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Schema Conformity Analytics — Daily Sum Series + Trailing Mean Series
x402
Schema Conformity Analytics — Daily Sum Series + 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 2026-10-18).
Computes both a daily sum series and a trailing moving-average series for schema conformity metrics (valid_records and checked_records) from up to 200 supplied rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Daily sum series + Trailing mean series: Daily sum series + 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 daily sum series aggregating the chosen field (valid_records or checked_records) by date across all supplied rows, and (2) a trailing moving-average series computed over the specified window size. Both reports are derived entirely from the supplied input data with no external lookups or predictions.
Example use cases
Daily data quality trend report
“I have 90 rows of schema conformity data with dates, dataset groups, valid_records and checked_records — can you compute both the daily sum totals and a 7-day trailing moving average for valid_records so I can see the quality trend over time?”
Rolling average for checked records monitoring
“Run a daily sum series and a trailing mean series with a window of 14 on my checked_records field — I'm supplying 200 rows of conformity records with row IDs, dates, and dataset groups.”
Two-report conformity analytics for pipeline audit
“I need two analytics reports on my dataset conformity logs: daily sums and a 5-day rolling mean for the checked_records metric. There are about 60 rows covering the last two months — can you crunch both at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily aggregation and a smoothed rolling-average view of schema conformity data (valid_records or checked_records) in a single low-cost call. It is ideal when you have pre-collected conformity records (up to 200 rows) and want two complementary time-series perspectives without any external data fetches, predictions, or professional assessments. Prefer it over single-series endpoints when you want to save a round-trip by getting both the raw daily totals and the trend-smoothed series together.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, date, valid_records, checked_records) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- Window size outside allowed range (2–200) — parameter rejection
- Field value not one of the allowed enum values (valid_records, checked_records) — error
- Null values in numeric fields may affect aggregation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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