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Data Ingestion Batches — Two-Measure Correlation + Keyed Dataset Comparison
x402
Data Ingestion Batches — Two-Measure Correlation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes Pearson/rank correlation between received_rows and accepted_rows, and compares two keyed data ingestion batch datasets, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison for supplied data ingestion batches records (received_rows, accepted_rows). 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: (1) a two-measure correlation report quantifying the statistical relationship between received_rows and accepted_rows across the supplied rows, and (2) a keyed dataset comparison report highlighting differences between the primary and secondary datasets matched by row_id. Both reports are computed locally with no external lookups.
Example use cases
ETL pipeline acceptance rate correlation
“I have daily data ingestion batch records with received_rows and accepted_rows for two dataset groups over the past week — can you run the two-measure correlation analysis to see how strongly those two metrics move together?”
Comparing two ingestion pipeline snapshots
“I ran my data ingestion pipeline twice with slightly different configs and captured both result sets by row_id and date. Can you do a keyed dataset comparison between the two batches to show me where received_rows or accepted_rows differ?”
QA check on batch ingestion data quality
“Before I sign off on this month's ingestion reports, can you compute the correlation between received_rows and accepted_rows across all my dataset groups and also compare this month's batch against last month's keyed records to flag any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a two-measure Pearson/rank correlation between received_rows and accepted_rows AND a keyed comparison of two ingestion batch datasets in a single $0.01 call. It is purpose-built for data ingestion pipeline QA, ETL audit, and batch acceptance-rate analysis on up to 200 rows. Prefer this over general-purpose analytics APIs when your data is already structured with row_id, dataset_group, date, received_rows, and accepted_rows fields and you do not need live external data, predictions, or professional assessments.
Side effects
- Submitting more than 200 rows results in a validation error
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause row-level rejection
- Date values not matching YYYY-MM-DD format fail schema validation
- Null values in received_rows or accepted_rows may reduce correlation sample size
- Mismatched row_ids between primary and secondary datasets result in unmatched keys in comparison report
- Submitting fewer than 2 rows may produce degenerate or undefined correlation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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