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Survey Participation — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Survey Participation — Adjacent Row Changes + Secondary-Measure Weighted Mean 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 adjacent row-to-row changes and secondary-measure weighted mean for survey participation data (respondents and invitations) over up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey participation — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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) adjacent row changes showing the difference between consecutive rows for the selected field (respondents or invitations), and (2) a secondary-measure weighted mean calculated across all supplied rows using the complementary field as a weight — all computed locally from the supplied data with no external lookup.
Example use cases
Daily survey response trend analysis
“I have weekly survey data for two course groups across 5 dates — can you calculate the day-over-day changes in respondent counts and compute the weighted mean of respondents for me? Here are the rows: 2026-11-01 group-a row-1 respondents 50 invitations 200, 2026-11-02 group-b row-2 respondents 45 invitations 180, 2026-11-03 group-a row-3 respondents 60 invitations 210, 2026-11-04 group-b row-4 respondents 55 invitations 195, 2026-11-05 group-a row-5 respondents 70 invitations 220 — use the respondents field.”
Invitation volume shift tracking
“Run adjacent row change analysis and a weighted mean report on my invitation data across these survey records — I need to see how invitation counts shift between rows and what the weighted average looks like. Rows: 2026-09-01 group-x row-1 invitations 500 respondents 100, 2026-09-02 group-y row-2 invitations 480 respondents 95, 2026-09-03 group-x row-3 invitations 510 respondents 110, use invitations as the field.”
Course group participation comparison
“Can you analyze my survey participation records and give me both the row-by-row changes and the secondary-measure weighted mean? I've got two course groups: 2026-08-15 group-alpha row-1 respondents 30 invitations 150, 2026-08-16 group-beta row-2 respondents 25 invitations 130, 2026-08-17 group-alpha row-3 respondents 35 invitations 160 — run it on the respondents field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-159?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have survey participation data with respondents and invitation counts per row and need two specific calculations — adjacent row changes and a secondary-measure weighted mean — performed together in a single call. It is ideal for education survey analytics workflows where you want quick statistical summaries without setting up a local computation environment. Prefer this over generic analytics platforms when you need a low-cost ($0.01), lightweight, schema-validated batch computation on up to 200 rows.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — exceeds maximum, rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, course_group, date, respondents, invitations) — validation error
- Invalid field enum value (not 'respondents' or 'invitations') — rejected
- Null values for both respondents and invitations in a row — may produce undefined weighted mean
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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