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Survey Participation String Normalisation and Two-Measure Correlation
x402
Survey Participation 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 2026-11-03).
Normalises string fields and computes two-measure correlation between respondents and invitations for up to 200 survey participation records, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey participation — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied survey participation records (respondents, invitations). 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 local analytical reports: (1) normalised string fields for course_group and related text columns across the supplied rows, and (2) a two-measure correlation result quantifying the statistical relationship between respondents and invitations across up to 200 input rows. No external lookups or predictions are made.
Example use cases
Education survey response rate analysis
“I have weekly survey participation data for two course groups from October 2026 — can you normalise the group name strings and tell me how strongly the number of invitations correlates with the number of respondents across all 200 rows?”
Course group participation quality check
“We sent out invitations and tracked respondents for our online courses by group and date. Can you clean up the course_group labels and compute a two-measure correlation between invitations and respondents so I can see which groups have the strongest uptake pattern?”
Survey campaign effectiveness reporting
“I need two analytical reports on my survey campaign data: one normalising the string fields like course_group and row_id, and one showing the correlation between invitations sent and respondents collected across dates. I have about 150 rows to analyse.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular survey participation data with respondent and invitation counts per course group and date, and need both string normalisation and a two-measure correlation in a single low-cost call. Ideal for education analytics pipelines processing up to 200 rows without requiring live data lookups, predictions, or external enrichment.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, course_group, date, respondents, or invitations) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null or extreme numeric values for respondents/invitations may affect correlation reliability
- Insufficient data variance causes correlation to be undefined or degenerate
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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