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Scientific Dataset Records - Timestamp Order Audit
x402
Scientific Dataset Records - Timestamp Order Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.015338/call, status unknown (last checked 2026-10-16).
Validates temporal ordering of publication, amendment, and availability window instants against a single assessment timestamp for scientific dataset records.
Price / call$0.015338
Success—
StatusUnknown
How this service works
Compare supplied publication/amendment instants and an explicit half-open availability window against one assessment instant, in an identical issuer/record/source/revision Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns an audit result indicating whether the supplied publication instant, amendment instant, and half-open availability window are temporally consistent with the provided assessment instant for the matched dataset record — confirming correct ordering (publication before amendment, both within the availability window, relative to the assessment point) without independently certifying the data.
Example use cases
Dataset release timeline compliance check
“I need to verify that dataset 'climate-obs-2023', revision 'r4', was published on '2023-06-01T00:00:00Z', last amended on '2023-09-15T00:00:00Z', and that its availability window '2023-06-01T00:00:00Z' to '2024-06-01T00:00:00Z' all make logical temporal sense relative to my assessment instant of '2024-11-01T00:00:00Z' — data class is public.”
Amendment ordering audit for synthetic dataset
“Can you check that for dataset 'synth-protein-v5' in repository 'biodata-repo', the amendment instant '2024-05-20T00:00:00Z' comes after the publication instant '2024-02-01T00:00:00Z' and that both fall within the availability window '2024-02-01T00:00:00Z' to '2025-02-01T00:00:00Z', assessed at '2024-12-01T00:00:00Z'? Data class is synthetic.”
Multi-row dataset revision timestamp batch audit
“I have 10 dataset record rows from repository 'astro-survey-db' under schema 'obs-schema-v3' and manifest digest 'sha256:abc123' — can you audit all their timestamp orderings, checking publication, amendment, and availability windows against the assessment instant '2025-03-01T00:00:00Z' for revision '2024-Q4', public data class?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/scientific-dataset-records/timestamp-order-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically verify the temporal integrity of scientific dataset records — specifically that publication, amendment, and availability window timestamps are logically ordered against an assessment instant within a known issuer/record/source/revision context. Prefer this over general-purpose timestamp utilities when working with scientific dataset provenance metadata that includes half-open availability windows and explicit revision tracking.
Side effects
- Invalid or unparseable timestamp strings return a validation error
- Assessment instant falls outside the declared availability window — flagged as inconsistent
- Amendment instant precedes publication instant — returned as ordering violation
- Missing required fields such as assessedAt or datasetRef result in schema validation failure
- More than 32 rows submitted returns a maxItems constraint error
- dataClass value outside allowed enum returns a type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| scopeRef | string | |
| dataClass | string | |
| methodRef | string | |
| schemaRef | string | |
| assessedAt | string | |
| datasetRef | string | |
| repositoryRef | string | |
| manifestDigest | string | |
| datasetRevision | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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