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Survey Participation String Normalisation & Adjacent Row Changes
x402
Survey Participation String Normalisation & Adjacent Row Changes 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).
Runs two local analytical reports on survey participation data: string normalisation and adjacent row changes, for up to 200 rows of respondent/invitation records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey participation — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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 independent analytical reports: (1) a string normalisation report standardising the course_group text field across all submitted rows, and (2) an adjacent row changes report showing the delta in the selected numeric field (respondents or invitations) between consecutive rows. No external lookups or predictions are made; all analysis runs on the supplied data only.
Example use cases
Audit course group label consistency
“I have a CSV of survey responses across multiple course groups and the group names look inconsistently formatted — can you normalise those strings and also show me how respondent counts changed between consecutive rows? Here are my 8 rows with dates, course_group labels, respondent and invitation counts.”
Detect week-over-week response shifts
“I'm tracking weekly survey invitations sent to students across three course groups over the past month — can you run an adjacent row changes report on the invitations field so I can see how invitation volumes shifted from one row to the next? I'll send you the 20 rows.”
Pre-analysis data cleaning for participation study
“Before I run my main analysis, I need to clean up the course group strings and flag any big jumps in respondent numbers between sequential records in my participation dataset — can you do both reports on these 50 rows and tell me what you find?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-029?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of survey participation data (respondents and invitations by course group and date) and need both string normalisation of categorical text fields and adjacent row change detection on a numeric field in a single low-cost call. It is ideal for lightweight data quality and delta analysis without needing live data connections, predictions, or external services.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, course_group, date, respondents, invitations) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Invalid field enum value (must be 'respondents' or 'invitations') — error
- Empty rows array — minimum 1 row required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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