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Partnership Pipeline — Daily Sum Series + IQR Outlier Flags
x402
Partnership Pipeline — Daily Sum 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 daily sum time series and IQR-based outlier flags for qualified_partners and active_partners fields in supplied partnership pipeline records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Daily sum series + IQR outlier flags: Daily sum 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 analytical reports for the supplied rows: (1) a daily sum time series aggregating the selected field (qualified_partners or active_partners) by date, and (2) IQR-based outlier flags identifying statistically anomalous values. Covers up to 200 input rows using local analytical computation with no external lookups.
Example use cases
Weekly partner onboarding anomaly review
“I have 120 rows of our weekly partnership pipeline data with dates, company groups, and counts of qualified and active partners. Can you compute the daily sums and flag any IQR outliers in the active_partners field so I can spot unusual onboarding weeks?”
Multi-group qualified partner trend audit
“Here are 200 records from our partnership pipeline — each has a row_id, company_group, date, qualified_partners, and active_partners. Run the daily sum series and IQR outlier detection on qualified_partners so we can see which days have abnormal qualification volumes across groups.”
Partner pipeline data quality check
“Before I send this partnership dataset to leadership, can you run it through the daily sum series and IQR outlier flagging for active_partners? I have 85 rows with company_group and date fields — I want to make sure there are no statistical anomalies hiding in the numbers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular partnership pipeline data (up to 200 rows) with date, company group, and partner count fields and need both a daily aggregated time series and statistical outlier detection (IQR method) in a single low-cost call. Prefer this over general analytics tools when working specifically with qualified_partners and active_partners metrics and needing two bundled reports for $0.01 USDC. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.
Side effects
- Missing required fields (row_id, date, company_group, qualified_partners, active_partners) cause validation errors
- Input exceeding 200 rows is rejected
- Dates not matching YYYY-MM-DD pattern are rejected
- All-null values in the selected field may produce empty or degenerate outputs
- Invalid field enum value (not 'qualified_partners' or 'active_partners') causes error
- Insufficient data points for IQR computation may produce trivial outlier results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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