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Survey Participation Data Quality & Ordering Reports
x402
Survey Participation Data Quality & Ordering Reports 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).
Runs three local analytical reports on survey participation records: record quality audit, string normalisation, and numeric row ordering — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey participation — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied survey participation records (respondents, invitations). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging missing, invalid, or inconsistent values across the supplied rows; (2) a string normalisation report cleaning and standardising string fields such as course_group; (3) a numeric row ordering report ranking rows by the selected numeric field (respondents or invitations). All reports are computed locally with no external lookups. Up to 200 rows supported per call.
Example use cases
Education survey data cleanup
“I've got survey participation records for two course groups — can you audit the data quality, normalise the course_group strings, and sort the rows by number of respondents? Here are my rows: row-1 on 2026-10-01 for group-a with 10 respondents and 1 invitation, row-2 on 2026-10-02 for group-b with 20 respondents and 2 invitations.”
Invitation count ordering for survey analysis
“Please run the three standard reports — record quality audit, string normalisation, and numeric row ordering — on my survey invitation data for groups 'group-a' and 'group-b' across October 2026, and order everything by the invitations field.”
Pre-analysis data validation for course survey
“Before I analyse my course survey results, can you check the data quality and normalise the string fields for my 6 participation records? The rows include course groups like 'Group A', 'group-a', and 'GROUP A' and I need them cleaned up, plus a quality audit and row ordering by respondents.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and numeric ordering — on survey participation data (respondents and invitations) in a single low-cost call. It is ideal for education or research contexts where course group survey records need pre-analysis cleaning and validation without any external data enrichment or live lookups. Prefer this over separate single-report endpoints when all three operations are needed together to reduce cost and round-trips.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, course_group, date, respondents, invitations) — rejected row
- Invalid field enum value (not 'respondents' or 'invitations') — schema error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Payment not provided or insufficient — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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