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Quantum Calibration Age Report
x402
Quantum Calibration Age Report is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.0249/call, status unknown (last checked 2026-10-15).
Calculates declared calibration ages at a specified assessment time, flagging records that are future-dated or exceed a caller-defined staleness threshold.
Price / call$0.0249
Success—
StatusUnknown
How this service works
Calculate declared calibration ages at a supplied assessment time, flagging future or stale records under a caller-specified threshold. No device-state or fidelity guarantee. Offline typed metadata only. Retained-result recovery: 24 hours; minimal receipt metadata: 90 days.
Output
Returns a report of calculated calibration ages for each supplied record as of the specified assessment time, with flags indicating which records are future-dated or exceed the caller-specified maximum age threshold in seconds. Results are available for retrieval for up to 24 hours; minimal receipt metadata is retained for 90 days. No device-state or fidelity guarantees are provided — this is typed metadata analysis only.
Example use cases
Lab calibration freshness audit
“I have 20 calibration records from our lab instruments — can you check them as of right now and flag any that are older than 3600 seconds or have future timestamps? Use the 'public' data class.”
Pre-experiment calibration validation
“Before we run the experiment tomorrow, check these 8 calibration entries as of 2025-07-01T09:00:00Z and tell me which ones are stale beyond 7200 seconds or incorrectly dated in the future — mark all as synthetic data.”
Compliance staleness report for audit
“Generate a calibration age report for these 30 records assessed at 2025-06-30T00:00:00Z, flagging anything exceeding 43200 seconds as stale, using the 'public' data class for our compliance review.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/quantum/calibration-age?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically audit declared calibration ages against a precise timestamp and a custom staleness threshold, especially for offline typed metadata without requiring live device state or fidelity data. Prefer this over general-purpose timestamp utilities when you need structured per-record flagging of future-dated or stale calibration entries in a single batch call of up to 32 records.
Side effects
- Missing or invalid assessedAt timestamp causes rejection
- calibrations array empty or exceeds 32 items returns validation error
- maximumAgeSeconds out of 0–1,000,000 range returns schema error
- nonpersonalMetadata not set to true causes request failure
- Invalid dataClass enum value returns bad request
- Malformed calibration record objects cause partial or full rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| dataClass | string | |
| assessedAt | string | |
| calibrations | array | |
| maximumAgeSeconds | integer | |
| nonpersonalMetadata | boolean |
Tags
x402
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