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Planetary Measurements – Identifier Crosswalk Audit
x402
Planetary Measurements – Identifier Crosswalk Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035256/call, status unknown (last checked 2026-10-16).
Validates one-to-one alias mappings against every typed pin in supplied planetary measurement records, flagging mismatches without asserting ownership or authenticity.
Price / call$0.035256
Success—
StatusUnknown
How this service works
Check one-to-one aliases against every typed pin; identifier mapping does not establish ownership, rights or authenticity for target/site/convention/time/method-pinned planetary Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
An audit report listing each row and mapping pair, indicating whether the alias correctly matches the typed pin, along with flags for any mismatches or inconsistencies found across the submitted planetary measurement records.
Example use cases
Celestial dataset alias reconciliation
“I have 20 rows of planetary measurement records and 20 corresponding identifier mappings I need to audit — the data is classified as public and non-personal. Can you run a crosswalk check to find any aliases that don't line up with their typed pins?”
Synthetic planetary data QA pipeline
“Before we publish this batch of 15 synthetic planetary measurement records, run an identifier crosswalk audit on the rows and their alias mappings to make sure every typed pin has a valid one-to-one alias match — mark it as synthetic and non-personal.”
Pre-ingestion identifier consistency check
“We're about to ingest 30 planetary measurement rows into our catalog. Can you validate that the 30 identifier mappings we prepared are correctly aliased to every typed pin in the data — it's public, non-personal metadata — and give me a report of any mismatches?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/planetary-measurements/identifier-crosswalk-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically verify that identifier aliases in planetary or celestial measurement records correctly map one-to-one to every typed pin, especially as a pre-ingestion or QA step in data pipelines handling public or synthetic astronomical datasets. It is not a certification or ownership authority — use it strictly for alias consistency auditing.
Side effects
- rows or mappings arrays exceed 32 items — request rejected
- mismatched array lengths between rows and mappings — validation error
- nonpersonalMetadata not set to true — request rejected
- dataClass not set to 'public' or 'synthetic' — enum validation error
- payment not provided or insufficient USDC — 402 response
- malformed row or mapping objects — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| mappings | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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