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Document Approvals — String Normalisation + Equal-Width Histogram
x402
Document Approvals — String Normalisation + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs string normalisation and an equal-width histogram analysis on up to 200 document-approval records (submitted_documents or approved_documents), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document approvals — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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
Returns two analytical reports: (1) a string normalisation report cleaning and standardising text fields in the document approval records, and (2) an equal-width histogram report showing bin edges, frequency counts, and distribution of the chosen numeric field (submitted_documents or approved_documents) across up to 30 configurable bins.
Example use cases
Team submission volume distribution audit
“I have 150 rows of document approval records across our operations teams — can you normalise the data and give me an equal-width histogram with 10 bins on the submitted_documents field so I can see how submission volumes are distributed?”
Approval rate frequency analysis
“Can you run a histogram analysis on the approved_documents column across my 80 approval records — use 5 bins and include string normalisation so I can spot any outlier approval counts across team groups?”
Monthly approvals spread for compliance review
“I need to understand the spread of approved documents across our department groups for compliance reporting — can you normalise the strings and bucket the approved_documents values into 8 equal-width bins for these 200 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-17-031?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local statistical analysis of document approval records with no external data lookups — specifically when you want both string normalisation (cleaning team/group labels) and a histogram frequency distribution of submission or approval counts. Ideal for operations teams auditing document throughput patterns, compliance teams reviewing approval spreads, or analysts preparing distribution summaries from batch exports of up to 200 rows. Prefer this over general analytics tools when the 0.01 USDC flat fee for two bundled reports is cost-effective and when data privacy requires no external data transmission beyond this compute endpoint.
Side effects
- More than 200 rows submitted — request rejected, maxItems limit exceeded
- Missing required fields (row_id, date, submitted_documents, approved_documents) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected with parameter error
- Numeric values outside ±1,000,000,000,000 — schema violation
- Invalid field enum value (not submitted_documents or approved_documents) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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