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Schema Conformity — Base-100 Series + Date by Category Pivot
x402
Schema Conformity — Base-100 Series + Date by Category Pivot 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).
Generates a Base-100 indexed time series and a date-by-category pivot table from supplied schema conformity records (valid_records, checked_records) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 analytical reports computed locally from the supplied data: (1) a Base-100 indexed time series for the selected metric field relative to the chosen base_index row, and (2) a date-by-category pivot table breaking the metric down by dataset_group across dates. No external lookups or predictions are included. Covers up to 200 input rows.
Example use cases
Data pipeline quality trend report
“I have daily schema conformity logs for three dataset groups across October — can you build a Base-100 indexed series and a date-by-category pivot for valid_records, anchoring the index to row 0? Here are up to 150 rows with row_id, dataset_group, date, valid_records, and checked_records.”
Checked records baseline comparison
“Can you take my schema validation data for the last 30 days and produce a Base-100 normalized series plus a pivot table breaking checked_records down by dataset group and date? I want to use row index 5 as the baseline and have about 80 rows.”
Weekly conformity audit by category
“I need two analytical reports from my schema conformity dataset — a Base-100 time series and a date-by-group pivot — covering valid_records for four dataset groups over the past two weeks, with row 0 as the base index and about 56 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a base-100 normalized time series AND a date-by-category pivot in a single low-cost call ($0.01 USDC) for schema conformity data (valid_records/checked_records) with up to 200 rows and no need for external data, live lookup, or predictive modeling. Ideal for data quality pipelines where you already have the conformity records locally and want fast, analytical summaries without spinning up your own analytics stack.
Side effects
- Missing required row fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors
- Exceeding 200 rows in the array returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- base_index out of range (≥ number of supplied rows) causes index error
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems:1 not satisfied) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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