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Survey Participation — Adjacent Row Changes + Explicit Missing-Value Fill
x402
Survey Participation — Adjacent Row Changes + Explicit 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 2026-10-31).
Computes adjacent-row change analysis and fills missing values in survey participation data (respondents and invitations) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey participation — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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
Returns two analytical reports: (1) an adjacent row changes report showing the difference between consecutive rows for the target field, and (2) an explicit missing-value fill report where null values in the selected field (respondents or invitations) are replaced using the chosen strategy (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Impute missing respondent counts for course cohort
“I have weekly survey participation data for three course groups over 8 weeks but several respondent values are null — fill the missing respondents using median imputation and also show me the row-over-row changes for the respondents field.”
Track invitation volume changes across survey waves
“Can you analyze the adjacent row changes in invitation counts across our survey waves for group-a and group-b, and use zero-fill for any missing invitation values? I have 12 rows dated from 2026-09-01 through 2026-09-12.”
Clean participation data before reporting
“Before I generate our quarterly education survey report, I need to clean up my participation dataset — fill missing invitation counts using the mean and give me the row-by-row change summary for the invitations field across all 50 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both detect row-over-row changes and impute missing numeric values in survey participation data (respondents or invitations) in a single $0.01 call. It is ideal for education or training survey datasets organized by course group and date, where you want two distinct analytical outputs without live lookups or external dependencies.
Side effects
- Rows exceeding 200 items will be rejected — the array must contain 1–200 items
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Unrecognized field value (not 'respondents' or 'invitations') will be rejected
- Unrecognized method value (not 'zero', 'mean', or 'median') will cause an error
- Missing required fields (row_id, course_group, date, respondents, invitations) will fail validation
- Payment of 0.01 USDC must be included; unpaid requests will be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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