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Account Research Coverage — Equal-Width Histogram + Explicit Missing-Value Fill
x402
Account Research Coverage — Equal-Width Histogram + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Generates an equal-width histogram and fills missing values for account research coverage data (researched_accounts and target_accounts) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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: (1) an equal-width histogram showing bin boundaries and frequency counts for the selected field, and (2) the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Results are computed locally with no external lookups.
Example use cases
Sales coverage distribution analysis
“I have 120 rows of account research records with researched_accounts and target_accounts values — can you build an equal-width histogram with 8 bins for the researched_accounts field and fill any nulls with the median? I'll paste the rows in JSON format.”
Missing data cleanup before reporting
“Before I run my quarterly report, can you fill in all the missing target_accounts values in my dataset using zero-fill, then show me the histogram with 5 bins so I understand the distribution? Here are my 50 records.”
Comparing account coverage across company groups
“I want to see how target_accounts are distributed across 15 equal-width bins for my multi-group dataset — group-a and group-b records from Q1 2024 — and replace any null values with the mean before binning.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-175?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quick, self-contained distribution analysis and missing-value fill for account research coverage metrics (researched_accounts or target_accounts) on a small dataset (≤200 rows). Ideal for sales ops or CRM analytics workflows where you want to understand data distribution and clean nulls in a single paid call without sending data to an external ML or BI platform.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Invalid date format (not YYYY-MM-DD) causes schema validation error
- Missing required fields (row_id, company_group, date) causes row rejection
- bins value outside 1–30 range causes validation failure
- All values null for selected field may produce degenerate histogram
- Numeric values outside ±1,000,000,000,000 boundary cause schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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