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Purchase Orders String Normalisation + Two-Measure Correlation
x402
Purchase Orders String Normalisation + 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 2026-10-26).
Normalises string fields and computes two-measure correlation between ordered_amount and received_amount across up to 200 purchase order rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Purchase orders — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied purchase orders records (ordered_amount, received_amount). 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 string normalisation report that standardises text fields such as store_group across all submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between ordered_amount and received_amount across the dataset. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Retail fulfillment correlation check
“I have 120 purchase order rows from our two store groups — each row has an ordered_amount and a received_amount. Can you normalize the text fields and tell me how strongly those two measures correlate across the dataset?”
Data quality audit on purchase orders
“We just exported our purchase order records for Q4 — about 80 rows with dates, store group labels, and two dollar amounts per row. Can you clean up the string fields and give me a correlation report showing whether what we ordered lines up with what we actually received?”
Supply chain discrepancy analysis
“Run string normalisation and a two-measure correlation analysis on these 45 purchase order records for our retail outlets — I want to see if ordered_amount and received_amount move together or if there are systematic gaps between the two.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-19-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 purchase order rows with ordered_amount and received_amount fields and need both string normalisation and a correlation report in a single low-cost API call. It is purpose-built for retail purchase order analytics and requires no external data or live lookups, making it ideal for offline or batch data-quality and fulfillment-analysis workflows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, ordered_amount, received_amount) cause row rejection
- Date strings not matching YYYY-MM-DD pattern fail schema validation
- Submitting fewer than 1 row returns an error
- Null values in both numeric measures may reduce correlation reliability
- Payment of 0.01 USDC not included causes HTTP 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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