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Document Approvals — String Normalisation + Base-100 Series
x402
Document Approvals — String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs string normalisation and base-100 index series analysis on up to 200 rows of document approval data (submitted_documents, approved_documents), returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document approvals — String normalisation + Base-100 series: String normalisation + Base-100 series 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 analytical reports per call: (1) string-normalised representation of the selected field across up to 200 input rows, and (2) a base-100 index series for the chosen field (submitted_documents or approved_documents) anchored at the specified base_index row, computed entirely locally with no external lookups.
Example use cases
Team approval rate trend indexing
“I have weekly document approval data for three teams over 20 weeks — can you normalize the approved_documents field and produce a base-100 index series starting from week 1 so I can compare how each team's approval rate trended over time?”
Submitted documents baseline comparison
“Take these 50 rows of daily submitted_documents records for groups Alpha and Beta from 2026-01-01 through 2026-02-19, normalize the strings, and give me a base-100 series starting from row 0 so I can see relative volume changes.”
Document approval pipeline audit
“We have 150 rows of document approval pipeline data with submitted and approved counts by team group and date — can you run string normalization and a base-100 index report on the approved_documents field, using row 10 as the base index?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-17-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local computation of string normalisation and base-100 index series on tabular document approval data (submitted vs approved counts by team and date) without any external lookup, prediction, or professional assessment. Ideal for small-to-medium datasets (up to 200 rows) where you want two bundled reports at a low flat cost ($0.01 USDC). Not suited for real-time monitoring, large datasets over 200 rows, or use cases requiring live data enrichment.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, team_group, submitted_documents, approved_documents) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- base_index out of range 0–199 — parameter error
- All null values in the selected numeric field — index computation may be undefined
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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