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Business Event Participation — Adjacent Row Changes + Explicit Missing-Value Fill
x402
Business Event Participation — Adjacent Row Changes + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Computes adjacent-row delta changes and fills missing values in business event participation data (attendee_count, company_count) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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 2 analytical reports: (1) adjacent row change calculations showing delta between consecutive rows for the specified field, and (2) explicit missing-value fill results replacing nulls using the chosen method (zero, mean, or median) — all processed locally with no external lookups.
Example use cases
Clean event attendance time series
“I have 150 rows of daily business event attendance data with some null attendee_count values — please fill those missing values using the median method and also show me the row-over-row changes in attendee_count.”
Analyze company participation deltas
“Can you take my business event participation records (up to 80 rows) and compute the adjacent row changes for company_count, filling any missing company_count values with zero so I can see the sequential trends?”
Impute missing values before reporting
“I need to prepare my event participation dataset for a board report — fill the missing attendee_count fields using mean imputation and give me the adjacent row difference calculations across all 200 rows grouped by company_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both row-over-row delta computation AND missing value imputation on business event participation data in a single call. Ideal when your dataset has up to 200 rows of attendance/company records with nulls that need cleaning before sequential analysis. Prefer over general analytics tools when you want a low-cost ($0.01 USDC), self-contained local computation with no external data lookups or predictions.
Side effects
- Input array exceeds 200 rows — rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, company_group, date) causes validation failure
- Invalid method enum value (not zero/mean/median) causes rejection
- Empty rows array (minItems:1 not met) causes validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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