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Form Inventories String Normalisation and Two-Measure Correlation
x402
Form Inventories String Normalisation and 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).
Performs string normalisation and two-measure correlation analysis on form inventory records (field_count, labelled_fields) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Form inventories — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied form inventories records (field_count, labelled_fields). 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 covering: (1) normalised string representations of the text fields in the supplied form inventory rows, and (2) a two-measure correlation analysis between field_count and labelled_fields across all supplied rows. Results are computed locally with no external lookups or predictions.
Example use cases
Form labelling completeness analysis
“I have data from our web forms across two site groups over the past month — each row has a date, site_group, field_count, and labelled_fields. Can you normalise the strings and run a two-measure correlation to see how closely labelling tracks total field count? I have about 80 rows.”
Audit form accessibility across groups
“We're auditing how well our forms are labelled for accessibility. I have a dataset of 120 form inventory records with field_count and labelled_fields per date and site group. Please normalise the strings and give me two correlation reports between those two measures.”
Compare form structure across site groups
“Can you analyse this form inventory dataset of 40 rows — one entry per day per site group — and normalise the site_group strings and compute the correlation between field_count and labelled_fields? I need two independent analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-21-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, deterministic string normalisation combined with a two-measure correlation analysis on form inventory data (field_count vs labelled_fields) for up to 200 rows at a low fixed cost. It is ideal for auditing form labelling completeness across site groups without requiring any live data connections, external APIs, or professional assessment services.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, field_count, labelled_fields) cause row rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Null numeric values may reduce correlation quality
- Malformed row objects with extra properties are rejected due to additionalProperties: false
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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