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Business Event Participation — Adjacent Row Changes + IQR Outlier Flags
x402
Business Event Participation — Adjacent Row Changes + IQR Outlier Flags 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).
Computes adjacent-row delta changes and IQR-based outlier flags for business event participation data (attendee_count, company_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags for supplied business event participation records (attendee_count, company_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports for the supplied rows: (1) adjacent row change values showing delta between consecutive rows for the chosen metric, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. Both reports are computed locally with no external data lookups.
Example use cases
Conference attendance anomaly detection
“I have 50 rows of conference event data with dates, attendee counts, and company counts by group — can you run adjacent row change detection and IQR outlier flagging on the attendee_count field so I can spot any unusually high or low attendance days?”
Corporate event company participation audit
“Here are 120 rows of our corporate event participation records including row IDs, dates, company groups, and company counts — please analyze the company_count field for adjacent row changes and flag any IQR outliers so we can identify unusual participation spikes.”
Trade show series quality check
“I need to quality-check our trade show series data — I've got 80 event rows with attendee_count and company_count values across several company groups. Can you compute the row-over-row changes and flag outliers using IQR analysis on the attendee_count field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-157?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular business event participation data and need fast, local statistical analysis — specifically adjacent-row deltas and IQR-based anomaly detection — without any external lookup or live data enrichment. Ideal for data quality checks on event datasets up to 200 rows at very low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, company_group) — validation error
- Date not in YYYY-MM-DD format — pattern validation failure
- Invalid field selector (not attendee_count or company_count) — enum error
- Empty rows array — minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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