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Record Routing — Keyed Dataset Comparison + Explicit Missing-Value Fill
x402
Record Routing — Keyed Dataset Comparison + 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 2026-10-23).
Compares two keyed record-routing datasets (accepted_records, rejected_records) across up to 200 rows and fills missing values, producing 2 analytical reports locally.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_records). 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 2 analytical reports: (1) a keyed dataset comparison showing differences between the primary and secondary routing datasets row by row, and (2) an explicit missing-value fill summary identifying and resolving null accepted_records or rejected_records values — all computed locally without external lookups.
Example use cases
Routing pipeline acceptance rate audit
“I have two snapshots of our record routing pipeline — one from last week and one from this week — each with up to 150 rows keyed by row_id, dataset_group, and date with accepted_records and rejected_records counts. Can you compare them side by side, fill in any nulls, and give me a report on where the numbers diverged, focusing on accepted_records?”
Detecting gaps in rejected record counts
“My ETL pipeline produces daily routing records across group-a and group-b with accepted and rejected counts, but some rows have missing rejected_records values. Can you take my two datasets — up to 80 rows each — compare them by key, and fill in those missing rejected_records values so I can see the full picture?”
Cross-group routing discrepancy report
“I need to compare my current routing dataset against a reference dataset for the same date range — about 200 rows split across multiple dataset groups — and find where the accepted_records numbers differ between the two. Can you run the keyed comparison and missing-value fill on both and show me the two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-190?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to locally compare two keyed record-routing datasets (with accepted and rejected record counts) across up to 200 rows, and also want explicit missing-value fill — all in a single $0.01 call that produces two independent reports. Prefer it over generic diff tools when your data is already structured with row_id, dataset_group, and date keys. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.
Side effects
- More than 200 rows submitted — request exceeds row limit and will be rejected
- Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside allowed range (±1,000,000,000,000) cause schema rejection
- Empty rows array (minItems:1 not met) returns an error
- field enum value not one of accepted_records or rejected_records causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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