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Dataset Storage Analytics — Two-Measure Correlation + Keyed Dataset Comparison
x402
Dataset Storage Analytics — Two-Measure Correlation + Keyed Dataset Comparison 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).
Computes two-measure correlation (used_mb vs row_count) and performs keyed dataset comparison between two supplied dataset storage record sets, returning two analytical reports for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 two-measure correlation result quantifying the statistical relationship between used_mb and row_count across the primary dataset rows, and (2) a keyed dataset comparison report matching rows by row_id between the primary and secondary datasets to surface differences in used_mb and row_count values.
Example use cases
Storage growth correlation analysis
“I have 60 rows of dataset storage metrics with used_mb and row_count per day — can you compute the correlation between storage size and row count to see if they grow together?”
Before-after dataset snapshot comparison
“Compare my dataset storage records from before and after the migration — here are both sets keyed by row_id, up to 50 rows each — and tell me what changed between them.”
Multi-group storage pattern check
“I've got dataset storage logs across group-a and group-b with used_mb and row_count. Run a correlation between the two measures and a keyed comparison between my two exports so I can see which rows diverged.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a correlation statistic between two numeric storage measures (used_mb and row_count) and a row-keyed diff between two dataset snapshots in a single paid call. It is ideal for offline/batch analysis of up to 200 storage records per dataset where no live lookup, external enrichment, or prediction is needed. It is more cost-effective than calling separate correlation and comparison endpoints when both reports are needed simultaneously.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Fewer than 1 row in primary dataset — minimum not met
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure
- Payment not completed via x402 — 402 response, no analysis returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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