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Maha Provenance Standard Claim Triage API
x402
Maha Provenance Standard Claim Triage API is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-14).
Automatically triages each substantive claim in a nonfiction passage, assigning a provenance status (VERIFIED, SOURCED, BOUNDARY, ILLUSTRATIVE, or UNVERIFIED) with a rationale and suggested action per claim.
Price / call$0.25
Success—
StatusUnknown
How this service works
Review a passage for Maha Principle epistemic classifications with a model-backed audit, not factual certification, legal advice, or human verification. Save the job reference and retrieve the completed result; job acceptance is not delivery. Short input excerpts may be retained in the result.
Output
Returns a structured audit result containing a per-claim breakdown where each claim receives a provenance status label (VERIFIED, SOURCED, BOUNDARY, ILLUSTRATIVE, or UNVERIFIED), a rationale explaining the classification, and a suggested editorial action. The response also includes an auditId, retrievalToken, inputHash, idempotency flag, warnings, and metadata confirming that the full passage was not stored but verbatim claim excerpts are retained.
Example use cases
Pre-publication claim audit for journalists
“Before we publish this investigative piece, can you triage every substantive claim in the draft using the Maha Provenance Standard and flag anything that comes back UNVERIFIED or BOUNDARY so the editor knows what still needs sourcing?”
Research summary verification for analysts
“I've written a 2-page research summary and I want to know which claims have solid provenance and which are just illustrative or unsupported — can you run a Maha provenance audit on it and give me the status and suggested action for each claim?”
Editorial QA for nonfiction book chapters
“We're reviewing a book chapter before it goes to the copy editor — can you audit all the factual claims using the Maha Provenance Standard and return the provenance status and rationale for each one so we can prioritize which assertions need further verification?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/mps/auditWhen to prefer
Choose this endpoint when you need automated, claim-level provenance triage of a nonfiction passage before publication or editorial review — especially when you want structured per-claim status labels (VERIFIED, SOURCED, BOUNDARY, ILLUSTRATIVE, UNVERIFIED) rather than a generic grammar or style check. Prefer this over general-purpose LLM fact-checking when you need a consistent, schema-driven audit trail with auditIds and retrievalTokens for downstream workflows.
Side effects
- Text exceeds 6000 character limit — request rejected with validation error
- Missing or invalid clientRequestId (must be 8–120 characters) — request rejected
- Malformed JSON body or wrong bodyType — API returns error
- Model processing failure — status returns as 'failed' with warnings
- Idempotent replay detected — same clientRequestId returns cached result without re-processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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