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Schema Conformity Analytics — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Schema Conformity Analytics — Numeric Interval Filter + 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 2026-10-10).
Filters schema conformity records by a numeric interval on a chosen field and computes a weighted mean of a secondary measure across up to 200 rows, delivering two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + 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
Returns two independent analytical reports: one covering the interval-filtered subset of schema conformity rows (filtered by the chosen field's min/max range), and one providing the weighted mean of the secondary measure (valid_records or checked_records) across the filtered data. Up to 200 rows are processed per call.
Example use cases
Data pipeline quality audit
“I have daily schema conformity logs across two dataset groups from October 2026 — can you filter where valid_records is between 10 and 30, then compute the weighted mean of checked_records and give me two summary reports?”
Threshold-based conformity review
“Here are 150 rows of schema conformity data — I want to see only the records where checked_records falls between 1 and 5, and then get the weighted mean of valid_records for those rows, with two separate analytical breakdowns.”
Group-level data quality benchmarking
“I'm comparing two dataset groups for data quality — can you filter my conformity records where valid_records is between 15 and 100 and compute the weighted mean of checked_records so I can benchmark across the groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity records (valid_records, checked_records) and need both a numeric interval filter and a weighted mean computation in a single call. It is purpose-built for data quality analytics on conformity datasets and delivers two reports per call at low cost. Prefer it over general analytics APIs when your data fits the schema conformity domain and you need aggregated statistical output without external lookups or predictions.
Side effects
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- More than 200 rows submitted triggers a row-count rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Minimum greater than maximum may produce empty filtered result set
- Null values in the measure fields may be excluded or cause weighted mean to be undefined
- Field enum value outside 'valid_records'/'checked_records' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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