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Survey Participation Category Frequencies & Missing-Value Fill
x402
Survey Participation Category Frequencies & Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes category frequency distributions and fills missing values in survey participation data (respondents/invitations) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey participation — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill 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 analytical reports: (1) a category frequency table showing how often each course_group value appears across the supplied rows, and (2) the dataset with missing values in the chosen field (respondents or invitations) filled using the selected method (zero, mean, or median). Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Course group participation frequency audit
“I've got survey data for four course groups from October 2026 — rows with date, course_group, respondents, and invitations — can you tell me how often each course group appears and fill any missing respondent counts using median?”
Invitation data cleanup with zero fill
“My survey participation dataset has some null invitation values across about 150 rows. Can you compute the category frequencies for course_group and fill those missing invitation numbers with zero?”
Mean imputation for respondent tracking
“I'm tracking survey respondents across multiple course groups over several dates and some rows have null respondent values. Run category frequencies on the course_group column and fill the missing respondents using mean imputation.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a category frequency summary and missing-value imputation on survey participation data (respondents/invitations) in a single low-cost call. Ideal for education analytics pipelines with up to 200 rows where you want two reports at once without setting up local data tooling. Best when your data is already structured with course_group, date, respondents, and invitations fields.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds batch limit
- Invalid date format (non-YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, course_group, date) — validation failure
- Numeric values outside allowed range — schema rejection
- Invalid enum value for field or method parameters — request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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