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Schema Conformity — Numeric Interval Filter + Date by Category Pivot
x402
Schema Conformity — Numeric Interval Filter + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Filters schema conformity rows by a numeric interval on valid_records or checked_records, then pivots dates by dataset_group category — two analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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
Two independent analytical reports returned together: (1) a subset of the input rows where the chosen numeric field (valid_records or checked_records) falls within the specified [minimum, maximum] interval, and (2) a pivot table of dates cross-tabulated by dataset_group category — both computed locally from the supplied data with no external lookups.
Example use cases
Audit passing records within quality threshold
“I have 120 schema conformity records with valid_records and checked_records columns — can you filter down to only the rows where valid_records is between 50 and 10000, and also show me a date-by-category pivot so I can see which dataset_group has activity on which dates?”
Identify low checked_records groups by date
“For my data quality batch, run an interval filter on checked_records between 0 and 100 and then pivot the dates by dataset_group — I want to see both the filtered set and the category-date breakdown in one shot. I'll send you the rows with row_id, dataset_group, date, valid_records, and checked_records.”
Compare dataset groups across conformity window
“Take these 80 schema conformity rows and give me two reports: filter them to where valid_records falls between 200 and 5000, and cross-tabulate dates against each dataset_group so I can compare conformity activity across groups over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric range filter and a date-by-category pivot on schema conformity data (valid_records, checked_records) in a single cheap call. It is ideal for data quality pipelines where you want to isolate records within acceptable bounds and simultaneously see temporal category breakdowns. Prefer it over general-purpose analytics tools when your data is already structured with row_id, dataset_group, date, valid_records, and checked_records fields and you want two focused reports without external computation.
Side effects
- Input rows array is empty or exceeds 200 items — request rejected
- minimum value greater than maximum value — invalid interval, likely returns empty filter result or error
- Required row fields (row_id, date, dataset_group, valid_records, checked_records) missing or malformed — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- numeric fields out of allowed range (±1 trillion) — rejected by schema
- Payment of 0.01 USDC not completed via x402 protocol — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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