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Survey Participation Base-100 Series + Missing-Value Fill
x402
Survey Participation Base-100 Series + 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 2026-10-30).
Computes a base-100 indexed time series and fills missing values for survey participation data (respondents and/or invitations) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey participation — Base-100 series + Explicit missing-value fill: Base-100 series + 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) a base-100 indexed series for the chosen field (respondents or invitations), rebased to 100 at the specified row index; (2) a dataset with missing values in the chosen field explicitly filled using the selected method (zero, mean, or median). Both reports are computed locally on the up-to-200 supplied rows with no external data lookup.
Example use cases
Normalizing course group response trends
“I have weekly survey response counts for group-a and group-b across 12 weeks, some weeks have null respondents. Can you index the respondents field to base 100 starting from week 0 and fill in the missing values using the mean, so I can compare participation trends across groups?”
Auditing invitation rate completeness
“Our survey platform exported 80 rows of invitation and respondent data by date and course group, but some invitation values are missing. Can you run the base-100 series on the invitations field starting at index 0 and fill missing entries with zero so we have a clean indexed dataset?”
Baseline participation benchmarking for education report
“I need to benchmark student survey participation for a quarterly education report — I have 150 rows with course_group, date, respondents, and invitations. Please create a base-100 indexed series for respondents from the first row and impute any nulls using median, and give me both analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw survey participation tabular data (respondents and invitations by course group and date) and need both a normalized base-100 time series and missing-value imputation in a single low-cost call. It is ideal for offline/batch analytical preparation of education survey exports before visualization or reporting, when no live data lookup or prediction is needed and the dataset fits within 200 rows.
Side effects
- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows supplied — rejected by maxItems constraint
- Missing required fields (row_id, course_group, date, respondents, invitations) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- base_index value exceeds number of supplied rows
- Field or method enum value not in allowed set
- All values for the target field are null, making mean/median imputation undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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