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Market Catalogues - Missingness Co-occurrence
x402
Market Catalogues - Missingness Co-occurrence is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020337/call, status unknown (last checked 2026-10-16).
Counts paired missing values across owner, revision, and content pins in merchant/catalogue/SKU/revision-pinned public product records, detecting co-occurring missingness without treating absent values as matching.
Price / call$0.020337
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 merchant/catalogue/SKU/revision-pinned public product Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns counts of paired missing pin occurrences across owner, revision, and content fields in the supplied catalogue rows, identifying which combinations of pins are co-absent without treating missing values as matching values. This is a supplied-record analysis, not independent certification.
Example use cases
Catalogue data quality audit
“I have a batch of 30 public product catalogue records from our merchant feed — can you run them through missingness co-occurrence analysis to find out which records are missing both owner and content pins at the same time?”
SKU revision pin gap detection
“Before we publish this catalogue update, check these 25 public SKU rows for any cases where both the revision pin and content pin are absent together — I don't want silently mismatched empty fields slipping through.”
Synthetic catalogue completeness check
“We generated 15 synthetic catalogue entries for testing — run a co-occurring missingness check on them to see how often owner, revision, and content pins are simultaneously missing across the records.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/market-catalogues/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to specifically identify and count co-occurring missing pin pairs (owner, revision, content) in market catalogue records, particularly where silent treatment of missing values as matching would corrupt downstream analysis. Prefer this over generic null-checking tools when working with merchant/catalogue/SKU-pinned product data structures and needing precise paired-absence statistics.
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 objects in array — parsing or schema error
- Payment not completed via x402 protocol — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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