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Dataset Storage Analytics: Two-Measure Correlation + Date by Category Pivot
x402
Dataset Storage Analytics: Two-Measure Correlation + 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).
Computes a two-measure correlation report and a date-by-category pivot table for up to 200 dataset storage records containing used_mb and row_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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 independent analytical reports: (1) a two-measure correlation between used_mb and row_count across the supplied rows, and (2) a date-by-category pivot table showing the selected field (used_mb or row_count) broken down by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups or predictions.
Example use cases
Storage growth correlation analysis
“I have 50 storage records with used_mb and row_count for multiple dataset groups — can you run a correlation between used_mb and row_count and also pivot the data by date and dataset_group so I can see usage trends over time?”
Multi-group dataset audit
“Analyze these 120 dataset storage entries across groups like 'raw', 'processed', and 'archive' — give me both a correlation report between used_mb and row_count and a date-by-category pivot table so I can audit storage allocation per group over the past quarter.”
Engineering team storage reporting
“My team tracks dataset storage with row_id, date, used_mb, row_count, and dataset_group fields — can you produce a two-measure correlation and a date-by-category pivot for these 80 records so we can include them in our monthly data platform report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a correlation analysis and a date-by-category pivot on dataset storage records (used_mb, row_count) in a single low-cost call. It is ideal for agents managing data platform monitoring, storage audits, or BI reporting pipelines where the data is already available locally and no external data enrichment, prediction, or live lookup is needed. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for routine storage analytics.
Side effects
- More than 200 rows submitted — exceeds maximum item limit
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) in any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Invalid field enum value — only 'used_mb' or 'row_count' accepted
- All used_mb or row_count values are null — correlation cannot be computed
- Empty rows array — minItems:1 not satisfied
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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