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Data Reconciliation — Daily Sum Series + Two-Measure Correlation
x402
Data Reconciliation — Daily Sum Series + Two-Measure Correlation 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 a daily sum time series and a two-measure correlation analysis for supplied source_total and target_total reconciliation data, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 daily sum time series aggregating source_total and/or target_total by date and dataset group, and (2) a two-measure correlation analysis quantifying the statistical relationship between source_total and target_total across the supplied rows. Both reports are computed locally with no external lookups or predictions, covering up to 200 input rows.
Example use cases
Finance team source vs target reconciliation
“I've got 120 rows of daily finance reconciliation records across two dataset groups — 'accounts-payable' and 'accounts-receivable' — each with a source_total and target_total from Q3 2026. Can you compute the daily sum series and the correlation between source and target totals so I can see where they diverge?”
ETL pipeline data quality check
“After our ETL run last week I have 80 daily rows comparing source_total from our data warehouse and target_total from our reporting system, grouped as 'pipeline-prod'. Run a daily sum aggregation and a two-measure correlation on those so I can confirm the pipeline is producing consistent numbers.”
Multi-group revenue reconciliation audit
“I need to reconcile revenue figures for three dataset groups — 'region-north', 'region-south', and 'region-east' — covering 150 daily rows from November 2026. Please generate the daily sum series and a correlation report between the source_total and target_total columns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of daily reconciliation records (up to 200 rows) with paired source and target numeric totals and need both a time-aggregated daily sum series and a statistical correlation between the two measures in a single low-cost call. Prefer it over general analytics platforms when you want a lightweight, pay-per-use solution without setting up infrastructure, and when you need two complementary reconciliation reports (aggregation + correlation) together rather than separately.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, source_total, target_total) cause validation errors
- Dates not in YYYY-MM-DD format fail pattern validation
- Numeric values outside the ±1,000,000,000,000 range are rejected
- Insufficient variation in data may produce degenerate or undefined correlation results
- All-null source_total or target_total columns prevent meaningful aggregation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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