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Business Event Participation Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies
x402
Business Event Participation Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies 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 (up to 200 rows): a record quality audit, string normalisation, and category frequency counts 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 + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 separate analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates across all rows; (2) normalised string representations for the company_group and other string fields; (3) a frequency table showing how often each category (company_group) appears in the dataset, covering up to 200 input rows.
Example use cases
Pre-reporting event data cleanup
“I have 120 rows of event participation data with company_group, attendee_count, and company_count — can you run a quality audit, normalise the company group names, and tell me how often each category appears before I build my report?”
Detect dirty records in attendance dataset
“Before I load this event attendance dataset into our dashboard, can you check the record quality and flag any issues in the attendee_count and company_count columns? Also normalise the company_group strings and count category frequencies. There are about 80 rows.”
Category frequency summary for event planning
“I want to understand how our 200 event participation records are distributed across company groups — can you run string normalisation on company_group, audit record quality, and give me frequency counts for each category?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of business event participation data and need three types of analysis in a single low-cost call: data quality auditing, string normalisation, and category frequency reporting. It is ideal for pre-processing or QA steps before downstream analysis, dashboard loading, or reporting. Prefer this over general-purpose data tools when you specifically need all three report types bundled cheaply ($0.01 USDC) and your data fits the attendee_count/company_count/company_group schema.
Side effects
- Exceeding 200 rows in the input array returns a validation error
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause row-level or request-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Numeric values outside the allowed range (-1e12 to 1e12) may be flagged in the quality audit
- Empty rows array (minItems:1 not met) returns a validation error
- Payment failure via x402 protocol results in no reports being returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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