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Dataset Partition Sizes — Duplicate Key Report + Two-Measure Correlation
x402
Dataset Partition Sizes — Duplicate Key Report + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Analyzes up to 200 dataset partition size records to produce a duplicate key report and a two-measure correlation analysis between row_count and file_mb.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Duplicate key report + Two-measure correlation: Duplicate key report + Two-measure correlation for supplied dataset partition sizes records (row_count, file_mb). 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 independent analytical reports: (1) a duplicate key report identifying any repeated row_id values within the submitted partition records, and (2) a two-measure correlation analysis quantifying the statistical relationship between the row_count and file_mb fields across the supplied rows. No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Duplicate key audit for ETL pipeline
“I need to audit my ETL pipeline's partition records to see if any row IDs are duplicated across dataset groups. Here are up to 200 rows with row_id, dataset_group, date, row_count, and file_mb — can you run a duplicate key report on them?”
Correlation between file size and row count
“Can you check whether the file size in MB is correlated with the number of rows in my dataset partitions? I'll supply the records with row_count and file_mb for each partition across groups alpha and beta, dated from 2026-01-01 to 2026-03-31.”
Data quality check before warehouse load
“Before I load these partition records into the warehouse, can you flag any duplicate row IDs and also tell me how strongly file_mb and row_count are correlated? I have 120 records across three dataset groups spanning the last quarter.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-066?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and a two-measure correlation analysis on dataset partition size records (row_count, file_mb) in a single low-cost call. It is ideal for data engineers auditing partition metadata quality before pipeline loads, and for analysts wanting a quick correlation check between file size and row count without writing custom code. It handles up to 200 rows per call and requires no external dependencies.
Side effects
- Input rows array is empty or missing — validation error returned
- More than 200 rows submitted — request rejected due to row limit
- row_id or dataset_group fields missing or empty — schema validation failure
- date field does not match YYYY-MM-DD format — pattern validation error
- row_count or file_mb values exceed allowed numeric range — validation error
- Insufficient numeric data to compute correlation (e.g. all null values) — correlation report may return null or undefined result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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