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Sky Observations - Missingness Co-occurrence
x402
Sky Observations - Missingness Co-occurrence is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020327/call, status unknown (last checked 2026-10-25).
Counts paired missing values across owner, revision, and content pins in sky frame/epoch/observer/method-pinned observation records, without treating missing as matching.
Price / call$0.020327
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 sky frame/epoch/observer/method-pinned Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns counts of paired co-occurring missing values across owner, revision, and content pins within the supplied sky observation rows, broken down by pin combination, without conflating absence with a matching value. This is a supplied-record analysis, not independent certification.
Example use cases
Audit observatory data completeness
“I have 20 sky observation rows from our telescope archive classified as synthetic — can you count how many records have paired missing values across the owner, revision, and content pins, without treating any blank as a valid match?”
Pre-publish quality check for celestial dataset
“Before we publish this batch of 15 sky observation records marked as public data, I need to know which pin combinations — like epoch and observer, or revision and content — are simultaneously absent across the records.”
Diagnose systematic missingness in epoch-framed data
“We suspect our data pipeline is dropping both revision and content pins together for certain sky frames — can you run a co-occurrence missingness check on these 10 synthetic sky observation rows to confirm the pattern?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/sky-observations/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to audit co-occurring missingness specifically across owner, revision, and content pins in sky observation records pinned by frame, epoch, observer, and method — and when it is critical that absent values are never silently treated as matching values. Prefer this over generic null-count tools when the domain is celestial/astronomical observation data and you need pair-level co-occurrence statistics rather than per-field counts.
Side effects
- rows array empty or exceeds 32-item limit — validation error returned
- nonpersonalMetadata not set to true — request rejected
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- malformed row structure — parsing error
- network timeout for large row batches
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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