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MPS Provenance-Contract Audit
x402
MPS Provenance-Contract Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.100002/call, status unknown (last checked 2026-10-17).
Audits caller-declared claim tags, exact excerpts, evidence-reference IDs, and action consistency in provenance contracts without making model calls or certifying factual truth.
Price / call$0.100002
Success—
StatusUnknown
How this service works
MPS provenance-contract audit: check caller-declared claim tags, exact excerpts, evidence-reference IDs and action consistency. CPU only; no model calls, source fetching, truth judgments or certification of VERIFIED labels. Public/synthetic nonpersonal input only; 32 KiB input, 65 KB output. Result retention: 24 hours; minimal receipt metadata: 90 days. No model calls or factual certification.
Output
A structured audit report (up to 65 KB) detailing findings on claim tag correctness, excerpt accuracy, evidence-reference ID alignment, and action consistency within the submitted provenance contract. Results are retained for 24 hours; minimal receipt metadata is kept for 90 days. No factual truth judgments or VERIFIED label certifications are issued.
Example use cases
Publishing pipeline claim tag audit
“I've got a set of provenance declarations for my publishing pipeline with claim tags and evidence-reference IDs — can you audit them to make sure the excerpts and actions are all consistent with each other? The data is public and non-personal.”
Research dataset provenance check
“Before I submit this research dataset record, I need to audit its provenance contract — specifically check that the claim tags, evidence-reference IDs, and cited excerpts all line up without contradictions. Everything is synthetic and non-personal.”
Automated agent action consistency review
“My autonomous agent produced a provenance contract with declared action tags and evidence references — can you run an audit to check whether the claim tags and action declarations are internally consistent, treating this as public non-personal data?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/legacy/mps-autonomous-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a pure structural and logical consistency audit of a provenance contract — checking claim tags, excerpts, evidence-reference IDs, and action declarations — without requiring model inference, source fetching, or factual certification. Ideal for automated pipelines that need lightweight, CPU-only provenance auditing on public or synthetic non-personal data within the 32 KiB input constraint.
Side effects
- Input exceeds 32 KiB limit — request rejected
- dataClass not set to 'public' or 'synthetic' — validation error
- nonpersonalMetadata not set to true — request rejected
- Malformed request object — schema validation failure
- Service unavailable — 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| request | object | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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