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Schema Conformity — Numeric Distribution + Numeric Interval Filter
x402
Schema Conformity — Numeric Distribution + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Analyzes schema conformity records by computing a numeric distribution and applying a numeric interval filter on valid_records or checked_records fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Numeric distribution + Numeric interval filter: Numeric distribution + Numeric interval filter for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) a numeric distribution summary of the selected field (valid_records or checked_records) across the supplied rows, and (2) a filtered subset of rows where the selected field falls within the specified minimum–maximum interval, both computed locally without external lookups.
Example use cases
Data quality audit by record range
“I have 50 rows of schema conformity data with valid_records and checked_records. Can you compute the numeric distribution of valid_records and also show me only the rows where valid_records falls between 0 and 100? Here's my dataset: [row-1, pipeline-A, 2026-09-01, 80 valid, 100 checked], [row-2, pipeline-B, 2026-09-02, 15 valid, 200 checked], [row-3, pipeline-A, 2026-09-03, 300 valid, 350 checked].”
Monitoring conformity outliers by interval
“For my daily conformity monitoring, run a numeric distribution and interval filter on checked_records for these rows — set the interval minimum to 50 and maximum to 500. Rows: [chk-1, etl-group, 2026-08-10, 200 valid, 210 checked], [chk-2, etl-group, 2026-08-11, 30 valid, 40 checked], [chk-3, batch-group, 2026-08-12, 600 valid, 620 checked].”
Cross-group distribution comparison
“I want to compare distribution stats for valid_records across two dataset groups and filter to rows where valid_records is between 5 and 250. My rows are: [r1, group-alpha, 2026-07-01, 100 valid, 110 checked], [r2, group-beta, 2026-07-02, 3 valid, 50 checked], [r3, group-alpha, 2026-07-03, 200 valid, 205 checked], [r4, group-beta, 2026-07-04, 400 valid, 420 checked].”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-074?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity data (valid_records, checked_records) already in hand and need both a distribution summary and an interval filter in a single call for up to 200 rows. It is ideal for offline/batch data quality analysis where no live data fetch or external enrichment is needed, and where cost-efficiency ($0.01 for two reports) matters.
Side effects
- Missing required fields (row_id, date, dataset_group) cause validation errors
- Rows exceeding 200 items are rejected
- Date values not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- minimum greater than maximum may yield empty interval filter results
- Empty rows array (minItems:1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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