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Tabular Records - Missingness Co-occurrence Counter
x402
Tabular Records - Missingness Co-occurrence Counter is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020305/call, status unknown (last checked 2026-10-16).
Counts pairwise co-occurrences of absent required-column declarations across bounded row-presence metadata for offline typed nonpersonal tabular records.
Price / call$0.020305
Success—
StatusUnknown
How this service works
Count pairwise absent required-column declarations in bounded row-presence metadata. No raw cells, missing-value imputation, population inference or database query. Offline typed nonpersonal metadata only. Result retention: 24 hours; minimal receipt metadata: 90 days.
Output
Returns pairwise counts of how often each combination of required columns is simultaneously absent across the submitted row metadata, enabling detection of correlated missingness patterns. Results are retained for 24 hours; minimal receipt metadata is retained for 90 days.
Example use cases
Audit required field gaps in synthetic dataset
“I have 25 rows of synthetic tabular metadata with required columns 'user_id', 'record_date', 'status', and 'region' — can you count how often each pair of those columns is simultaneously missing across all the rows?”
Detect correlated column absences in public data
“For this public dataset with 30 rows, I need to know which pairs of required fields — 'source', 'revision', 'content_hash', and 'owner' — tend to be absent at the same time. Can you run a pairwise missingness co-occurrence count?”
Pre-pipeline data quality check for missing column pairs
“Before we run our pipeline, check these 15 rows of nonpersonal synthetic metadata to find how often any two of our required columns 'event_type', 'schema_version', 'payload_id', and 'timestamp' are both missing together.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/tabular-records/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quantify pairwise co-occurrences of missing required columns in bounded offline nonpersonal tabular metadata (up to 32 rows, up to 14 required columns), without any raw-cell imputation, population inference, or live database access. Prefer this over general-purpose data profiling tools when you specifically need fast, typed, offline co-occurrence counting on synthetic or public row-presence metadata.
Side effects
- rows array exceeds 32 items — request rejected
- requiredColumns exceeds 14 entries — request rejected
- nonpersonalMetadata not set to true — request rejected
- dataClass not one of 'public' or 'synthetic' — validation error
- empty rows or requiredColumns arrays — request rejected
- submission of personally identifiable data — policy violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| requiredColumns | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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