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Dataset Storage Analytics — Numeric Interval Filter + Base-100 Series
x402
Dataset Storage Analytics — Numeric Interval Filter + Base-100 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).
Filters dataset storage rows (used_mb or row_count) by a numeric interval and computes a base-100 index series for up to 200 supplied rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series for supplied dataset storage records (used_mb, row_count). 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 analytical reports: (1) rows filtered to the specified numeric interval for the chosen field (used_mb or row_count), and (2) a base-100 index series for those rows anchored at the specified base_index row, computed locally without external lookups.
Example use cases
Storage quota monitoring by group
“Here are my 120 dataset storage rows with used_mb values — filter out anything below 100 MB or above 5000 MB, and give me a base-100 index series starting from row 0 so I can track relative growth across my dataset groups.”
Row count trend normalization
“I've got 80 records tracking row_count across different dataset groups by date — can you filter the ones with row_count between 1000 and 50000, and index them to base 100 starting from row 2 so I can compare growth rates?”
Outlier removal before reporting
“Before I build my storage report, I need to strip out any rows where used_mb is outside 0 to 10000, and then get a base-100 series anchored at row 0 for the cleaned data — I have about 60 rows to process.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-128?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 dataset storage records and need both a numeric range filter and a base-100 normalization series computed together in a single call, especially for used_mb or row_count fields. Prefer it over general analytics tools when working within the dataset storage domain and when you need two bundled reports at low cost without any external data dependencies.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) in any row — validation error
- field value not in enum ['used_mb','row_count'] — schema error
- minimum greater than maximum — may return empty filter result
- base_index out of bounds for provided row count — error or unexpected output
- Null values in the selected numeric field may affect interval filtering and indexing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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