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Survey Participation String Normalisation + Base-100 Series
x402
Survey Participation String Normalisation + Base-100 Series 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).
Normalises string fields and computes a base-100 index series for up to 200 survey participation records (respondents or invitations) across course groups and dates.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey participation — String normalisation + Base-100 series: String normalisation + Base-100 series 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 string normalisation report cleaning course_group and other text fields across the supplied rows, and (2) a base-100 index series for the selected numeric field (respondents or invitations), indexed relative to the specified base row. Both reports operate on the supplied data locally with no external lookups.
Example use cases
Education survey response rate indexing
“I have weekly survey data for three course groups over October 2026 — can you normalise the group labels and build a base-100 index series on the respondents column, using the first row as the base? Here are the rows: row-1 2026-10-01 group-a 45 respondents 200 invitations, row-2 2026-10-02 group-b 60 respondents 180 invitations, row-3 2026-10-03 group-a 50 respondents 210 invitations.”
Invitation uptake trend baseline comparison
“Can you run string normalisation and a base-100 series on the invitations field for this survey participation dataset? I want to see how invitation counts trend relative to the first record. I've got 5 rows spanning November 2026 across two groups.”
Multi-group participation data cleanup and indexing
“I need to clean up the course_group text fields and get a base-100 indexed series on respondent numbers for my survey records — about 20 rows from Q4 2026 covering four different course groups. Use row 0 as the baseline and run both the normalisation and index reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 survey participation records and need both string normalisation of categorical fields and a base-100 trend index on a numeric participation metric (respondents or invitations) in a single call. It is ideal for education analytics workflows where you want to benchmark participation relative to a specific baseline date without any external data lookups or predictions.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- base_index out of range (0–199) relative to provided rows — error
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- Missing required fields (row_id, course_group, date, respondents, invitations) — rejected row
- Numeric values outside allowed range cause schema rejection
- Payment not attached or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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