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Data Reconciliation — Category Frequencies + Base-100 Series
x402
Data Reconciliation — 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 2026-10-19).
Computes category frequency distributions and a base-100 indexed series for up to 200 data reconciliation rows comparing source_total vs target_total values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Category frequencies + Base-100 series: Category frequencies + Base-100 series for supplied data reconciliation records (source_total, target_total). 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) category frequency counts showing how often each dataset_group appears in the supplied rows, and (2) a base-100 indexed series for the selected field (source_total or target_total) normalized relative to the specified base_index row — all computed locally with no external lookups.
Example use cases
ETL pipeline reconciliation audit
“I've got 50 reconciliation records from my ETL pipeline with source_total and target_total for each row across groups 'prod' and 'staging' — run a category frequency count and a base-100 index on the source_total starting from row 0.”
Financial close discrepancy analysis
“Here are 120 rows of month-end source and target totals grouped by business unit and date — give me a category frequency breakdown and index the target_total values to a base of 100 starting at row 0 so I can see relative drift.”
Data migration validation summary
“I'm validating a data migration and have 80 rows with source_total and target_total across three dataset groups — can you run the category frequencies and base-100 series on the source_total field, starting the index at position 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary offline analytical views — category frequency counts and a base-100 normalized series — computed over a batch of up to 200 reconciliation records without any external data access. It is particularly well-suited for ETL validation, financial close reconciliation, or data migration audits where you want to understand group distributions and relative value drift from a baseline row in a single $0.01 call.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) causes validation error
- Invalid date format (not YYYY-MM-DD) fails schema validation
- base_index out of range (>=number of rows) causes indexing error
- null values in the selected field may affect base-100 computation
- row_id or dataset_group exceeds 80 character limit fails validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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