Survey Participation Data Quality Suite: Record Audit + Deduplication + Numeric Filter 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 data — record quality audit, exact row deduplication, and numeric interval filtering — for up to 200 rows of respondent/invitation records.
Survey participation — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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.
Three independent reports returned together: (1) a record quality audit highlighting missing, malformed, or suspect values in each row; (2) an exact row deduplication report identifying and grouping identical records; (3) a numeric interval filter report listing which rows fall within the specified minimum–maximum range for the chosen field (respondents or invitations). All processing is local with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-214?utm_source=zero.xyzChoose this endpoint when you need to simultaneously audit data quality, remove duplicate rows, and apply a numeric range filter on survey participation data (respondents/invitations) in a single low-cost call. It is ideal for education or course-group survey datasets of up to 200 rows where you want three analytical perspectives at once without any external API calls or live data lookups. Prefer alternatives if you need predictive analytics, live survey platform integration, statistical modeling, or datasets larger than 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
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