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Dataset Partition Sizes — Duplicate Key Report + Date by Category Pivot
x402
Dataset Partition Sizes — Duplicate Key Report + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Analyzes up to 200 dataset partition size records to produce two analytical reports: a duplicate key report and a date-by-category pivot table for row_count or file_mb.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot 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 across the supplied partition records, and (2) a date-by-category pivot table cross-tabulating the chosen numeric field (row_count or file_mb) by date and dataset_group. Both reports are computed locally without external lookups.
Example use cases
Data warehouse partition audit
“I have a list of 150 dataset partitions with their row counts and file sizes — can you check for duplicate row IDs and also give me a pivot of row_count by date and dataset_group so I can spot any anomalies?”
Storage usage summary by team
“Here are the daily partition size records for our data platform, each tagged with a dataset_group and date — run the duplicate key report and pivot file_mb by date and category so I can see which groups are growing fastest.”
ETL pipeline data quality check
“After our nightly ETL run I have 80 partition size records I need to validate — can you flag any duplicate row IDs and show me a date-by-category breakdown of row_count to confirm everything looks consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-068?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key integrity check and a date-by-category pivot on dataset partition size records (row_count or file_mb) in a single low-cost call. It is ideal for data engineers auditing ETL outputs or partition metadata without needing a live database connection, external ML prediction, or professional assessment — just local analytical computation on supplied rows.
Side effects
- Input rows array is empty or missing — returns validation error
- row_id, dataset_group, or date fields missing from one or more rows — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected row or error
- More than 200 rows submitted — request rejected due to maxItems limit
- Invalid value for 'field' enum (must be row_count or file_mb) — validation error
- Payment of 0.01 USDC not included or invalid — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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