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Schema Conformity Analytics: Category Frequencies + Base-100 Series
x402
Schema Conformity Analytics: Category Frequencies + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes category-frequency distributions and base-100 index series for schema conformity records (valid_records, checked_records) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Category frequencies + Base-100 series: Category frequencies + Base-100 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
Two analytical reports: (1) a category frequency table showing how often each dataset_group appears and the distribution of the selected field's values, and (2) a base-100 index series showing relative changes in the selected field (valid_records or checked_records) normalized to the specified base row. Both computed locally from the supplied data with no external lookups.
Example use cases
Data quality trend monitoring
“Here are 90 days of schema conformity logs across three dataset groups — compute category frequencies and a base-100 series on checked_records starting from row index 0, so I can see how validation volume has trended relative to the baseline.”
Comparing conformity across dataset groups
“I have 60 rows of conformity records for four dataset groups and I want to see how often each group appears (category frequencies) plus a base-100 index for valid_records starting at index 0 — can you run both reports?”
Baseline-indexed validity reporting
“Take these 120 schema conformity records and give me a base-100 index series for valid_records anchored at row 5, along with the category frequency breakdown by dataset_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity record data (valid_records, checked_records) already on hand and need two complementary analytical views — category frequency distributions and a normalized base-100 trend series — computed in a single low-cost call. Ideal for data quality monitoring workflows where you want both group-level summaries and temporal indexing without needing external lookups or predictions.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- base_index out of range (>= number of rows supplied) — index error
- Null values in valid_records or checked_records may affect index calculation
- Missing required fields (row_id, dataset_group, date) cause item-level rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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