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Business Event Participation Data Quality & Distribution Analyzer
x402
Business Event Participation Data Quality & Distribution Analyzer 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 records: record quality audit, string normalization, and numeric distribution for attendee_count and company_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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, malformed, or out-of-range values; (2) a string normalization report identifying and correcting inconsistencies in company_group labels; and (3) a numeric distribution report summarizing the statistical distribution (e.g. min, max, mean, histogram bins) of the selected numeric field (attendee_count or company_count) across all submitted rows. All computed locally with no external lookups.
Example use cases
Pre-analysis event data quality check
“I have 150 rows of business event participation data with attendee counts and company counts per event — can you audit the record quality, normalize the company_group strings, and show me the numeric distribution of attendee_count before I run my analysis?”
Spotting anomalies in company attendance figures
“My event dataset has company_count values that look off — some might be nulls or outliers. Can you run a record quality audit and numeric distribution report on these company_count figures across my 80 event rows?”
Cleaning inconsistent event group labels
“We collected business event participation data across multiple company groups but the naming is inconsistent. Can you normalize the company_group strings and audit record quality for these 60 rows so I can standardize before merging datasets?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, affordable ($0.01) batch data profiling pass on up to 200 business event participation records and want three reports — quality audit, string normalization, and numeric distribution — in a single call without any external data lookups or AI inference. Ideal for pre-processing pipelines where you need to validate and profile raw event attendance data locally before downstream analysis.
Side effects
- Row count exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes row-level rejection
- Numeric values outside allowed range (±1,000,000,000,000) may fail schema validation
- Empty rows array (minItems: 1 not met) causes request failure
- Payment not supplied or insufficient USDC causes x402 payment error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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