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Quantum Calibrations - Timestamp Order Audit
x402
Quantum Calibrations - Timestamp Order Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.015311/call, status unknown (last checked 2026-10-16).
Validates declared capture and valid-until timestamps in data records against a caller-supplied assessment time and maximum-age constraint.
Price / call$0.015311
Success—
StatusUnknown
How this service works
Evaluate declared capture/valid-until times against caller assessment and maximum-age Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns an audit result indicating whether each row's declared capture and valid-until timestamps are in the correct order relative to each other and within the caller-specified maximum age from the assessed-at time. Identifies records that fail ordering or age constraints without independently certifying the original data source.
Example use cases
Stale data detection in pipelines
“I have a batch of 20 public dataset rows and I want to make sure none of them are older than 7 days — can you run a timestamp audit against today's date and flag any that exceed 604800000 milliseconds?”
Capture-before-expiry order check
“Can you verify that the capture times all come before the valid-until times in these synthetic calibration records I'm about to publish? Assessed as of right now, no maximum age limit needed.”
Freshness gate for downstream processing
“Before I send these records to the downstream system, check if their timestamps are in the correct order and that none are older than 1 hour (3600000 ms) — they're public, non-personal metadata only.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/quantum-calibrations/timestamp-order-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit the internal temporal consistency of data records — specifically whether capture times precede valid-until times and whether records fall within a caller-defined freshness window. It is appropriate for non-personal, public or synthetic datasets only. Prefer this over general-purpose timestamp utilities when you need structured per-row audit results with maximum-age enforcement and an explicit assessed-at reference point.
Side effects
- rows array is empty or exceeds 32 items — returns validation error
- assessedAt timestamp is malformed or missing — returns parsing error
- maximumAgeMilliseconds exceeds 2678400000 — rejected with bounds error
- dataClass value not in allowed enum ['public','synthetic'] — schema rejection
- nonpersonalMetadata not set to true — request rejected as per contract requirement
- Network timeout — no partial results returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| assessedAt | string | |
| nonpersonalMetadata | boolean | |
| maximumAgeMilliseconds | integer |
Tags
x402
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