Card: precheck quick-start first
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README.md
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license: cc-by-4.0
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pretty_name: "ARC: can AI
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language:
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- en
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tags:
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data_files: latest/protocol_matrix.parquet
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#
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**Snapshot `2026-10-12`: 3,538 stores, checked 6 Oct 2026 to 12 Oct 2026.** The check finished for 3,497 of them (41 did not respond in time and are marked `not_tested`). Percentages below are of those 3,497.
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Mirror of the official ARC open dataset at [arcreport.ai/data](https://www.arcreport.ai/data), updated after each weekly snapshot (Mondays). Files are byte-for-byte copies of ARC's published CSV and Parquet.
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**Current snapshot:** `2026-10-12` (snapshot date 2026-10-12, generated 2026-10-12
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| Config / table | Rows | What it holds |
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|---|---|---|
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| `store_answers` | 3,538 | Start here. One row per store in plain words: can AI agents find products and get a checkout link, what blocks them, a one-sentence verdict, top fix, and whether the answer is from the automated HTTP check or also the browser cart test. |
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| `stores` | 89 | Latest completed ARC Index result per store (browser cart test: score, personas that carted, failure label). |
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| `rails_checks` | 3,538 | Latest HTTP agent check per store domain (UCP profile, WebMCP, storefront MCP, catalog tool, cart link, checkout WebMCP). |
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| `adoption_history` |
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| `personas` | 5 | The five ARC browser shopper personas (A to E) with legacy alias ids. |
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| `protocol_matrix` | 24 | Declared / Valid / Usable / Transacts counts per protocol with evidence labels. |
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- `2026-10-09.r2` (generated 2026-10-09 15:54 UTC, method arc-method-2026.10)
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- `2026-10-09.r3` (generated 2026-10-09 16:03 UTC, method arc-method-2026.10)
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- `2026-10-12` (generated 2026-10-12 13:34 UTC, method arc-method-2026.10)
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```bibtex
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@misc{
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year
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}
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```
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---
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license: cc-by-4.0
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pretty_name: "ARC: can AI agents reach checkout at these stores?"
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language:
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- en
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tags:
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data_files: latest/protocol_matrix.parquet
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---
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## Quick start: precheck (free, no sign-in, CC BY 4.0)
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Before your agent tries a store, ask ARC whether agents can reach checkout there:
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```bash
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curl "https://www.arcreport.ai/api/precheck?url=https://allbirds.com"
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```
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Real response (trimmed, 14 Oct 2026):
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```json
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{"host":"allbirds.com","known":true,"reachable_checkout":true,
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"rails":[{"name":"UCP","status":"valid"},{"name":"ACP","status":"not_found"},
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{"name":"MCP","status":"yes"},{"name":"Checkout WebMCP","status":"detected"}],
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"blockers":[],"confidence":"high","last_checked":"2026-10-13T09:47:13.000Z",
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"stale":true,"source":"ARC (arcreport.ai)","licence":"CC BY 4.0"}
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```
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`reachable_checkout` is based on ARC's last saved check. It does not mean an agent completed checkout. Check `last_checked` and `stale` before relying on it. Contact: arcreport@mail.grokbot.com (ARC).
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# 3,538 online stores checked: can AI agents reach checkout?
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**Snapshot `2026-10-12`: 3,538 stores, checked 6 Oct 2026 to 12 Oct 2026.** The check finished for 3,497 of them (41 did not respond in time and are marked `not_tested`). Percentages below are of those 3,497.
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Mirror of the official ARC open dataset at [arcreport.ai/data](https://www.arcreport.ai/data), updated after each weekly snapshot (Mondays). Files are byte-for-byte copies of ARC's published CSV and Parquet.
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**Current snapshot:** `2026-10-12.r2` (snapshot date 2026-10-12, generated 2026-10-12 20:37 UTC, method `arc-method-2026.10`, supersedes `2026-10-12`).
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| Config / table | Rows | What it holds |
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|---|---|---|
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| `store_answers` | 3,538 | Start here. One row per store in plain words: can AI agents find products and get a checkout link, what blocks them, a one-sentence verdict, top fix, and whether the answer is from the automated HTTP check or also the browser cart test. |
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| `stores` | 89 | Latest completed ARC Index result per store (browser cart test: score, personas that carted, failure label). |
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| `rails_checks` | 3,538 | Latest HTTP agent check per store domain (UCP profile, WebMCP, storefront MCP, catalog tool, cart link, checkout WebMCP). |
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| `adoption_history` | 32 | Weekly aggregate counts by source and metric (long format). |
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| `personas` | 5 | The five ARC browser shopper personas (A to E) with legacy alias ids. |
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| `protocol_matrix` | 24 | Declared / Valid / Usable / Transacts counts per protocol with evidence labels. |
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- `2026-10-09.r2` (generated 2026-10-09 15:54 UTC, method arc-method-2026.10)
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- `2026-10-09.r3` (generated 2026-10-09 16:03 UTC, method arc-method-2026.10)
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- `2026-10-12` (generated 2026-10-12 13:34 UTC, method arc-method-2026.10)
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- `2026-10-12.r2` (generated 2026-10-12 20:37 UTC, method arc-method-2026.10; adds `publishes_ucp_file`, `ucp_file_checked_at` to store_answers and `ucp_file` to rails_checks; adoption_history 29→32 rows)
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## Cite as
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**Cite as: ARC (arcreport.ai).** Please cite a dated version, not `latest/`.
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> ARC (arcreport.ai). *ARC Agent Commerce Index: can AI shopping agents buy from these stores?* Open dataset, snapshot 2026-10-12.r2, method arc-method-2026.10. CC-BY-4.0. https://www.arcreport.ai/data
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A machine-readable [`CITATION.cff`](https://www.arcreport.ai/CITATION.cff) is published with the data.
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```bibtex
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@misc{arc_agent_commerce_2026,
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author = {{ARC (arcreport.ai)}},
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title = {{ARC Agent Commerce Index: can AI shopping agents buy from these stores?}},
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year = {2026},
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version = {2026-10-12.r2},
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note = {Open dataset, method arc-method-2026.10. Licensed CC-BY-4.0},
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publisher = {ARC},
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url = {https://www.arcreport.ai/data},
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howpublished = {\url{https://huggingface.co/datasets/ArcReport/arc-agent-commerce}}
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}
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```
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When a Zenodo DOI exists, add `doi = {10.5281/zenodo.XXXXXXX}` to the entry.
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