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Business Event Participation — Record Quality Audit + Exact Row Deduplication + Base-100 Series
x402
Business Event Participation — Record Quality Audit + Exact Row Deduplication + 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 2026-10-16).
Runs three analytical reports (record quality audit, exact row deduplication, and base-100 index series) on up to 200 rows of business event participation data with attendee and company counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series for supplied business event participation records (attendee_count, company_count). 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 analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, and formatting problems; (2) an exact row deduplication report identifying duplicate records; and (3) a base-100 index series for the selected numeric field (attendee_count or company_count) relative to the specified base row. All computed locally with no external lookups.
Example use cases
Auditing event attendance data quality
“I've got a dataset of business event participation records with attendee counts and company counts across different company groups and dates — can you run a record quality audit on them to flag any issues, and also check for exact duplicate rows?”
Base-100 trend indexing for company counts
“I need a base-100 index series for the company_count field across my event participation records, starting from the first row as the base. Can you compute that along with the quality and deduplication reports?”
Deduplicating multi-source event participation exports
“We merged event attendance exports from two systems and I suspect there are exact duplicate rows. Can you run the exact row deduplication report on up to 200 rows of our business event participation data — fields are row_id, company_group, date, attendee_count, and company_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, deduplication, and indexed series — on business event participation data in a single low-cost call. It is ideal for offline/local analysis with no external data dependencies, when you have up to 200 rows with attendee and company count fields and want normalized trend analysis alongside data hygiene checks.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, attendee_count, company_count) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- base_index value out of range (0–199) causes an error
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not permitted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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