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Batchloom Citation Evidence for Agents
x402
Batchloom Citation Evidence for Agents is a paid API for AI agents from batchloom-studio-0913.xuikatwsicrdsidm.chatgpt.site, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Checks literal text quotes against live public web pages and returns cryptographic evidence (source hashes, character offsets) confirming whether the quotes appear verbatim in the fetched content.
Price / call$0.01
Success—
StatusUnknown
How this service works
Check literal quotes against public source pages. Evidence with source hashes and offsets, for 0.01 USDC on Base. Prepare requests, compare snapshots and connect a local MCP buyer.
Output
Returns a JSON object with per-source results containing: match status (matched/unmatched), start and end character offsets in Unicode code points, a surrounding text excerpt, the SHA-256 hash of the normalized page text, the final resolved URL after redirects, HTTP status code, content type, fetch timestamp, normalization profile identifier, whether JavaScript was executed, and a processing profile hash. Also includes usability flags, warnings about interpretation limits, and a version field.
Example use cases
Auditing LLM citation hallucinations
“I have a research report where the AI cited https://www.who.int/news/item/example-article and used this quote: 'Vaccination reduces transmission by up to 80% in clinical settings.' Can you verify that quote actually appears word-for-word on that page and give me the character offset and content hash?”
Legal document source verification
“Before we file this brief, I need to confirm that the phrase 'as defined under Section 12 of the Financial Services Act' appears literally on https://www.legislation.gov.uk/ukpga/2012/21/section/12 — can you check and return the hash of the page content as evidence?”
Journalist fact-checking a quote
“I'm publishing a story and want to verify that the CEO quote 'We will achieve net zero by 2035' actually appears on https://corporate.example-company.com/press-releases/2024-annual-report before we go to print — can you check and tell me exactly where in the text it appears?”
Technical details
Endpoint
POSThttps://batchloom-studio-0913.xuikatwsicrdsidm.chatgpt.site/v1/evidenceWhen to prefer
Choose this endpoint when you need cryptographic, auditable proof that a specific literal string appears in a public web page — especially for AI citation verification, fact-checking pipelines, or legal/compliance workflows where you need reproducible evidence (content hash + offset) rather than a fuzzy semantic match. Prefer it over general web scrapers when you need the normalized text hash and precise character offsets as tamper-evident artifacts. At $0.01 USDC per call on Base it is cost-effective for per-citation checks in automated agent pipelines.
Side effects
- URL host not in allowed hosts list — request rejected with host restriction error
- Quote shorter than 12 or longer than 400 characters — validation error
- More than 5 source URLs or 4 quotes per source — validation error
- Target page returns non-200 HTTP status — result marked unusable
- Page requires JavaScript rendering — content may be incomplete (javascriptExecuted: false)
- Robots.txt or access restrictions block fetch — host unavailable
- Quote present in page source but not in plain-text extraction — no match returned
- Network timeout fetching remote URL — result marked as error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| sources | array | |
| requireAllSources | boolean | When true, settlement requires every requested source to be readable. Does not require quotes to match. Original input and policy must be preserved for recovery. |
Output
Schema · Response
{
"type": "json",
"example": {
"results": [
{
"code": "evidence_computed",
"title": null,
"status": "ready",
"matches": [
{
"end": 63,
"start": 15,
"status": "matched",
"excerpt": "Example Domain This domain is for use in documentation examples without needing permission. Avoid use in operatio",
"matchCount": 1
}
],
"complete": true,
"coverage": "http-response-text-only",
"finalUrl": "https://example.com/",
"fetchedAt": "2026-09-13T00:00:00.000Z",
"httpStatus": 200,
"offsetUnit": "unicode-code-points",
"contentType": "text/plain",
"originalUrl": "https://example.com/",
"normalization": "nfc-whitespace-v1",
"javascriptExecuted": false,
"normalizedCodePoints": 116,
"normalizedTextSha256": "41f9801f460db5bc8c366921f3fa9511b61555c609de0297fa71d914e6f59772"
}
],
"version": "1",
"warnings": [
"Literal presence in fetched text is not a claim of truth, relevance, browser visibility or publication freshness.",
"Only fixed publisher hosts and static HTTP response text are supported; robots rules and access restrictions can make an allowed host unavailable.",
"Synthetic fixture: source text and timestamps are examples, not live observations."
],
"usableSources": 1,
"processingProfile": "433e247a66107e9e9e68b6569490c48bf3238735ab569825c1e36f7c2f497580",
"allResultsUnusable": false
}
}Tags
x402
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