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Account Research Coverage — Base-100 Series + IQR Outlier Flags
x402
Account Research Coverage — Base-100 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).
Generates a Base-100 indexed time series and IQR-based outlier flags for account research coverage data (researched_accounts and target_accounts), producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Base-100 series + IQR outlier flags: Base-100 series + 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 structured analytical reports: (1) a Base-100 indexed time series showing each row's researched_accounts or target_accounts value relative to a chosen baseline row, and (2) IQR-based outlier flags indicating which rows contain statistically anomalous values. Both reports operate on the same supplied dataset of up to 200 rows and are computed locally without any external data lookup.
Example use cases
Sales coverage trend normalization
“I have weekly account research coverage numbers for three company groups over the past year — can you normalize them into a base-100 index starting from the first row and also flag any outliers in the researched_accounts column using IQR?”
Prospecting anomaly detection by group
“Take my target_accounts data across groups Alpha and Beta for Q1 and Q2, index it to base-100 from row zero, and flag any IQR outliers so I can see which weeks had abnormal prospecting activity.”
Research coverage audit before reporting
“Before I present our account research coverage report to leadership, can you run a base-100 series and IQR outlier check on this dataset of 120 rows — company groups are EMEA and APAC, the field I care about is researched_accounts, and I want to base-index from the first entry?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-164?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular account research coverage data (researched_accounts, target_accounts) organized by company group and date, and need both a base-100 normalization for trend comparison and IQR outlier detection in a single low-cost call. It is ideal for pre-reporting audits, sales ops data quality checks, or any workflow where you want statistical anomaly flags alongside indexed trends without needing live data enrichment, predictions, or external lookups. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for routine data validation pipelines.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — schema validation failure
- Invalid date format not matching YYYY-MM-DD pattern — rejected input
- base_index out of range (0–199) relative to supplied rows — index error
- All values null for the selected field — IQR and base-100 computation undefined
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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