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Ephemeris Snapshots Missingness Co-occurrence
x402
Ephemeris Snapshots Missingness Co-occurrence is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020329/call, status unknown (last checked 2026-10-20).
Counts paired missing owner, revision, and content pins in ephemeris snapshot records, detecting co-occurring null combinations without treating missing as matching.
Price / call$0.020329
Success—
StatusUnknown
How this service works
Count paired missing owner, revision and content pins without silently treating a missing value as a matching value for target/centre/frame/time-scale/correction/kernel-pinned ephemeris Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns counts of co-occurring missing pin combinations across owner, revision, content, target, centre, frame, time-scale, correction, and kernel fields in the supplied ephemeris snapshot rows — identifying how often each pair of fields is simultaneously null, without treating absent values as matching values.
Example use cases
Audit ephemeris batch before ingestion
“I have 20 ephemeris snapshot records tagged as public data that I'm about to ingest — can you scan them and tell me which combinations of missing pins (like owner+revision or target+frame) appear together most often so I know what needs fixing?”
Validate synthetic ephemeris test fixtures
“These 10 synthetic ephemeris snapshot rows are test fixtures — can you check them for co-occurring missing metadata fields like missing correction and kernel pins at the same time, so I can catch gaps before publishing?”
Data quality report on celestial pipeline output
“My celestial data pipeline just produced 30 ephemeris snapshots marked as public — can you count all the paired-null combinations across owner, revision, content, target, centre, frame, time-scale, and correction pins so I can generate a data quality report?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/ephemeris-snapshots/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit supplied ephemeris snapshot records specifically for co-occurring missing metadata pins (owner, revision, content, target, centre, frame, time-scale, correction, kernel) and need accurate null detection that does not treat missing as matching. Best for pre-ingestion data quality checks, pipeline output validation, and multi-field missingness analysis on celestial ephemeris data — not for independent certification or recomputing ephemeris values.
Side effects
- More than 32 rows submitted — input array exceeds maxItems limit
- dataClass not set to 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not set to true — const constraint violation
- Empty rows array (minItems 1 not met)
- Malformed row objects not matching expected ephemeris snapshot structure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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