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Dataset Storage Analytics — Record Quality Audit, Exact Row Deduplication & Numeric Distribution
x402
Dataset Storage Analytics — Record Quality Audit, Exact Row Deduplication & Numeric Distribution 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).
Runs three local analytical reports (record quality audit, exact row deduplication, and numeric distribution) on up to 200 supplied dataset storage records containing used_mb and row_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied dataset storage records (used_mb, row_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging completeness, format, and validity issues; (2) an exact row deduplication report identifying identical records; and (3) a numeric distribution summary for the selected field (used_mb or row_count), all computed locally against the supplied dataset rows.
Example use cases
Storage log quality audit before migration
“I have 150 dataset storage records from last quarter with columns like row_id, dataset_group, date, used_mb, and row_count — can you run a record quality audit, find any exact duplicate rows, and show me the numeric distribution for used_mb?”
Deduplication check on ingested dataset records
“Before I load these 80 storage records into our data warehouse, can you check them for exact duplicate rows, flag any quality issues, and give me a distribution breakdown of the row_count field?”
Monthly storage usage distribution report
“I've got my monthly dataset storage logs — about 120 rows — can you audit them for data quality problems, deduplicate any identical rows, and generate a numeric distribution report on used_mb so I can see how storage is spread across groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset storage records and need all three analytical operations (quality audit, deduplication, and numeric distribution) in a single low-cost call. Ideal for pre-ingestion data validation, periodic storage log reviews, or lightweight ETL quality checks where no external lookups, predictions, or live data is needed.
Side effects
- Input exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null or extreme numeric values may affect distribution statistics
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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