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Orbital Records - Unit-Label Consistency Checker
x402
Orbital Records - Unit-Label Consistency Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012328/call, status unknown (last checked 2026-10-16).
Audits quantity and unit labels in supplied orbital/celestial measurement records for consistency, including coordinate, clock, model, and calibration fields.
Price / call$0.012328
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 a structured analysis of unit label consistency issues found within the supplied measurement records, flagging fields where unit labels are inconsistent, ambiguous, or mismatched — covering coordinate, clock, model, and calibration dimensions. This is a supplied-record analysis, not an independent certification.
Example use cases
Satellite telemetry unit audit
“I have 20 public orbital telemetry measurements from our satellite — can you check them for unit label consistency across all coordinate and clock fields before we archive them?”
Synthetic calibration data validation
“We generated 15 synthetic orbital calibration records for a model run — please audit the quantity and unit labels to make sure everything is consistent before we use them for training.”
Pre-submission unit label check
“I'm about to submit these 8 public orbital observation records to the registry — can you run a unit-label consistency check on them, especially the coordinate and timing fields?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/orbital-records/unit-label-consistency?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit unit and quantity label consistency within a batch of orbital, celestial, or space-measurement records (up to 32) that are either public or synthetic. It is specifically suited for coordinate, clock, model, and calibration field analysis. It does not perform independent certification, so use it as a pre-flight check or internal QA step rather than a compliance gate.
Side effects
- measurements array empty or exceeds 32 items — validation error
- nonpersonalMetadata not set to true — rejected
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- Malformed measurement objects — parsing error
- Payment not completed via x402 — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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