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Business Event Participation Analytics — Quality Audit, Deduplication & Trailing Mean
x402
Business Event Participation Analytics — Quality Audit, Deduplication & Trailing Mean 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 local analytical reports on business event participation data: record quality audit, exact row deduplication, and trailing mean series for attendee or company counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean 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
Three independent analytical reports: (1) a record quality audit flagging missing, invalid, or malformed fields; (2) an exact row deduplication report identifying identical records; and (3) a trailing mean time series for the selected numeric field (attendee_count or company_count) computed over the specified window size — all derived locally from the supplied data.
Example use cases
Conference data cleanup before reporting
“I have up to 150 rows of conference participation records with attendee_count and company_count per date and company group. Can you audit them for quality issues, flag any exact duplicate rows, and compute a trailing mean of attendee_count with a window of 5?”
Rolling average for event series dashboard
“Run a trailing mean series on my business event participation data — I want to track the rolling average of company_count over a window of 4 periods across these 80 rows organized by company_group and date.”
Pre-analysis deduplication of event registrations
“Before I analyze this dataset, can you check these 200 event participation rows for record quality problems and exact duplicates? The rows have attendee_count and company_count by date and company_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously validate data quality, remove duplicates, and compute rolling averages on business event participation data in a single $0.01 call. It is ideal for pre-analysis data cleaning pipelines where attendee and company count records need three standard analytical passes without any external lookup or live data enrichment.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group, attendee_count, company_count) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- Window size outside range 2–200 returns error
- Numeric values outside allowed range cause schema validation failure
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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