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Dataset Storage Analytics — Base-100 Series + Two-Measure Correlation
x402
Dataset Storage Analytics — Base-100 Series + 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 2026-10-19).
Computes a Base-100 indexed time series and a two-measure correlation report for supplied dataset storage records (used_mb, row_count) — up to 200 rows, two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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) a Base-100 indexed time series showing relative changes in the selected field (used_mb or row_count) normalized to 100 at the specified base_index row, and (2) a two-measure correlation report quantifying the statistical relationship between used_mb and row_count across the supplied rows. No external data is fetched; all computation is performed locally on the provided dataset.
Example use cases
Storage growth trend for data pipeline
“I have monthly storage readings for my data pipeline across two groups — can you index the used_mb values to base-100 starting from the first row and also show me how correlated storage usage is with row count? Here are 8 rows of date, group, used_mb, and row_count data.”
Comparing dataset groups by row count index
“Can you take my dataset records and produce a base-100 series indexed from row 0 using row_count as the field, and also give me the two-measure correlation between row_count and used_mb? I've got data for three groups across 20 dates.”
Baseline storage analytics for capacity planning
“I want to understand how my database storage has grown relative to a fixed baseline — please index my used_mb readings to 100 starting from the fifth entry and correlate that against row_count for the same period. I'll supply up to 50 rows of records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of dataset storage records (used_mb, row_count) and need both a base-100 normalized time series and a two-measure correlation in a single low-cost call ($0.01 USDC). It is ideal for local, offline analytics on supplied data without requiring external lookups or live data connections. Prefer this over general-purpose analytics tools when you specifically need indexed normalization relative to a chosen baseline row alongside a correlation between two storage metrics.
Side effects
- Fewer than 1 row provided — minimum 1 row required
- More than 200 rows submitted — maxItems limit exceeded
- Invalid date format (must match YYYY-MM-DD pattern)
- base_index out of range (0–199) relative to supplied rows
- Missing required fields (row_id, dataset_group, date) in any row object
- field enum value not one of 'used_mb' or 'row_count'
- Null values in used_mb or row_count may reduce correlation reliability
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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