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Ephemeris Snapshots - Required Field Coverage
x402
Ephemeris Snapshots - Required Field Coverage is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010155/call, status unknown (last checked 2026-10-20).
Checks which required fields are present or missing in supplied ephemeris snapshot records (target, centre, frame, time-scale, correction, kernel pins, etc.) without independently certifying their validity.
Price / call$0.010155
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 target/centre/frame/time-scale/correction/kernel-pinned ephemeris Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a per-row (and/or aggregate) analysis indicating which required fields are present and which are null or missing across the submitted ephemeris snapshot records. Does not certify validity of field values — only confirms presence or absence.
Example use cases
Pre-processing completeness audit
“Before I run my orbital simulation pipeline, check these 20 synthetic ephemeris snapshot rows and flag any that are missing the required fields: target, frame, time-scale, and kernel pin.”
Data ingestion validation for public ephemeris
“I'm ingesting a batch of 15 public ephemeris records — can you verify which of the required fields (centre, correction, revision, time-scale) are absent so I can reject incomplete rows before storing them?”
Required-field gap report for scientific dataset review
“I have 8 ephemeris snapshot entries from a synthetic dataset and need to know exactly which required fields are null or missing across all of them — specifically checking target, frame, kernel, and correction coverage.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/ephemeris-snapshots/required-field-coverage?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, fast check for field presence/absence in ephemeris snapshot records — specifically when you do not need independent value certification, only coverage analysis. Prefer this over full validation pipelines when dealing with up to 32 public or synthetic ephemeris rows and needing a rapid gap report on scientific dataset fields like target, centre, frame, time-scale, correction, or kernel pins.
Side effects
- Missing or empty 'rows' array returns a validation error
- 'requiredFields' array outside 1–8 items rejected
- 'rows' array exceeding 32 items rejected
- 'nonpersonalMetadata' not set to true causes rejection
- Invalid 'dataClass' value (not 'public' or 'synthetic') returns enum error
- Malformed row objects may result in incomplete analysis or error response
- Payment failure (x402) blocks the request entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| requiredFields | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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