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Schema Conformity Analytics — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Schema Conformity Analytics — Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Computes numeric row ordering and secondary-measure weighted mean across up to 200 schema conformity records (valid_records, checked_records), producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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: (1) a numeric row ordering of the supplied rows ranked by the selected field, and (2) a secondary-measure weighted mean calculation across all rows — both derived locally from the submitted schema conformity data without external lookups.
Example use cases
Daily data pipeline quality check
“I have 150 rows of schema conformity data from today's ETL run with valid_records and checked_records per dataset group and date — can you run the numeric row ordering and weighted mean reports on the valid_records field so I can see which rows rank highest and what the weighted average looks like?”
Comparing checked records across groups
“Take these 50 schema conformity records across two dataset groups and run the row ordering plus weighted mean analytics on the checked_records field — I need both reports to understand distribution and ranking.”
Weekly conformity trend analysis
“Here are 200 rows of weekly schema conformity results with valid_records and checked_records — run the numeric row ordering and secondary-measure weighted mean analysis on valid_records and give me the two reports so I can spot outliers and averages.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ordering and a weighted mean computation on schema conformity data (valid_records, checked_records) in a single low-cost call. Ideal for data quality pipelines where you want two complementary statistical views — ranked ordering and weighted average — without building custom analytics. Suited for batches up to 200 rows processed offline without external lookups or predictions.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- field selector not one of 'valid_records' or 'checked_records' causes enum validation error
- Null values in numeric fields may affect weighted mean calculation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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