hlido-eu/agent-benchmark

configs: - config_name: default data_files: - path: run-log.json split: train

language: - en license: cc-by-nc-4.0 tags: - ai-agents - benchmark - evaluation - agent-evaluation - llm-agents - trustworthy-ai - product-review - c2pa pretty_name: Hlido AI Agent Benchmark size_categories: - n<1K task_categories: - other

Hlido AI Agent Benchmark

Independent, cryptographically-attested evaluations of AI agents and products.

Hlido reviews AI agents the way Rotten Tomatoes reviews films — independent verdicts with proof, one clear score, and no sponsored rankings. This dataset is the machine-readable output of those reviews.

Every run is:

• Executed autonomously by the Hlido testing pipeline
• Cryptographically signed using C2PA (Coalition for Content Provenance and Authenticity)
• Scored using Hlido's proprietary two-layer evaluation model

Website: hlido.eu
Methodology: hlido.eu/methodology
Updated: Daily (automated pipeline)

© 2026 Hlido. The Laddoo Score, scoring methodology, tier system, and evaluation framework are proprietary. See licence and terms below.

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What's in this dataset

run-log.json — the full review ledger. Each entry is one Hlido pipeline run.

Schema

Field	Type	Description
runId	string	Unique run identifier
domain	string	Domain tested (e.g. getbaton.dev)
url	string	Entry URL used for the review
startedAt	ISO 8601	When the pipeline run began
finishedAt	ISO 8601	When the pipeline run completed
score	number | null	Engine surface score (0–100). Null if run incomplete.
tier	string | null	Engine tier label
laddooScore	number | null	Hlido Laddoo Score (0–100) — final composite score
laddooTier	string | null	VITAL / STEADY / FADING / FLATLINE
pagesVisited	array	Each page crawled: url, type, blocked
blockersHit	array	Blockers encountered: type, action taken, confidence
claimsTested	number	Number of marketing claims evaluated
claimsVerified	number	Claims that held up under testing
errors	number	Pipeline errors during run
c2paSigned	boolean	Whether artifacts were C2PA-signed
t1Confidence	string	High / Medium / Low — proportion of product surface testable
testTier	string	Tier 1 UI Auto / Tier 2 Guided Manual / Tier 3 Custom
loggedAt	ISO 8601	When the record was written
note	string	Notes on blockers, anomalies, or methodology context

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Scoring Overview

Hlido uses a proprietary two-layer scoring model. Full methodology is published at hlido.eu/methodology.

Layer 1 — Engine Score

Automated measurement of the public web surface across six dimensions: product clarity, feature depth, trust signals, claim verification, user experience, and pricing transparency.

The engine score reflects what an independent observer can verify from the public surface without login or payment.

Layer 2 — Hlido Laddoo Score

Hlido's independent editorial assessment of the product across four dimensions:

• Strategic Alpha — Does it solve a real problem in a differentiated way?
• Craft & Soul — Is the overall product experience excellent?
• Execution Grit — Does the product deliver on its core promise?
• Value Signal — Is pricing fair and transparent relative to its category?

The exact weights and blending formula are proprietary and not disclosed in this dataset.

Laddoo tiers: VITAL (90–100) · STEADY (70–89) · FADING (40–69) · FLATLINE (0–39)

Login Walls and Tier Confidence

A product behind a login wall is not automatically scored lower on product quality. The engine score reflects what could be verified publicly; the editorial Laddoo Score assesses the product on its own merits. All reviews carry a confidence label (T1 High / Medium / Low) and a note on how much of the surface was testable.

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Evidence & Attestation

Each reviewed agent has a corresponding proof bundle (stored privately at Hlido):

• Screen recording of the review session (MP4)
• Timestamped screenshots of key moments (PNG)
• attestation.json — structured metadata: domain, claims tested, blockers, scores
• All artifacts C2PA-signed (PS256, DigiCert timestamp authority)

C2PA signing means the video and screenshots carry a cryptographically verifiable chain of custody — provably captured by Hlido, provably unmodified. Proof bundles are available to reviewed agents on request.

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How to use this dataset

import json, urllib.request

url = "https://huggingface.co/datasets/hlido-eu/agent-benchmark/resolve/main/run-log.json"
with urllib.request.urlopen(url) as r:
    data = json.load(r)

runs = data["runs"]

# Filter to scored runs only
scored = [r for r in runs if r.get("laddooScore") is not None]

# Sort by Laddoo Score
top = sorted(scored, key=lambda x: x["laddooScore"], reverse=True)
for r in top[:10]:
    print(f"{r['domain']:30} {r['laddooScore']:3}/100  {r.get('laddooTier','')}")

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Licence & Terms

This dataset is released under CC BY-NC 4.0.

You may:

• Use and share the data for non-commercial research, journalism, and personal projects with attribution
• Cite Hlido in academic papers and public analysis

You may not:

• Use this data to build a competing AI agent evaluation or scoring product
• Reproduce, replicate, or adapt the Hlido scoring methodology, Laddoo Score formula, or tier system in any commercial product
• Represent Hlido scores as your own without clear attribution
• Train commercial models on this data without written permission

For commercial licensing, API access, or bulk data: hlido.eu

Attribution: "Hlido AI Agent Benchmark, hlido.eu"

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Citation

@misc{hlido2026benchmark,
  title   = {Hlido AI Agent Benchmark},
  author  = {Hlido},
  year    = {2026},
  url     = {https://huggingface.co/datasets/hlido-eu/agent-benchmark},
  note    = {Independent, cryptographically-attested AI agent evaluations. Laddoo Score and methodology are proprietary. Updated daily.}
}

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Contact

hlido.eu — submit an agent for review, request a T2 deep evaluation, or enquire about commercial data licensing.