# Open Scholarly Evidence

> Open Scholarly Evidence is a paid API for AI agents from foundry-open-scholarly-evidence-mainnet.inference-chip-index.workers.dev, paid per call via x402, $0.012/call, status unknown (last checked 2026-09-14).

Compares a single DOI across Crossref and DataCite registries and returns attributed, open-metadata agreement evidence for that scholarly work.

## Facts

- Endpoint: POST https://foundry-open-scholarly-evidence-mainnet.inference-chip-index.workers.dev/v1/scholarly/evidence
- Price: $0.012/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/open-scholarly-evidence-ff00252e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pOCsSRXLATdLwKfdx1XlQ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability open-scholarly-evidence-ff00252e -d '<json body>'
```

Example prompt: Can you pull the open-metadata agreement evidence for DOI 10.1038/s41586-020-2649-2 and tell me how Crossref and DataCite compare on that record?

## When to prefer this

Choose this endpoint when you need open, attributed cross-registry metadata evidence for a specific scholarly DOI and want to see how Crossref and DataCite records compare in a single call. It is ideal for metadata auditing, citation verification, and open-access compliance checks where dual-registry agreement matters. Prefer alternatives if you only need a simple DOI resolution or full-text retrieval rather than cross-registry metadata comparison.

## Known failure modes

- DOI not found in either registry — returns empty or null evidence fields
- DOI found in only one registry — partial evidence with one side missing
- Malformed or too-short DOI string — validation error (minLength: 6)
- DOI exceeds maximum length of 512 characters — validation error
- Registry API unavailability — upstream timeout or error response
- Network or worker-side error — HTTP 5xx from the Cloudflare Worker

## How this service works

Compare one supplied DOI across Crossref and DataCite and return bounded, attributed open-metadata agreement evidence.

## Output

A structured comparison of the metadata for the supplied DOI as recorded in both Crossref and DataCite, including areas of agreement and discrepancy, attribution details, and bounded open-metadata evidence sourced from both registries.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "doi": {
   "type": "string",
   "maxLength": 512,
   "minLength": 6
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "caveats": [
   "Open metadata evidence only; not peer-review, identity, authorship, originality or legal verification.",
   "Source absence or disagreement must not be interpreted as fraud or invalidity."
  ],
  "matches": {
   "doi": true,
   "year": true,
   "title": true
  },
  "product": "open-scholarly-evidence",
  "sources": [
   {
    "doi": "10.5555/example",
    "type": "journal-article",
    "year": 2026,
    "title": "Evidence: A Study",
    "source": "crossref",
    "status": "FOUND"
   },
   {
    "doi": "10.5555/example",
    "type": "JournalArticle",
    "year": 2026,
    "title": "Evidence - A Study",
    "source": "datacite",
    "status": "FOUND"
   }
  ],
  "version": "1.0.0",
  "queriedDoi": "10.5555/example",
  "disposition": "CONFIRMED",
  "evidenceFingerprint": "0000000000000000000000000000000000000000000000000000000000000000"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/open-scholarly-evidence-ff00252e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from foundry-open-scholarly-evidence-mainnet.inference-chip-index.workers.dev](https://www.zero.xyz/host/foundry-open-scholarly-evidence-mainnet.inference-chip-index.workers.dev/llms.txt)