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Partnership Pipeline — Trailing Mean Series + IQR Outlier Flags
x402
Partnership Pipeline — Trailing Mean Series + 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 2026-10-15).
Computes trailing moving averages and IQR-based outlier flags for qualified_partners and active_partners time-series data across partnership pipeline records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied partnership pipeline records (qualified_partners, active_partners). 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 independent analytical reports for the supplied rows: (1) a trailing mean series showing rolling averages over the specified window for the chosen field, and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds. Covers up to 200 rows per call with both reports delivered together.
Example use cases
Detect outlier spikes in qualified partner counts
“I have daily partnership pipeline records with qualified_partners and active_partners by company group going back 3 months — can you run trailing mean smoothing with a window of 7 and flag any IQR outliers in the qualified_partners series so I can spot unusual recruitment spikes?”
Monitor active partner trends by region
“Take these 120 rows of partnership data grouped by region and date, and give me trailing means plus IQR outlier flags for the active_partners field using a window size of 10 — I want to see which groups have abnormal dips or surges.”
Quality-check partner pipeline before quarterly review
“Before our Q3 review, can you run a statistical check on our partnership pipeline records — compute the trailing mean for qualified_partners with a window of 4 and flag any rows that fall outside the IQR bounds so we know which data points to investigate?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-149?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both trailing mean smoothing and IQR-based outlier detection on partnership pipeline data (qualified_partners or active_partners) in a single call. It is ideal for pre-processing or auditing partnership records before reporting or review cycles. Prefer this over generic stats tools when your data is already structured as time-series partnership pipeline rows with company groupings, and you want two coordinated statistical outputs at low cost ($0.01 USDC for both reports, up to 200 rows).
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, date, company_group) — schema rejection
- Window size larger than number of rows — insufficient data for computation
- Numeric values outside allowed range — schema validation error
- Invalid field enum value — rejected with allowed values listed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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