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Source Packs Missingness Co-occurrence
x402
Source Packs Missingness Co-occurrence is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020298/call, status unknown (last checked 2026-10-15).
Counts joint absences of source digest, observation time, and byte-count declarations across a batch of source metadata records, without imputing or judging completeness.
Price / call$0.020298
Success—
StatusUnknown
How this service works
Count joint absence of source digest, observation time and byte-count declarations. Zero-byte sources stay supplied; no imputation or completeness verdict. Offline typed nonpersonal metadata only. Result retention: 24 hours; minimal receipt metadata: 90 days.
Output
Returns counts of joint absences across the three source declaration fields (digest, observation time, byte-count) for each co-occurrence combination present in the submitted source pack records. Zero-byte sources are included as supplied. No imputation, completeness verdicts, or joined cell data is returned. Results are retained for 24 hours; minimal receipt metadata is retained for 90 days.
Example use cases
Scientific dataset source audit
“I have 20 source pack entries from our public dataset and I want to know how often digest and observation time are both missing at the same time — can you run a missingness co-occurrence check on them with nonpersonal metadata only?”
Synthetic data pipeline quality check
“Before we process these synthetic source records, check how frequently byte-count and source digest are jointly absent across all 30 entries so we know where our pipeline has correlated gaps.”
Data governance metadata review
“For these public source packs, count how many records simultaneously lack an observation time and a byte-count declaration — I need the joint absence counts to report to our governance team.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/context/source-packs/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand which source-level metadata fields are jointly absent in a batch of source pack records, specifically the triad of digest, observation time, and byte-count. It is ideal for offline, nonpersonal, typed metadata audits where you want co-occurrence statistics without any imputation, repair, or completeness judgment. Prefer it over generic data quality tools when your use case is specifically about correlated missingness patterns in source provenance metadata rather than value-level validation or schema enforcement.
Side effects
- Empty or malformed sources array returns a validation error
- Providing more than 32 source records exceeds the maxItems limit and is rejected
- Omitting or setting nonpersonalMetadata to false fails schema validation (must be true)
- Supplying a dataClass value outside 'public' or 'synthetic' causes a schema rejection
- Network timeout if the batch is at the upper limit and server load is high
- 402 Payment Required if USDC payment is not properly attached via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| sources | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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