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Document Approvals — Numeric Row Ordering + Two-Measure Correlation
x402
Document Approvals — Numeric Row Ordering + 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 2026-10-25).
Computes numeric row ordering and two-measure correlation analysis for document approval records (submitted_documents vs approved_documents) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document approvals — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied document approvals records (submitted_documents, approved_documents). 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
Two independent analytical reports: (1) a numeric row ordering of the supplied document approval records ranked by the selected field, and (2) a two-measure correlation analysis between submitted_documents and approved_documents across the provided rows. All computation is performed locally on the supplied data with no external lookups.
Example use cases
Team approval throughput ranking
“I have weekly document approval data for our two teams — submitted_documents and approved_documents per row. Can you rank the rows numerically by submitted_documents and also show me the correlation between submissions and approvals? Here are the rows: row-1 group-a 2026-10-01 submitted=50 approved=40, row-2 group-b 2026-10-01 submitted=80 approved=60, row-3 group-a 2026-10-02 submitted=30 approved=28, row-4 group-b 2026-10-02 submitted=90 approved=70.”
Approval bottleneck correlation analysis
“Can you compute the numeric ordering and correlation analysis for these document approval records? I want to see if higher submission volumes correlate with higher approvals. Rows: row-1 team-ops 2026-11-01 submitted=100 approved=85, row-2 team-legal 2026-11-01 submitted=60 approved=55, row-3 team-ops 2026-11-02 submitted=120 approved=90, row-4 team-legal 2026-11-02 submitted=40 approved=38. Use approved_documents as the field.”
Monthly document pipeline audit
“Please run the row ordering and two-measure correlation report on our monthly document pipeline data. Rows: row-1 finance 2026-09-01 submitted=200 approved=180, row-2 hr 2026-09-01 submitted=150 approved=130, row-3 finance 2026-09-02 submitted=220 approved=195, row-4 hr 2026-09-02 submitted=170 approved=145, row-5 finance 2026-09-03 submitted=180 approved=160. Field should be submitted_documents.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-17-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured document approval data (submitted vs approved counts per row/team/date) and need both a ranked ordering of rows and a correlation analysis between the two measures in a single call. Ideal for workflow analytics, approval pipeline audits, and team performance reviews where you supply your own data and need offline computation without external lookups or predictions.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows triggers maxItems violation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, team_group, date, submitted_documents, approved_documents) causes validation failure
- Invalid field enum value (not submitted_documents or approved_documents) causes rejection
- Numeric values outside ±1,000,000,000,000 range fail validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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