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Sky Observations - Required Field Coverage Check
x402
Sky Observations - Required Field Coverage Check is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010151/call, status unknown (last checked 2026-10-25).
Validates that specified required fields are present (non-null) across a batch of sky observation records within a defined data class frame.
Price / call$0.010151
Success—
StatusUnknown
How this service works
Check presence of required scientific dataset/method/revision/content pins; null is missing, not an invalid credential or artifact for sky frame/epoch/observer/method-pinned Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns per-row coverage status indicating which required fields are null or missing in each submitted sky observation record, helping identify incomplete records without certifying data accuracy or credentials.
Example use cases
Audit public sky observation batch
“I have 20 sky observation rows from our public archive — can you check all of them to make sure the fields 'epoch', 'observer', and 'sky_frame' are not null or missing in any of them?”
Validate synthetic dataset before pipeline
“Before I run these 15 synthetic sky observation records through the analysis pipeline, verify that the required fields 'method', 'content_pin', and 'revision' are all present and non-null across every row.”
QA check on field coverage for new submissions
“We just received 8 new public sky observation submissions — can you run a required-field coverage check on them for the fields 'observer', 'epoch', and 'artifact_id' and tell me which records are incomplete?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/sky-observations/required-field-coverage?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically verify that a batch of sky observation records contains all caller-specified required fields before downstream processing, and when records are strictly non-personal (nonpersonalMetadata must be true). Prefer this over manual inspection or generic schema validators when working specifically with sky/celestial observation data in public or synthetic data classes up to 32 rows at a time.
Side effects
- rows array is empty or exceeds 32 items — returns validation error
- requiredFields array is empty or exceeds 8 items — returns validation error
- nonpersonalMetadata is not explicitly set to true — request rejected
- dataClass not one of 'public' or 'synthetic' — enum validation error
- malformed row objects that don't match expected structure — partial or full error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| requiredFields | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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