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Data Reconciliation — Daily Sum Series + Base-100 Series
x402
Data Reconciliation — Daily Sum Series + 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).
Generates two analytical reports (daily sum time series and base-100 indexed series) from supplied source/target reconciliation data, up to 200 rows, for $0.01 USDC.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Daily sum series + Base-100 series: Daily sum series + 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
Two independent analytical reports computed locally from your supplied data: (1) a daily sum time series aggregating source_total or target_total by date, and (2) a base-100 indexed series normalizing values relative to a chosen base row, covering up to 200 input rows.
Example use cases
Monthly finance reconciliation trend analysis
“I have 60 rows of monthly finance reconciliation data with source and target totals by department group — can you generate the daily sum series and a base-100 indexed series for the source_total field, starting the index at row 0, so I can see how totals trend and compare relative growth?”
Detecting source-target drift over a quarter
“Here are 90 reconciliation records covering Q1 with dates, row IDs, dataset groups, and both source_total and target_total values — please run the daily sum series and base-100 series on target_total rebased to index 0 so I can spot where the source and target start to diverge.”
Dataset group performance benchmarking
“I've got 120 reconciliation rows split across four dataset groups with daily source and target totals — generate both the daily sum series and the base-100 series reports for the source_total field using base index 0 so I can benchmark each group's performance relative to the starting point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-138?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary time-series views — a daily aggregate sum and a normalized base-100 index — from reconciliation data you already have locally (source_total and target_total), without needing external lookups or predictions. It's ideal for batch reconciliation analysis at very low cost ($0.01 for both reports). Prefer it over single-report endpoints when you need both raw daily sums and relative indexed trends in one call.
Side effects
- More than 200 rows submitted — request rejected, reduce to 200 or fewer rows
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values exceed ±1,000,000,000,000 — out-of-range error
- base_index references a row index that doesn't exist — index out of bounds error
- Payment of 0.01 USDC not completed via x402 — payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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