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Business Event Participation — Record Quality Audit + String Normalisation + Base-100 Series
x402
Business Event Participation — Record Quality Audit + String Normalisation + 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 local analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 rows of business event participation data containing attendee and company counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + 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 reports for the submitted rows: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed fields; (2) a string normalisation report cleaning company_group and other string fields; and (3) a base-100 index series for the selected numeric field (attendee_count or company_count) anchored to the specified base row index. All processing is local with no external lookups.
Example use cases
Pre-analysis data quality check for event records
“I've got a spreadsheet of 50 business event rows with attendee counts and company group names — can you run a full record quality audit on them and flag any issues like nulls, out-of-range values, or malformed dates before I hand them off to the analyst team?”
Normalising messy company group labels in attendance data
“My event participation dataset has inconsistent company group strings across 120 rows — some have trailing spaces, mixed casing, things like that. Can you run the string normalisation report on the company_group field so I get clean, standardised values?”
Building a base-100 index series for attendee trends
“I want to index my attendee_count figures to a baseline so I can compare growth across our quarterly events. Can you generate a base-100 series for the attendee_count field across my 80 event rows, using row index 0 as the base?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of business event participation data and need all three of quality auditing, string normalisation, and base-100 series indexing in a single cheap call ($0.01 USDC). It is ideal for pre-analysis data cleaning pipelines, batch QA checks on event attendance datasets, and producing comparable indexed series without any external API dependency or live lookup. It is not appropriate for datasets exceeding 200 rows, real-time prediction, or live data enrichment.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- base_index out of range (>= number of rows submitted) causes index computation failure
- Numeric values outside ±1,000,000,000,000 boundary are rejected by schema validation
- Empty rows array (minItems:1 violated) returns a schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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