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Account Research Coverage IQR Outlier Flags + Date by Category Pivot
x402
Account Research Coverage IQR Outlier Flags + Date by Category Pivot 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).
Analyzes supplied account research coverage data (researched_accounts, target_accounts) to produce IQR-based outlier flags and a date-by-category pivot table, using local analytical engines on up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied account research coverage records (researched_accounts, target_accounts). 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 dataset: (1) IQR outlier flags identifying which rows have statistically anomalous values for the selected field (researched_accounts or target_accounts), and (2) a date-by-category pivot table summarizing the selected metric broken down by date and company_group. No external data is fetched; all analysis is performed on the submitted rows.
Example use cases
Spot anomalous research coverage by team
“I have account research data across several company groups for the past quarter — can you flag any rows where researched_accounts looks like a statistical outlier using IQR, and also pivot the data by date and company group so I can see coverage patterns?”
QA target account counts before pipeline review
“Before our pipeline meeting, can you run IQR outlier detection on our target_accounts data across all company groups and dates, and give me a date-by-category breakdown so I can spot any weird spikes or gaps?”
Audit research effort distribution across segments
“I want to audit how research effort is distributed — can you take my 150 rows of account coverage records and produce both an IQR outlier flag report and a date-by-company-group pivot on the researched_accounts field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-178?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have account research coverage data with researched_accounts or target_accounts metrics and want both IQR-based statistical outlier detection and a date-by-category pivot in a single low-cost call. Prefer it over general BI tools when you need a quick, structured, no-setup analytical pass on up to 200 rows without requiring a live database connection or external data access.
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Non-numeric values in researched_accounts or target_accounts — parse error
- Missing required fields (row_id, company_group, date) — schema rejection
- Too few distinct values for meaningful IQR computation — report may note insufficient data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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