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Schema Conformity Analytics — Weighted Mean & Keyed Dataset Comparison
x402
Schema Conformity Analytics — Weighted Mean & Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on schema conformity records (valid_records, checked_records) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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: (1) a secondary-measure weighted mean computed over the chosen field (valid_records or checked_records) across the submitted rows, and (2) a keyed dataset comparison between the primary and secondary datasets identifying matches, differences, and divergences by row_id. No external data is fetched; all computation is local.
Example use cases
Data pipeline quality benchmarking
“I'm running two ETL pipeline versions side by side and have conformity records for both — up to 150 rows each with valid_records and checked_records by date and group. Can you compute the weighted mean on checked_records and compare the two datasets keyed by row so I can see where they diverge?”
Weekly schema validation audit
“Here are this week's schema conformity logs for our data warehouse — 80 rows with valid_records and checked_records grouped by dataset_group and date. Give me the secondary-measure weighted mean for valid_records and a keyed comparison against last week's data so I can track quality trends.”
Multi-team data quality comparison
“I have conformity records from two different teams, each with around 100 rows covering valid_records and checked_records. Can you compute the weighted mean on valid_records and do a keyed dataset comparison between the two teams' data to surface discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity records with valid_records and checked_records fields and need both a weighted mean summary and a side-by-side keyed comparison of two datasets in a single low-cost call. Ideal for data quality monitoring pipelines, ETL validation audits, and comparing conformity across two time periods or teams without needing external lookups or predictions.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- Payment not included or insufficient — x402 payment required error
- null values in numeric fields may affect weighted mean calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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