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Data Reconciliation Analytics: Base-100 Series + Equal-Width Histogram
x402
Data Reconciliation Analytics: Base-100 Series + Equal-Width Histogram 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).
Generates two analytical reports — a base-100 indexed series and an equal-width histogram — for supplied data reconciliation records comparing source_total vs target_total values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Base-100 series + Equal-width histogram: Base-100 series + Equal-width histogram 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 analytical reports: (1) a base-100 index series showing each row's selected field value normalized relative to the base index row, and (2) an equal-width histogram dividing the selected field's range into the specified number of bins with frequency counts — both computed locally from the supplied reconciliation records.
Example use cases
ETL pipeline source-target drift analysis
“I have 150 rows of ETL reconciliation data with source_total and target_total values by date and group — can you generate a base-100 series anchored to the first row and a 10-bin histogram on the source_total so I can see where drift is concentrated?”
Financial month-end reconciliation distribution
“Run a base-100 series starting from index 0 and an equal-width histogram with 5 bins on the target_total for these 80 month-end reconciliation records — I want to understand the distribution of target values relative to our baseline.”
Data warehouse validation pattern review
“I've got 200 rows from our data warehouse validation comparing source and target totals across multiple dataset groups — generate both a base-100 indexed series and a 15-bin histogram on the source_total field so I can spot patterns in the discrepancies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-163?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary analytical views — temporal normalization via base-100 indexing AND frequency distribution via histogram — on reconciliation data in a single call. It is ideal for data quality workflows where you want to inspect both the trend of source or target totals relative to a baseline row and the overall spread/distribution of values. Prefer it over single-report endpoints when you need both reports at once for up to 200 rows without making external lookups or predictions.
Side effects
- Fewer than 1 row or more than 200 rows submitted — validation error
- base_index references a row index that doesn't exist in the provided rows array
- source_total or target_total values outside ±1,000,000,000,000 — validation error
- Malformed date strings not matching YYYY-MM-DD pattern
- Missing required row fields (row_id, dataset_group, date) causing row rejection
- base_index row has a null value for the selected field, breaking base-100 normalization
- All values null for selected field, making histogram impossible
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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