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Record Routing Exact Deduplication and Two-Measure Correlation Analyzer
x402
Record Routing Exact Deduplication and Two-Measure Correlation Analyzer 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).
Performs exact row deduplication and two-measure correlation analysis on record routing data (accepted_records and rejected_records) for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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 two analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows across the supplied dataset, and (2) a two-measure correlation report quantifying the statistical relationship between accepted_records and rejected_records values across up to 200 rows.
Example use cases
Routing pipeline data quality audit
“I need to check my record routing logs from last quarter for exact duplicate rows and also see how correlated the accepted_records and rejected_records numbers are across all my dataset groups. Can you run deduplication and correlation reports on the data I'm providing?”
Detecting anomalies in accept/reject ratios
“I have about 150 rows of daily routing records split across two dataset groups with accepted and rejected counts. Can you deduplicate the rows and then tell me how strongly the accepted_records and rejected_records metrics correlate with each other?”
Validating ETL output before downstream ingestion
“Before I push this routing data into our warehouse, can you check it for exact duplicate rows and compute the two-measure correlation between accepted_records and rejected_records so I know the data is clean and consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of record routing data with accepted and rejected record counts and need both exact duplicate row removal and a correlation analysis between those two measures in a single low-cost call. It is ideal for lightweight, offline data quality checks on routing pipeline outputs without requiring an external analytics platform or live data connection.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) — validation error
- Malformed date format (must match YYYY-MM-DD) — schema validation failure
- All rows are unique — deduplication report returns no duplicates found
- Single-row input — correlation computation may be undefined or trivial
- Null values in accepted_records or rejected_records — may reduce correlation sample size
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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