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Schema Conformity Analytics: Category Frequencies + Trailing Mean Series
x402
Schema Conformity Analytics: Category Frequencies + 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).
Computes category-frequency distribution and a trailing moving-average series for schema conformity records (valid_records, checked_records) supplied by the caller — up to 200 rows, two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Category frequencies + Trailing mean series: Category frequencies + 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 category frequency table showing counts grouped by dataset_group, and (2) a trailing moving-average series for the chosen field (valid_records or checked_records) computed over the specified window size. Based on up to 200 supplied rows; no external data is fetched.
Example use cases
Daily data quality trend report
“I have 120 rows of daily schema conformity logs with valid_records and checked_records per dataset group. Can you compute the trailing mean series for valid_records using a window of 7 days, and also show me the frequency breakdown by dataset group?”
Comparing two field metrics across groups
“Here are 80 conformity records across three dataset groups. Run the category frequency report and trailing mean analysis on checked_records with a window of 3, so I can see which groups are checking the most records and how that trend looks over time.”
Weekly pipeline validation summary
“My data pipeline produces schema validation results each day — I have 30 rows for this week. Give me the group-level category frequencies and a trailing mean for valid_records with window 2 so I can spot any dips in conformity.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you already have schema conformity records in hand (valid_records, checked_records) and need two quick analytical outputs — a category frequency breakdown and a trailing mean time series — without any external lookups or predictions. It is ideal for lightweight, low-cost ($0.01 USDC for both reports) batch summarization of up to 200 rows of data-quality logs.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — rejected, maxItems constraint
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size outside 2–200 range — validation error
- Field value not in enum ['valid_records','checked_records'] — validation error
- Null numeric values in all rows for selected field — may produce empty or degenerate series
- Missing required row fields (row_id, dataset_group, date) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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