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Survey Participation Data Quality Suite — Audit, Deduplication & Numeric Ordering
x402
Survey Participation Data Quality Suite — Audit, Deduplication & Numeric Ordering 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 (respondents/invitations): record quality audit, exact row deduplication, 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 + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + 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
Returns three independent reports generated from the submitted rows: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates; (2) an exact row deduplication report identifying and removing identical records; and (3) a numerically ordered version of the rows ranked by the selected field (respondents or invitations). All processing is local — no external lookups or predictions are made.
Example use cases
Pre-analysis survey data cleanup
“I have a batch of survey participation records from our Q3 course groups — can you audit the record quality, flag any exact duplicate rows, and then sort the data numerically by respondents count? I'll send you up to 200 rows with row IDs, dates, course group names, and respondent/invitation counts.”
Course group invitation deduplication
“Before I run my participation analysis, can you check these invitation records for quality issues, pull out any exact duplicates, and order the remaining rows by invitation count? The dataset has course_group, date, row_id, respondents, and invitations columns.”
Education survey data validation pipeline
“I need to clean up this education survey participation dataset — please run a record quality audit, deduplicate any identical rows, and give me the results sorted numerically by the invitations field. There are about 150 rows covering multiple course groups and dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-10-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-efficient batch operation — quality audit, deduplication, and numeric ordering — on survey participation data (respondents and invitations) in a single API call. It is ideal for pre-analysis data cleaning pipelines in education or research contexts where up to 200 rows need to be validated locally without any external data enrichment or live predictions. Prefer alternatives if you need string normalization, histogram generation, or other statistical transformations not covered by these three reports.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, course_group, date, respondents, invitations) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array returns an error due to minItems:1 constraint
- Invalid field enum value (anything other than 'respondents' or 'invitations') causes a schema error
- Payment failure via x402 protocol prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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