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Catalyst Measurements Provenance Edge Audit
x402
Catalyst Measurements Provenance Edge Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.045318/call, status unknown (last checked 2026-10-20).
Binds catalyst measurement rows to exact dataset, material, lot, method, source-revision, and content manifests to audit provenance linkage integrity.
Price / call$0.045318
Success—
StatusUnknown
How this service works
Bind measurement rows to exact dataset/material/lot/method/source-revision/content manifests; matching pins do not prove experimental Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns audit results indicating which measurement rows successfully bind to the declared dataset, material, lot, method, source-revision, and content manifest pins; flags mismatches or unmatched pins; notes that matching pins do not constitute independent experimental certification but confirm supplied-record provenance linkage.
Example use cases
Synthetic catalyst dataset provenance check
“I have 15 catalyst measurement rows and 3 source manifests I need to audit — can you check whether each row is properly bound to its dataset, lot, and method revision? The data is synthetic and contains no personal metadata.”
Material lot traceability audit
“We need to verify that our public catalyst measurement records are correctly pinned to their declared material lot and source revision — there are 8 measurement rows and 2 sources to cross-check.”
Content manifest alignment for regulatory review
“Before submitting, can you run a provenance edge audit on these 20 catalyst measurement rows against our 5 content manifests to confirm the dataset and method pins all align? Data class is public and there's no personal metadata.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/catalyst-measurements/provenance-edge-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to verify that catalyst measurement records are correctly bound to specific dataset, material lot, method, and source-revision manifests in a supplied-record audit context — particularly for synthetic or public data classes where personal metadata is absent. It is not a substitute for independent experimental certification but is appropriate for traceability and provenance linkage validation workflows.
Side effects
- Rows array empty or exceeds 32-item limit — request rejected
- Sources array empty or exceeds 32-item limit — request rejected
- dataClass value not in allowed enum ['public','synthetic'] — validation error
- nonpersonalMetadata not set to true — request rejected
- Partial pin matches returned when manifests are incomplete or revision identifiers are ambiguous
- Payment of 0.045318 USDC not settled — 402 response blocking execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| sources | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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