CFO/director departures and appointments (5.02), cybersecurity incidents (1.05), bankruptcies (1.03) and the rest. Each row has the ticker, CIK, SIC industry code, SEC acceptance timestamp and a link to the filing.",
1401
  "license": "cc0-1.0",
 
1428
  }
1429
  ],
1430
  "likes": 0,
1431
+ "downloads": 648,
1432
  "prettyName": "Ziplore US ZIP Codes with Census Demographics (41,682 ZIPs)",
1433
  "description": "ds = load_dataset(\"CyberMax-tools/us-zip-codes-demographics\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() Need it fresh, filtered or via API? Ziplore ZIP code API (200 free calls a day, $5 for 12,000 (no expiry), or $19/month for 60,000). <!-- cybermax-use:end -->",
1434
  "license": "cc-by-4.0",
 
1464
  }
1465
  ],
1466
  "likes": 0,
1467
+ "downloads": 422,
1468
  "prettyName": "Curvewire: US Treasury yield curve + BLS macro panel (official sources)",
1469
  "description": "The US numbers macro models, trading bots and LLM agents ask for most, taken straight from the agencies that publish them (US Treasury and the Bureau of Labor Statistics), not scraped from redistributors, and cleaned into three tidy tables: treasury_yields (default), treasury_real_yields, bls_monthly.",
1470
  "license": "cc0-1.0",
 
1498
  }
1499
  ],
1500
  "likes": 0,
1501
+ "downloads": 255,
1502
  "prettyName": "Trialtide: every ClinicalTrials.gov study in one table",
1503
  "description": "All 604,146 studies registered on ClinicalTrials.gov, flattened to one row per study: status, phase, design, enrollment, key dates, conditions (with MeSH terms), interventions, lead sponsor and sponsor type, collaborators, countries, number of sites, eligibility basics, primary outcomes and whether results are posted.",
1504
  "license": "other (us-public-domain-clinicaltrials-gov)",
 
1568
  }
1569
  ],
1570
  "likes": 0,
1571
+ "downloads": 578,
1572
  "prettyName": "Fipsbook: US Census Geographies with FIPS Codes, Centroids & Land Area (2025)",
1573
  "description": "Free lookup tables for joining, mapping and geocoding US data: 210,319 rows across 11 layers (states, 3,222 counties, 32,350 places, 36,427 county subdivisions, 33,791 ZIP code areas (ZCTAs), 85,396 Census tracts, 935 metro/micro areas, 440 congressional districts of the 119th Congress, 6,843 state legislative districts and 10,863 school districts), each with its GEOID/FIPS code, name, land and water area (m² and sq mi) and an internal-point latitude/longitude.",
1574
  "license": "cc0-1.0",
 
1610
  }
1611
  ],
1612
  "likes": 0,
1613
+ "downloads": 243,
1614
  "prettyName": "Toolroll: Official MCP Registry Snapshot (every MCP server, weekly)",
1615
  "description": "A snapshot of the official Model Context Protocol (MCP) Registry (registry.modelcontextprotocol.io) as a single Parquet table: 35,403 MCP servers (35,028 active, 375 deprecated) from 20,000+ publishers, snapshot 2026-09-24 07:03 UTC. One row per server (its latest version) with its description, how you connect to it (remote URL and transport, or npm / PyPI / Docker (OCI) / MCPB / NuGet / Cargo package), whether it needs a secret (API key header or secret env var), repository, website and publish dates.",
1616
  "license": "other (mcp-registry-public-metadata)",
 
1648
  }
1649
  ],
1650
  "likes": 1,
1651
+ "downloads": 2730,
1652
  "prettyName": "Figurewell: SEC XBRL Financial Statements & Key Metrics (every US filer, latest 4 quarters)",
1653
  "description": "The numbers from every financial statement filed with the SEC in the latest four quarters: 10-K, 10-Q, 20-F and 40-F reports from 7,000+ US-listed and SEC-registered companies, as tidy parquet you can query in one line. Revenue, net income, EPS, total assets, cash, debt, operating cash flow, capex and dividends per filing, plus every other reported face-statement value.",
1654
  "license": "cc0-1.0",
 
1682
  }
1683
  ],
1684
  "likes": 0,
1685
+ "downloads": 293,
1686
  "prettyName": "Pingroll: MCP Server Uptime (daily handshake probes of every remote server in the official MCP Registry)",
1687
  "description": "Registries and directories tell you an MCP server exists. This dataset tells you whether it works: every public remote server in the official MCP Registry gets a real MCP handshake once a day (initialize → notifications/initialized → tools/list; no tool is ever called), and each result is recorded: up or down, how fast, which protocol version, how many tools and whether their schemas are valid. One file per day, so uptime history builds up.",
1688
  "license": "cc0-1.0",
 
1717
  }
1718
  ],
1719
  "likes": 0,
1720
+ "downloads": 1542,
1721
  "prettyName": "Riskroll: SEC 10-K & 10-Q Risk Factors, MD&A and Market Risk Text (clean, by section)",
1722
  "description": "The parts of annual and quarterly reports that analysts, researchers and LLM pipelines actually read, cut out of each filing and cleaned: Risk Factors (Item 1A), Management's Discussion and Analysis (MD&A), Quantitative and Qualitative Disclosures About Market Risk, Cybersecurity (Item 1C) and Business (Item 1), one row per filing × section, for every 10-K and 10-Q filed with the SEC. New filings are added as they come in, so the corpus grows month by month.",
1723
  "license": "cc0-1.0",
 
1762
  }
1763
  ],
1764
  "likes": 0,
1765
+ "downloads": 392,
1766
  "prettyName": "Policywren: US AI Policy Tracker (Federal Register, daily)",
1767
  "description": "Every document in the US Federal Register since 2017-01-01 whose text mentions artificial intelligence: executive orders and other presidential documents, final rules, proposed rules, notices, requests for information and their comment periods, with dates, agencies, dockets and links. Rebuilt daily from the official Federal Register API. Neutral and factual; not legal advice.",
1768
  "license": "cc0-1.0",
 
1797
  }
1798
  ],
1799
  "likes": 0,
1800
+ "downloads": 558,
1801
  "prettyName": "Swellmeter: Google Trending Searches (daily snapshot, 30 countries)",
1802
  "description": "A daily snapshot of Google Trends' \"Trending now\" list for 30 countries: each trending search, its approximate traffic bucket, when it started trending, and the news articles Google attached to it. One Parquet file per day (data/trending-YYYY-MM-DD.parquet), so a history of what the world searched for builds up over time. Google's own feed only shows what is trending now; this dataset keeps it.",
1803
  "license": "other (google-trends-public-feed)",
 
1815
  "configs": [
1816
  "default"
1817
  ],
1818
+ "lastModified": "2026-10-29T04:31:52.000Z"
1819
  },
1820
  {
1821
  "id": "CyberMax-tools/hireheat-career-site-jobs-weekly",
 
1826
  }
1827
  ],
1828
  "likes": 0,
1829
+ "downloads": 328,
1830
  "prettyName": "HireHeat Jobs: career-site job postings, first posted in the last 7 days (weekly snapshots)",
1831
  "description": "Each snapshot holds every job first posted in the last 7 days on the company career sites in the HireHeat Jobs directory, read straight from each employer's applicant tracking system (Greenhouse, Ashby, Workable, SmartRecruiters). One row per job with title, company, location, remote flag, department, employment type, salary where the employer publishes it, posting date and the apply link, plus a derived job function and seniority. No description text and no people: job postings only. A new file is added every week, so the history of who hires what builds up.",
1832
  "license": "other (public-job-postings)",
 
1858
  }
1859
  ],
1860
  "likes": 0,
1861
+ "downloads": 255,
1862
  "prettyName": "Gripeline: SmartThings App Review Mood Around the Sept 2026 Fridge Firmware Incident",
1863
  "description": "On 22 Sep 2026 a refrigerator firmware update pushed through Samsung's SmartThings platform left some smart fridges in Korea without power (Ars Technica, 23 Sep 2026; Samsung told Ars the issue was limited to Korea and came from an error during internal testing). Did it show up in the app stores? This dataset has one row per day, store and country for the SmartThings app, 8–23 Sep 2026: review count, average rating, share of 1–2 star reviews, and how many reviews mention the fridge, an update/firmware, or going offline/losing connection (keywords matched in Korean and English).",
1864
  "license": "cc-by-4.0",
 
1888
  }
1889
  ],
1890
  "likes": 0,
1891
+ "downloads": 252,
1892
  "prettyName": "Keyfern: What People Search About Superintelligence (Sept 2026)",
1893
  "description": "\"Superintelligence\" moved from books and sci-fi into the news in the week of 22 Sep 2026: an AI remark in a UN General Assembly speech (22 Sep) and a proposed US bill to ban artificial superintelligence (reported by AP on 23 Sep; see the Policywren AI policy tracker for the verified events). This dataset records what people were typing into search boxes about it that week: 1,106 unique autocomplete suggestions for four seeds (superintelligence, super intelligence, artificial superintelligence, ai ban), collected on 24 Sep 2026 from Google, YouTube and Bing autocomplete (588 lookups: seed, seed + a–z, 12 question words, 10 prepositions).",
1894
  "license": "cc-by-4.0",
 
1925
  }
1926
  ],
1927
  "likes": 0,
1928
+ "downloads": 226,
1929
  "prettyName": "Policywren: Superintelligence Ban Bill, News Coverage & Search Interest (Sept 2026)",
1930
  "description": "In September 2026 \"superintelligence\" became a US policy topic: a US senator and a House member announced a bill to ban the development of artificial superintelligence and pause advanced AI development until a federal regulator sets safety rules (Senate press release, 3 Sep; widely reported on 23 Sep), and a White House release quoted a 22 Sep UN speech saying AI is \"hereinafter officially called 'Super Intelligence'\". This dataset shows how much attention that got, day by day, from public sources, with the primary sources re-checked on the day it was built.",
1931
  "license": "cc-by-4.0",
 
1959
  }
1960
  ],
1961
  "likes": 0,
1962
+ "downloads": 389,
1963
  "prettyName": "Haulroll: new US motor carrier registrations (FMCSA), daily",
1964
  "description": "Every motor carrier, broker and freight forwarder that received a new USDOT number in the last 90 days, from the FMCSA Company Census File, one row per company, company-level fields only.",
1965
  "license": "other (us-government-work)",
 
1996
  }
1997
  ],
1998
  "likes": 0,
1999
+ "downloads": 339,
2000
  "prettyName": "Awardtide: US federal contracts ending in the next 12 months + open SAM.gov bids",
2001
  "description": "Which federal contracts will be re-bid soon, who holds them now, and what is open for bids today? Two tables from official public data, rebuilt together: ending_contracts: prime federal contracts (definitive contracts, purchase orders, delivery and BPA call orders; award types A–D) with at least $1M obligated and any action in the current fiscal year, whose current period of performance ends in the next 12 months. Incumbent, UEI, agency, office, NAICS, PSC, obligated and potential value, start/current-end/potential-end dates, days to end, set-aside, extent competed, offers received, base description and a USAspending link; open_opportunities: active SAM.gov notices (solicitations, combined synopsis/solicitations, presolicitations, sources sought, special notices) with a response deadline today or later: title, solicitation number, department, office, type, set-aside, NAICS, PSC, place of",
2002
  "license": "other (us-government-work)",
 
2032
  }
2033
  ],
2034
  "likes": 0,
2035
+ "downloads": 891,
2036
  "prettyName": "Recallroll: US vehicle safety recalls, last 12 months (NHTSA)",
2037
  "description": "Every US safety recall campaign NHTSA received in the last 365 days (2025-09-25 to 2026-09-18): 958 campaigns with 43,450,237 vehicles and items potentially affected (manufacturer estimates), 50 of them in the last 30 days. 25 carry a Do Not Drive advisory and 24 a Park Outside (fire risk) advisory. Rebuilt from NHTSA's daily recall file; built 2026-09-25 01:29 UTC.",
2038
  "license": "other (us-government-work)",
 
2079
  }
2080
  ],
2081
  "likes": 0,
2082
+ "downloads": 558,
2083
  "prettyName": "Coffermap: federal contract and grant spending by state and county (FY2025)",
2084
  "description": "Federal obligations by place of performance for fiscal year 2025 (2024-10-01 to 2025-09-30): $744.0B in contracts and $1.23T in grants across 56 states and territories and 3,229 counties. Top state for contract dollars: Virginia; top county: Fairfax County, VA. Built 2026-09-25 01:49 UTC from the public USAspending.gov API.",
2085
  "license": "other (us-government-work)",
 
2106
  },
2107
  {
2108
  "id": "CyberMax-tools/orbitwren-orbital-compute-tracker",
2109
+ "splits": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2110
  "likes": 0,
2111
+ "downloads": 945,
2112
  "prettyName": "Orbitwren: Orbital Compute & Space Data Center Tracker",
2113
  "description": "Every public orbital-compute and space data center project in one table: who is building it, what hardware is (or will be) in orbit, launch date, status, publicly stated funding, and a source link for every row. Plus the next 200 upcoming launches from The Space Devs Launch Library 2 (rideshares and compute launches flagged) and live orbit elements from CelesTrak for the compute satellites whose NORAD IDs are public. Refreshed daily by CyberMax.",
2114
  "license": "cc-by-4.0",
 
2129
  "orbits",
2130
  "changes"
2131
  ],
2132
+ "lastModified": "2026-10-29T04:39:14.000Z"
2133
  },
2134
  {
2135
  "id": "CyberMax-tools/game-assets-samplers",
 
2140
  }
2141
  ],
2142
  "likes": 0,
2143
+ "downloads": 835,
2144
  "prettyName": "CyberMax game asset samplers",
2145
+ "description": "ds = load_dataset(\"CyberMax-tools/game-assets-samplers\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Original game assets generated by CyberMax's own code (no third-party art, no AI image models): pixel tiles, animated monsters, item icons, VFX, a 9-slice UI, Godot 4 shaders, low-poly glTF models, seamless retro textures, pixel fonts, top-down village tiles, a low-poly 3D dungeon kit, a vector sci-fi HUD kit and cozy UI sound effects. The pixel packs share one 32-colour palette, so they mix in one game. Last updated: 25 Oct 2026 (Delvewick Dungeon Kit, Glowkeel Sci-Fi HUD Kit and Plinkfern Cozy UI SFX added).",
2146
  "license": "other (cybermax-game-asset-licence-1.0)",
2147
  "tags": [
2148
  "game-assets",
 
2159
  "fonts"
2160
  ],
2161
  "configs": [],
2162
+ "lastModified": "2026-10-26T08:33:18.000Z"
2163
  },
2164
  {
2165
  "id": "CyberMax-tools/open-domain-ranks-full-history",
2166
  "splits": [],
2167
  "likes": 0,
2168
+ "downloads": 32,
2169
  "prettyName": "Open Domain Ranks: full history",
2170
  "description": "ds = load_dataset(\"CyberMax-tools/open-domain-ranks-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Every past version of the free Open Domain Ranks dataset, one folder per date under history/<YYYY-MM-DD>/, with the same files and columns as the main dataset. The main dataset stays open with no sign-in; this companion keeps the archive.",
2171
  "license": "other",
 
2181
  "id": "CyberMax-tools/kevscope-cve-kev-epss-daily-full-history",
2182
  "splits": [],
2183
  "likes": 0,
2184
+ "downloads": 35,
2185
  "prettyName": "Kevscope CVE + KEV + EPSS: full history",
2186
  "description": "ds = load_dataset(\"CyberMax-tools/kevscope-cve-kev-epss-daily-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2187
  "license": "other",
 
2197
  "id": "CyberMax-tools/riskroll-sec-10k-10q-sections-full-history",
2198
  "splits": [],
2199
  "likes": 0,
2200
+ "downloads": 38,
2201
  "prettyName": "Riskroll SEC 10-K/10-Q sections: full history",
2202
  "description": "ds = load_dataset(\"CyberMax-tools/riskroll-sec-10k-10q-sections-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2203
  "license": "cc0-1.0",
 
2213
  "id": "CyberMax-tools/sec-form4-insider-transactions-full-history",
2214
  "splits": [],
2215
  "likes": 0,
2216
+ "downloads": 40,
2217
  "prettyName": "SEC Form 4 insider transactions: full history",
2218
  "description": "ds = load_dataset(\"CyberMax-tools/sec-form4-insider-transactions-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2219
  "license": "cc0-1.0",
 
2229
  "id": "CyberMax-tools/figurewell-sec-xbrl-financials-full-history",
2230
  "splits": [],
2231
  "likes": 0,
2232
+ "downloads": 64,
2233
  "prettyName": "Figurewell SEC XBRL financials: full history",
2234
  "description": "ds = load_dataset(\"CyberMax-tools/figurewell-sec-xbrl-financials-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2235
  "license": "cc0-1.0",
 
2245
  "id": "CyberMax-tools/fipsbook-us-census-geographies-full-history",
2246
  "splits": [],
2247
  "likes": 0,
2248
+ "downloads": 35,
2249
  "prettyName": "FIPSbook US Census geographies: full history",
2250
  "description": "ds = load_dataset(\"CyberMax-tools/fipsbook-us-census-geographies-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2251
  "license": "cc0-1.0",
 
2261
  "id": "CyberMax-tools/us-zip-codes-demographics-full-history",
2262
  "splits": [],
2263
  "likes": 0,
2264
+ "downloads": 35,
2265
  "prettyName": "Ziplore US ZIP codes + demographics: full history",
2266
  "description": "ds = load_dataset(\"CyberMax-tools/us-zip-codes-demographics-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2267
  "license": "cc-by-4.0",
 
2277
  "id": "CyberMax-tools/curvewire-us-macro-panel-full-history",
2278
  "splits": [],
2279
  "likes": 0,
2280
+ "downloads": 33,
2281
  "prettyName": "Curvewire US macro panel: full history",
2282
  "description": "ds = load_dataset(\"CyberMax-tools/curvewire-us-macro-panel-full-history\", split=\"train\") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->",
2283
  "license": "cc0-1.0",
market/llms-full.txt CHANGED
@@ -2,7 +2,7 @@
2
 
3
  > Machine-readable catalog of every live CyberMax capability: 22 pay-per-result API tools (callable as MCP tools or HTTP APIs, billed to the caller's own Apify account) and 35 free open datasets. Pick a tool by what it returns; every entry has JSON Schemas for input and output, pricing and copy-paste integration code.
4
 
5
- How to call a tool: hosted MCP `https://mcp.apify.com/?tools=cybermax/<name>` (streamable HTTP, header `Authorization: Bearer <APIFY_TOKEN>`; several tools: comma-separate them), tool name `cybermax--<name>`; or HTTP `POST https://api.apify.com/v2/acts/cybermax~<name>/run-sync-get-dataset-items` with the input JSON. Structured catalog: https://cybermax-tools-cybermax.static.hf.space/market/catalog.json. Built 2026-10-26T08:31:24.662Z.
6
 
7
  ## Tools
8
  - [Gripeline](https://apify.com/cybermax/app-reviews): See what users complain about in any app.
@@ -90,7 +90,7 @@ How to call a tool: hosted MCP `https://mcp.apify.com/?tools=cybermax/<name>` (s
90
  - [Recallroll: US vehicle safety recalls, last 12 months (NHTSA)](https://huggingface.co/datasets/CyberMax-tools/recallroll-vehicle-recalls): Every US safety recall campaign NHTSA received in the last 365 days (2025-09-25 to 2026-09-18): 958 campaigns with 43,450,237 vehicles and items potentially affected (manufacturer estimates), 50 of them in the last 30 days. License: other (us-government-work).
91
  - [Coffermap: federal contract and grant spending by state and county (FY2025)](https://huggingface.co/datasets/CyberMax-tools/coffermap-federal-spending-by-county): Federal obligations by place of performance for fiscal year 2025 (2024-10-01 to 2025-09-30): $744.0B in contracts and $1.23T in grants across 56 states and territories and 3,229 counties. License: other (us-government-work).
92
  - [Orbitwren: Orbital Compute & Space Data Center Tracker](https://huggingface.co/datasets/CyberMax-tools/orbitwren-orbital-compute-tracker): Every public orbital-compute and space data center project in one table: who is building it, what hardware is (or will be) in orbit, launch date, status, publicly stated funding, and a source link for every row. License: cc-by-4.0.
93
- - [CyberMax game asset samplers](https://huggingface.co/datasets/CyberMax-tools/game-assets-samplers): Original game assets generated by CyberMax's own code (no third-party art, no AI image models): pixel tiles, animated monsters, item icons, VFX, a 9-slice UI, Godot 4 shaders, low-poly glTF models, seamless retro textures, pixel fonts, top-down village tiles, a low-poly 3D dungeon kit, a vector… License: other (cybermax-game-asset-licence-1.0).
94
  - [Open Domain Ranks: full history](https://huggingface.co/datasets/CyberMax-tools/open-domain-ranks-full-history): ds = load_dataset("CyberMax-tools/open-domain-ranks-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Every past version of the free Open Domain Ranks dataset, one folder per date under history/<YYYY-MM-DD>/, with the same files and columns as the… License: other.
95
  - [Kevscope CVE + KEV + EPSS: full history](https://huggingface.co/datasets/CyberMax-tools/kevscope-cve-kev-epss-daily-full-history): ds = load_dataset("CyberMax-tools/kevscope-cve-kev-epss-daily-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->. License: other.
96
  - [Riskroll SEC 10-K/10-Q sections: full history](https://huggingface.co/datasets/CyberMax-tools/riskroll-sec-10k-10q-sections-full-history): ds = load_dataset("CyberMax-tools/riskroll-sec-10k-10q-sections-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->. License: cc0-1.0.
 
2
 
3
  > Machine-readable catalog of every live CyberMax capability: 22 pay-per-result API tools (callable as MCP tools or HTTP APIs, billed to the caller's own Apify account) and 35 free open datasets. Pick a tool by what it returns; every entry has JSON Schemas for input and output, pricing and copy-paste integration code.
4
 
5
+ How to call a tool: hosted MCP `https://mcp.apify.com/?tools=cybermax/<name>` (streamable HTTP, header `Authorization: Bearer <APIFY_TOKEN>`; several tools: comma-separate them), tool name `cybermax--<name>`; or HTTP `POST https://api.apify.com/v2/acts/cybermax~<name>/run-sync-get-dataset-items` with the input JSON. Structured catalog: https://cybermax-tools-cybermax.static.hf.space/market/catalog.json. Built 2026-10-29T04:42:22.498Z.
6
 
7
  ## Tools
8
  - [Gripeline](https://apify.com/cybermax/app-reviews): See what users complain about in any app.
 
90
  - [Recallroll: US vehicle safety recalls, last 12 months (NHTSA)](https://huggingface.co/datasets/CyberMax-tools/recallroll-vehicle-recalls): Every US safety recall campaign NHTSA received in the last 365 days (2025-09-25 to 2026-09-18): 958 campaigns with 43,450,237 vehicles and items potentially affected (manufacturer estimates), 50 of them in the last 30 days. License: other (us-government-work).
91
  - [Coffermap: federal contract and grant spending by state and county (FY2025)](https://huggingface.co/datasets/CyberMax-tools/coffermap-federal-spending-by-county): Federal obligations by place of performance for fiscal year 2025 (2024-10-01 to 2025-09-30): $744.0B in contracts and $1.23T in grants across 56 states and territories and 3,229 counties. License: other (us-government-work).
92
  - [Orbitwren: Orbital Compute & Space Data Center Tracker](https://huggingface.co/datasets/CyberMax-tools/orbitwren-orbital-compute-tracker): Every public orbital-compute and space data center project in one table: who is building it, what hardware is (or will be) in orbit, launch date, status, publicly stated funding, and a source link for every row. License: cc-by-4.0.
93
+ - [CyberMax game asset samplers](https://huggingface.co/datasets/CyberMax-tools/game-assets-samplers): ds = load_dataset("CyberMax-tools/game-assets-samplers", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Original game assets generated by CyberMax's own code (no third-party art, no AI image models): pixel tiles, animated monsters, item icons, VFX, a 9-slice… License: other (cybermax-game-asset-licence-1.0).
94
  - [Open Domain Ranks: full history](https://huggingface.co/datasets/CyberMax-tools/open-domain-ranks-full-history): ds = load_dataset("CyberMax-tools/open-domain-ranks-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Every past version of the free Open Domain Ranks dataset, one folder per date under history/<YYYY-MM-DD>/, with the same files and columns as the… License: other.
95
  - [Kevscope CVE + KEV + EPSS: full history](https://huggingface.co/datasets/CyberMax-tools/kevscope-cve-kev-epss-daily-full-history): ds = load_dataset("CyberMax-tools/kevscope-cve-kev-epss-daily-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->. License: other.
96
  - [Riskroll SEC 10-K/10-Q sections: full history](https://huggingface.co/datasets/CyberMax-tools/riskroll-sec-10k-10q-sections-full-history): ds = load_dataset("CyberMax-tools/riskroll-sec-10k-10q-sections-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->. License: cc0-1.0.
market/llms.txt CHANGED
@@ -2,7 +2,7 @@
2
 
3
  > Machine-readable catalog of every live CyberMax capability: 22 pay-per-result API tools (callable as MCP tools or HTTP APIs, billed to the caller's own Apify account) and 35 free open datasets. Pick a tool by what it returns; every entry has JSON Schemas for input and output, pricing and copy-paste integration code.
4
 
5
- How to call a tool: hosted MCP `https://mcp.apify.com/?tools=cybermax/<name>` (streamable HTTP, header `Authorization: Bearer <APIFY_TOKEN>`; several tools: comma-separate them), tool name `cybermax--<name>`; or HTTP `POST https://api.apify.com/v2/acts/cybermax~<name>/run-sync-get-dataset-items` with the input JSON. Structured catalog: https://cybermax-tools-cybermax.static.hf.space/market/catalog.json. Built 2026-10-26T08:31:24.662Z.
6
 
7
  ## Tools
8
  - [Gripeline: App Store Reviews & Google Play Reviews Scraper](https://cybermax-tools-cybermax.static.hf.space/market/tools/app-reviews.md): See what users complain about in any app. Price: $0.003 per app summary + $0.0001 per review. MCP tool `cybermax--app-reviews`.
@@ -90,7 +90,7 @@ How to call a tool: hosted MCP `https://mcp.apify.com/?tools=cybermax/<name>` (s
90
  - [Recallroll: US vehicle safety recalls, last 12 months (NHTSA)](https://huggingface.co/datasets/CyberMax-tools/recallroll-vehicle-recalls): Every US safety recall campaign NHTSA received in the last 365 days (2025-09-25 to 2026-09-18): 958 campaigns with 43,450,237 vehicles and items potentially affected (manufacturer estimates), 50 of them in the last 30 days. License: other (us-government-work).
91
  - [Coffermap: federal contract and grant spending by state and county (FY2025)](https://huggingface.co/datasets/CyberMax-tools/coffermap-federal-spending-by-county): Federal obligations by place of performance for fiscal year 2025 (2024-10-01 to 2025-09-30): $744.0B in contracts and $1.23T in grants across 56 states and territories and 3,229 counties. License: other (us-government-work).
92
  - [Orbitwren: Orbital Compute & Space Data Center Tracker](https://huggingface.co/datasets/CyberMax-tools/orbitwren-orbital-compute-tracker): Every public orbital-compute and space data center project in one table: who is building it, what hardware is (or will be) in orbit, launch date, status, publicly stated funding, and a source link for every row. License: cc-by-4.0.
93
- - [CyberMax game asset samplers](https://huggingface.co/datasets/CyberMax-tools/game-assets-samplers): Original game assets generated by CyberMax's own code (no third-party art, no AI image models): pixel tiles, animated monsters, item icons, VFX, a 9-slice UI, Godot 4 shaders, low-poly glTF models, seamless retro textures, pixel fonts, top-down village tiles, a low-poly 3D dungeon kit, a vector… License: other (cybermax-game-asset-licence-1.0).
94
  - [Open Domain Ranks: full history](https://huggingface.co/datasets/CyberMax-tools/open-domain-ranks-full-history): ds = load_dataset("CyberMax-tools/open-domain-ranks-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Every past version of the free Open Domain Ranks dataset, one folder per date under history/<YYYY-MM-DD>/, with the same files and columns as the… License: other.
95
  - [Kevscope CVE + KEV + EPSS: full history](https://huggingface.co/datasets/CyberMax-tools/kevscope-cve-kev-epss-daily-full-history): ds = load_dataset("CyberMax-tools/kevscope-cve-kev-epss-daily-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->. License: other.
96
  - [Riskroll SEC 10-K/10-Q sections: full history](https://huggingface.co/datasets/CyberMax-tools/riskroll-sec-10k-10q-sections-full-history): ds = load_dataset("CyberMax-tools/riskroll-sec-10k-10q-sections-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->. License: cc0-1.0.
 
2
 
3
  > Machine-readable catalog of every live CyberMax capability: 22 pay-per-result API tools (callable as MCP tools or HTTP APIs, billed to the caller's own Apify account) and 35 free open datasets. Pick a tool by what it returns; every entry has JSON Schemas for input and output, pricing and copy-paste integration code.
4
 
5
+ How to call a tool: hosted MCP `https://mcp.apify.com/?tools=cybermax/<name>` (streamable HTTP, header `Authorization: Bearer <APIFY_TOKEN>`; several tools: comma-separate them), tool name `cybermax--<name>`; or HTTP `POST https://api.apify.com/v2/acts/cybermax~<name>/run-sync-get-dataset-items` with the input JSON. Structured catalog: https://cybermax-tools-cybermax.static.hf.space/market/catalog.json. Built 2026-10-29T04:42:22.498Z.
6
 
7
  ## Tools
8
  - [Gripeline: App Store Reviews & Google Play Reviews Scraper](https://cybermax-tools-cybermax.static.hf.space/market/tools/app-reviews.md): See what users complain about in any app. Price: $0.003 per app summary + $0.0001 per review. MCP tool `cybermax--app-reviews`.
 
90
  - [Recallroll: US vehicle safety recalls, last 12 months (NHTSA)](https://huggingface.co/datasets/CyberMax-tools/recallroll-vehicle-recalls): Every US safety recall campaign NHTSA received in the last 365 days (2025-09-25 to 2026-09-18): 958 campaigns with 43,450,237 vehicles and items potentially affected (manufacturer estimates), 50 of them in the last 30 days. License: other (us-government-work).
91
  - [Coffermap: federal contract and grant spending by state and county (FY2025)](https://huggingface.co/datasets/CyberMax-tools/coffermap-federal-spending-by-county): Federal obligations by place of performance for fiscal year 2025 (2024-10-01 to 2025-09-30): $744.0B in contracts and $1.23T in grants across 56 states and territories and 3,229 counties. License: other (us-government-work).
92
  - [Orbitwren: Orbital Compute & Space Data Center Tracker](https://huggingface.co/datasets/CyberMax-tools/orbitwren-orbital-compute-tracker): Every public orbital-compute and space data center project in one table: who is building it, what hardware is (or will be) in orbit, launch date, status, publicly stated funding, and a source link for every row. License: cc-by-4.0.
93
+ - [CyberMax game asset samplers](https://huggingface.co/datasets/CyberMax-tools/game-assets-samplers): ds = load_dataset("CyberMax-tools/game-assets-samplers", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Original game assets generated by CyberMax's own code (no third-party art, no AI image models): pixel tiles, animated monsters, item icons, VFX, a 9-slice… License: other (cybermax-game-asset-licence-1.0).
94
  - [Open Domain Ranks: full history](https://huggingface.co/datasets/CyberMax-tools/open-domain-ranks-full-history): ds = load_dataset("CyberMax-tools/open-domain-ranks-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end --> Every past version of the free Open Domain Ranks dataset, one folder per date under history/<YYYY-MM-DD>/, with the same files and columns as the… License: other.
95
  - [Kevscope CVE + KEV + EPSS: full history](https://huggingface.co/datasets/CyberMax-tools/kevscope-cve-kev-epss-daily-full-history): ds = load_dataset("CyberMax-tools/kevscope-cve-kev-epss-daily-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->. License: other.
96
  - [Riskroll SEC 10-K/10-Q sections: full history](https://huggingface.co/datasets/CyberMax-tools/riskroll-sec-10k-10q-sections-full-history): ds = load_dataset("CyberMax-tools/riskroll-sec-10k-10q-sections-full-history", split="train") df = ds.to_pandas() print(df.shape) df.head() <!-- cybermax-use:end -->. License: cc0-1.0.