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Tabular Records Condition Coverage Map
x402
Tabular Records Condition Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035102/call, status unknown (last checked 2026-10-16).
Validates that each required row-validation condition has exactly one satisfied declaration in a tabular dataset, flagging unknown, contradictory, duplicate, or missing declarations.
Price / call$0.035102
Success—
StatusUnknown
How this service works
Check each required row-validation condition has exactly one satisfied declaration. Unknown, contradictory, duplicate or missing declarations do not establish valid cells or successful ingestion. Offline typed nonpersonal metadata only. Result retention: 24 hours; minimal receipt metadata: 90 days.
Output
Returns a condition coverage map showing whether each required row-validation condition has exactly one satisfied declaration; flags rows or conditions with unknown, contradictory, duplicate, or missing declarations, plus a minimal receipt with metadata retained for 90 days.
Example use cases
Pre-ingestion data quality gate
“Before I ingest this batch of synthetic public records, verify that all 8 required validation conditions are covered exactly once across my 16 row IDs and 32 checks — flag anything that's missing, contradictory, or declared more than once.”
Auditing duplicate declarations in ETL pipeline
“I'm seeing weird results in my ETL pipeline — can you run a condition coverage check on these 10 row IDs with 5 required checks using public data class to find out if any declarations are duplicated or conflicting?”
Validating compliance of synthetic dataset
“I need to confirm my synthetic dataset with 8 row IDs and 4 required checks has exactly one satisfied declaration per condition — mark any rows where declarations are missing or unknown so I can fix them before submission.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/tabular-records/condition-coverage-map?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to enforce that every required row-level validation condition in a tabular dataset is satisfied by exactly one declaration — especially before data ingestion pipelines where ambiguous, missing, or duplicate condition coverage would cause downstream failures. Best suited for synthetic or public (nonpersonal) tabular data with up to 16 row IDs and 32 checks.
Side effects
- Missing required 'nonpersonalMetadata: true' field causes rejection
- More than 32 checks or 16 row IDs exceeds schema limits and returns validation error
- dataClass values outside 'public' or 'synthetic' enum are rejected
- Contradictory or duplicate declarations result in failed coverage status rather than error
- Fewer than 1 check or row ID returns a schema validation error
- Personal data submitted despite nonpersonal constraint may be rejected or flagged
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| checks | array | |
| rowIds | array | |
| dataClass | string | |
| requiredChecks | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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