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Schema Conformity — Record Quality Audit + Trailing Mean Series
x402
Schema Conformity — Record Quality Audit + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs two local analytical reports (record quality audit and trailing mean series) on schema conformity data (valid_records, checked_records) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series 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 record quality audit summarizing the quality and conformity characteristics of the submitted rows (valid_records, checked_records), and (2) a trailing mean series showing rolling averages of the selected field (valid_records or checked_records) over the specified window, computed entirely from the supplied data with no external lookups.
Example use cases
Data pipeline quality trend review
“I have 120 rows of daily schema conformity logs with valid_records and checked_records for two dataset groups. Can you run a record quality audit and a trailing mean series on valid_records using a 14-day window so I can see how our data quality is trending?”
Validation rate rolling average for reporting
“Run both the record quality audit and the trailing mean analysis on my checked_records data — I've got about 80 rows grouped by dataset group across the last quarter, and I want the rolling mean with a window of 5 to include in my weekly report.”
Spot-checking conformity issues across groups
“Can you audit the record quality and compute the trailing mean for my schema conformity data? I have 30 rows spanning two dataset groups and I want to analyze valid_records with a window size of 3 to spot any dips in conformity.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular schema conformity data (valid_records, checked_records) and need both a quality audit and a trailing mean time series in a single low-cost call ($0.01 USDC). Ideal for offline batch analysis of up to 200 rows without requiring external data lookups or predictions. Prefer over single-report endpoints when you need both report types simultaneously on the same dataset.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, date, valid_records, checked_records) — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Window size outside 2–200 range — rejected
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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