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Record Routing — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Record Routing — Exact Row Deduplication + 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 2026-10-24).
Deduplicates identical rows and fills missing values in accepted_records or rejected_records fields across up to 200 record routing rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + 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
Two analytical reports: (1) an exact row deduplication report identifying and removing identical rows from the supplied dataset, and (2) a missing-value fill report showing which accepted_records or rejected_records cells were null and what values were imputed using the chosen method (zero, mean, or median). No external lookups or predictions are made; all analysis is performed locally on the supplied rows.
Example use cases
Cleaning routing pipeline acceptance logs
“I have a batch of 120 record routing rows with accepted_records and rejected_records fields — some rows are duplicated and some values are null. Can you deduplicate the exact rows and fill in the missing accepted_records using median, and give me both the dedup and fill reports?”
Imputing missing rejections with zero fill
“My rejected_records column has several nulls in this 80-row routing dataset grouped by dataset_group and date. Please remove any exact duplicate rows and replace the missing rejected_records with zero, then show me the two reports.”
Pre-processing routing data before aggregation
“Before I aggregate my routing stats, I need these 200 rows cleaned — strip out exact duplicates and fill any missing accepted_records using the mean. Can you run both the deduplication and missing-value fill reports for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to clean a moderate-sized record routing dataset (up to 200 rows) by simultaneously removing exact duplicate rows and imputing missing numeric values in accepted_records or rejected_records, and you want both operations reported together in a single low-cost call. Prefer this over general-purpose data tools when working specifically with routing acceptance/rejection count data grouped by date and dataset_group.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds row limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- row_id missing or empty — required field error
- Field value outside allowed numeric range (±1,000,000,000,000) — validation failure
- Invalid fill method enum value — rejected at schema level
- Payment of 0.01 USDC not completed — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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