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Data Reconciliation — Grouped Numeric Summary + Explicit Missing-Value Fill
x402
Data Reconciliation — Grouped Numeric Summary + Explicit Missing-Value Fill 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 grouped numeric summaries and fills missing values (zero, mean, or median) for source/target reconciliation data across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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 grouped numeric summary of the specified field (source_total or target_total) broken down by dataset_group, and (2) a record of explicit missing-value fills using the chosen method (zero, mean, or median). Covers up to 200 input rows and uses only local analytical computation — no external lookups or predictions.
Example use cases
ETL pipeline data quality check
“I've got 120 rows from our nightly ETL run with source_total and target_total by dataset group — several source_total values are missing. Can you give me a grouped numeric summary and fill those nulls using mean imputation?”
Monthly financial reconciliation review
“Here are 80 reconciliation records across three dataset groups for October 2026, with some null target_total entries. Run a grouped summary on target_total and fill the missing values using median, so I can review the two reports side by side.”
Data audit before stakeholder report
“Before I send this reconciliation data to stakeholders, I need a grouped numeric summary of source_total across all dataset groups and I want any missing values replaced with zero — it's 45 rows total, can you generate those two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-099?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured reconciliation data with source and target numeric totals grouped by category and need both a grouped statistical summary and explicit missing-value imputation in a single low-cost call. It is ideal for ETL validation, financial data audits, or data quality pipelines where you want two complementary reports (summary + fill) without hitting an external database or prediction service. Prefer it over general-purpose analytics tools when your dataset fits within 200 rows and you want a deterministic, reproducible result using median, mean, or zero fill.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- source_total or target_total outside the allowed range (-1e12 to 1e12) — rejected
- Invalid method enum value (anything other than zero, mean, median) causes error
- Invalid field enum value (anything other than source_total, target_total) causes error
- Empty rows array (minItems: 1 violated) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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