Ephemeris Snapshots - Condition Coverage Map

x402

Ephemeris Snapshots - Condition Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035246/call, status unknown (last checked 2026-10-16).

Audits a bounded set of requested epoch ticks against supplied ephemeris export rows to produce a condition coverage map, flagging which ticks are covered or missing.

Price / call$0.035246

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StatusUnknown

How this service works

Audit a bounded requested epoch grid against supplied export-row Supplied-record analysis, not independent certification. Full contract at the free describe URL.

Output

Returns a condition coverage map indicating which of the requested epoch ticks are covered by the supplied export rows, and which are absent or uncovered, based on the provided dataset, coordinate frame, time scale, and revision parameters. Does not independently certify data — performs analysis against the caller-supplied records only.

Example use cases

Gap detection in planetary ephemeris export

“I have an ephemeris export for dataset 'mars-orbit-q1' with 20 rows and I need to check which of my 15 requested epoch ticks are actually covered — use the ICRF coordinate frame, TDB time scale, and mark it as public data.”

Snapshot revision audit for celestial data pipeline

“Audit snapshot revision 'rev-007' of my ephemeris dataset 'jpl-de440-subset' against 10 requested epoch ticks in the ecliptic coordinate frame with synthetic data class, and tell me which ticks are missing coverage.”

Condition coverage check before ephemeris ingestion

“Before I ingest my ephemeris data, can you validate condition coverage for dataset 'venus-2025' using kernel digest 'sha256-abc123', BCRS coordinate frame, UTC time scale, and public data class against the 25 epoch ticks I need?”

Technical details

Endpoint

POSThttps://www.mahastrategies.com/api/v1/celestial/ephemeris-snapshots/condition-coverage-map?utm_source=zero.xyz

When to prefer

Use this endpoint when you need to audit a bounded set of ephemeris epoch ticks against caller-supplied export rows to determine coverage completeness. Prefer this over generic data validation endpoints when working specifically with celestial ephemeris snapshots with coordinate frames, time scales, and kernel references. Not suitable for independent data certification or raw planetary data retrieval.

Side effects

requestedEpochTicks array is empty or exceeds 32 items — returns validation error
rows array exceeds 32 items — rejected with schema error
nonpersonalMetadata not set to true — request rejected
invalid or unrecognized coordinateFrameRef, timeScaleRef, or dataClass enum value — returns error
mismatched datasetRef or snapshotRevision causing no row matches — returns empty or all-missing coverage map
malformed kernelDigest string — may cause lookup failure

Input

Schema · Request body

Field	Type	Description
rows	array
centreRef	string
dataClass	string
targetRef	string
datasetRef	string
tickUnitRef	string
kernelDigest	string
timeScaleRef	string
correctionRef	string
epochOriginRef	string
snapshotRevision	string
coordinateFrameRef	string
nonpersonalMetadata	boolean
requestedEpochTicks	array

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