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Business Event Participation — Record Quality Audit + String Normalisation + Equal-Width Histogram
x402
Business Event Participation — Record Quality Audit + String Normalisation + Equal-Width Histogram 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 on business event participation data: a record quality audit, string normalisation, and an equal-width histogram for attendee_count or company_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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 issues like nulls, out-of-range values, or malformed dates across the supplied rows; (2) a string normalisation report cleaning and standardising company_group and other string fields; and (3) an equal-width histogram breaking the chosen numeric field (attendee_count or company_count) into the specified number of bins with counts per bin. All computed locally with no external lookups.
Example use cases
Pre-load data quality check for event data
“Before I load this batch of 120 business event participation records into our data warehouse, can you audit them for quality issues, normalise the company_group strings, and give me a 5-bin histogram on company_count so I can spot outliers?”
Profiling attendee distribution across event series
“I have 80 rows of event participation data with attendee_count and company_count fields — can you profile the attendee_count distribution with an equal-width histogram using 8 bins, and also run a quality audit and string normalisation on the records?”
Cleaning and summarising event CRM export
“We exported event participation records from our CRM — about 200 rows. Can you check them for record quality problems, normalise the company_group names, and generate a 10-bin histogram on attendee_count so we can see how attendance is distributed?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three complementary data-profiling operations — quality audit, string normalisation, and histogram — on business event participation records in a single low-cost call. It is ideal for pre-ingestion data validation, exploratory data profiling, or cleaning CRM or event management exports when the dataset fits within 200 rows and no live external data enrichment is required.
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 (not YYYY-MM-DD) triggers schema validation failure
- Bins value outside 1–30 range is rejected
- Empty rows array is not accepted
- Null values in the selected histogram field may reduce histogram coverage
- Payment failure via x402 protocol blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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