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Business Event Participation — Numeric Interval Filter + Trailing Mean Series
x402
Business Event Participation — Numeric Interval Filter + Trailing Mean 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).
Filters business event participation rows by a numeric interval and computes a trailing mean time series for attendee_count or company_count, returning 2 analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series 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 per call: (1) a numeric interval-filtered subset of the supplied rows based on the specified field, minimum, and maximum thresholds; and (2) a trailing mean time series computed over the specified window size for the chosen field (attendee_count or company_count). All computation is performed locally on the supplied data — no external lookups or live data are used.
Example use cases
Attendee range filtering with rolling average
“Here are my 80 event participation records by date. Filter them to only include rows where attendee_count is between 20 and 300, and then give me a trailing mean series with a window of 5 for the attendee_count field.”
Company count trend smoothing
“I've got 120 rows of business event data. I want to filter by company_count between 1 and 50 and compute a trailing mean series with a window of 3 on company_count — can you run both reports for me?”
Outlier exclusion before trend analysis
“Can you take these 200 business event participation rows, exclude any where attendee_count falls outside the range of 5 to 250, and then generate a trailing mean series with a window of 10 on attendee_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business event participation data (up to 200 rows) and need both a numeric range filter and a trailing mean time series computed in a single call. It is ideal for smoothing event attendance trends, excluding outliers by numeric bounds, and getting two complementary analytical views in one low-cost operation. Prefer it over general-purpose analytics when your data fits the business event participation schema (attendee_count, company_count) and you need a fast, deterministic, no-side-effect computation without live data dependencies.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size outside 2–200 range — validation error
- Minimum greater than maximum — may produce empty filtered result set
- Null values in the selected field — may affect trailing mean calculation
- Missing required row fields (row_id, company_group, date) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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