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Data Reconciliation Analytics — Daily Sum Series + Equal-Width Histogram
x402
Data Reconciliation Analytics — Daily Sum 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 daily sum time series and an equal-width histogram) over supplied source/target reconciliation data, using local computation on up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Daily sum series + Equal-width histogram: Daily sum 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 independent analytical reports: (1) a daily sum time series aggregating the selected field (source_total or target_total) by date, and (2) an equal-width histogram with configurable bin count (1–30, default 5) showing the value distribution — all computed locally from the supplied rows with no external lookups.
Example use cases
Financial pipeline reconciliation summary
“I have daily source and target totals from our ETL pipeline for October — can you generate a daily sum series and a 10-bin histogram over the source_total field so I can see how values are distributed and trending? Here are the rows: [row-1, finance-team, 2026-10-01, source=5000, target=4950], [row-2, finance-team, 2026-10-02, source=7200, target=7100].”
Detecting skew in target totals
“Run a histogram with 8 equal-width bins on the target_total field across these 20 reconciliation records spanning November 2026 — I want to see if the target values are skewed or evenly spread across groups A and B.”
Daily aggregation audit for data ops
“We need to audit our daily ingestion pipeline — can you generate a daily sum series for source_total across these 150 reconciliation rows covering the last quarter, grouped by dataset_group, so we can spot any days where totals look anomalous?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-139?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of source/target reconciliation data and need both a daily time series summary and a histogram distribution report in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical review of reconciliation outputs without needing a live database, external lookup, or prediction service. Prefer it over general-purpose analytics when you want two bundled reports (time series + histogram) specifically tailored to reconciliation (source_total vs target_total) fields.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- bins value outside 1–30 range causes schema validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes rejection
- null values in source_total or target_total may affect aggregation results
- Payment of 0.01 USDC not provided — endpoint returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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