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Dataset Storage Analytics — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Dataset Storage Analytics — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 dataset storage rows containing used_mb and row_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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
Three structured analytical reports: (1) a record quality audit flagging completeness, formatting, and validity issues per row; (2) a string normalisation report identifying and standardising inconsistencies in string fields like dataset_group; (3) a daily sum series aggregating the selected numeric field (used_mb or row_count) by date. All computed locally with no external lookups.
Example use cases
Storage usage daily rollup
“I have 120 rows of daily storage snapshots with used_mb and dataset_group fields — can you run the daily sum series report on used_mb so I can see total consumption per day?”
Dataset group name normalisation check
“My dataset records have a dataset_group column that might have inconsistent capitalization or whitespace — can you run the string normalisation report on these 80 rows so I can clean them up?”
Record completeness quality audit
“Before I load these 150 dataset storage rows into our warehouse, can you run a record quality audit on them to flag any missing row_ids, nulls in row_count, or malformed dates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical reports (quality audit, string normalisation, and daily sum series) on dataset storage records in a single $0.01 call, without requiring any external data lookups or live predictions. Ideal for pre-ingestion data validation and summarization of storage metrics up to 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Field selector not one of 'used_mb' or 'row_count' — enum validation error
- Empty rows array — minimum items constraint violation
- Payment of 0.01 USDC not included — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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