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Account Research Coverage — Grouped Numeric Summary + IQR Outlier Flags
x402
Account Research Coverage — Grouped Numeric Summary + 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 grouped numeric summary statistics and IQR-based outlier flags for account research coverage data (researched_accounts, target_accounts) across company groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags 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 independent analytical reports: (1) a grouped numeric summary (e.g. mean, median, min, max, quartiles, std dev) broken down by company_group for the selected field, and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds, for up to 200 supplied rows across researched_accounts or target_accounts.
Example use cases
Sales team coverage audit by region
“I have account research coverage data for our sales regions with up to 150 rows including company_group, date, researched_accounts, and target_accounts. Can you group them and give me a numeric summary plus flag any IQR outliers in the researched_accounts field so I can spot which groups are under-researching?”
Detecting anomalous target account volumes
“Here are 80 rows of our weekly target_accounts tracking data organized by company group and date — can you compute grouped descriptive stats and flag any outlier rows using the IQR method on the target_accounts field?”
Pipeline coverage benchmarking across business units
“I want to compare account research coverage across our business units — I've got 200 rows with company_group, date, researched_accounts, and target_accounts. Can you give me a grouped numeric summary and highlight which rows are outliers based on IQR for researched_accounts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw account research coverage records (researched_accounts, target_accounts) organized by company group and date, and need both grouped descriptive statistics and IQR-based outlier detection in a single call without any external data lookup or live enrichment. It is well-suited for sales ops teams auditing pipeline coverage, analysts benchmarking research activity across business units, or automated pipelines flagging anomalous account data before reporting. Prefer this over generic analytics tools when you want a low-cost ($0.01 USDC), self-contained, on-supplied-data computation with no side effects.
Side effects
- Fewer than 1 row provided — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- field enum value not one of 'researched_accounts' or 'target_accounts' — rejected
- All values null for selected field — summary may be empty or undefined
- Payment of 0.01 USDC not provided — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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