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Ephemeris Snapshots - Unit-Label Consistency Audit
x402
Ephemeris Snapshots - Unit-Label Consistency Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012329/call, status unknown (last checked 2026-10-20).
Audits quantity and unit label consistency within a supplied ephemeris or celestial measurement frame, checking coordinate, clock, model, and calibration labels against each other.
Price / call$0.012329
Success—
StatusUnknown
How this service works
Audit quantity/unit labels in the exact supplied frame, including coordinate/clock or model/calibration Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns an audit report indicating whether the quantity and unit labels within the supplied ephemeris measurements are consistent, flagging any mismatches in coordinate, clock, model, or calibration labels. The analysis is scoped to the supplied frame and does not constitute independent certification.
Example use cases
Satellite ephemeris coordinate label check
“I have a batch of up to 30 satellite ephemeris records marked as public data — can you check them for any inconsistencies between coordinate labels and clock labels before I ingest them into my pipeline?”
Synthetic calibration data unit audit
“I generated some synthetic celestial calibration measurements and I need to verify that all the quantity and unit labels are internally consistent — can you run a unit-label audit on them?”
Pre-publication ephemeris label review
“Before we publish this ephemeris snapshot, can you audit the model and calibration unit labels across all 20 measurement entries to make sure nothing is mislabeled? They're all public, non-personal data.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/ephemeris-snapshots/unit-label-consistency?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit internal unit and quantity label consistency within a supplied ephemeris or celestial measurement frame — especially for coordinate, clock, model, or calibration labels. It is appropriate for public or synthetic data classes and is distinct from full certification services. Prefer it over general data validation tools when the domain is specifically ephemeris or celestial data and label-level consistency is the concern.
Side effects
- Invalid or unsupported dataClass enum value returns a validation error
- Supplying more than 32 measurements exceeds the maxItems limit and is rejected
- Missing or false nonpersonalMetadata const field causes request rejection
- Malformed measurements array structure results in a parse error
- Empty measurements array (below minItems of 1) is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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