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Account Research Coverage — Equal-Width Histogram + Keyed Dataset Comparison
x402
Account Research Coverage — Equal-Width Histogram + Keyed Dataset Comparison 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 an equal-width histogram and a keyed dataset comparison report for account research coverage data (researched_accounts vs target_accounts) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + Keyed dataset comparison 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) an equal-width histogram showing the distribution of the selected field (researched_accounts or target_accounts) across up to 30 bins, and (2) a keyed dataset comparison highlighting differences between the primary rows dataset and the secondary 'other' dataset, matched by row_id.
Example use cases
Coverage distribution audit by company group
“I have 150 rows of account research coverage records for Q4, each with a company_group, date, researched_accounts, and target_accounts. Can you generate a 10-bin equal-width histogram on the researched_accounts field and compare the records against our benchmark dataset so I can see where coverage is concentrated?”
Identifying research gaps vs targets
“Compare our current list of researched accounts against our target accounts list using a keyed dataset comparison — I want to see which rows differ and also get a 5-bin histogram of the target_accounts field. I'll supply both datasets, each up to 80 rows with row_id, company_group, date, and numeric values.”
Quarterly coverage spread analysis
“We've got two quarters of account research data I want to analyze side by side — the primary dataset has 200 rows with researched_accounts and target_accounts per company group and date. Run an equal-width histogram with 8 bins on researched_accounts and do a keyed comparison between the two quarters for me.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, offline statistical analysis of account research coverage data — specifically an equal-width histogram and a keyed comparison between two supplied datasets — without requiring any live data lookup, ML prediction, or external enrichment. Ideal for sales ops or RevOps teams doing coverage audits on batches of up to 200 records at very low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected
- Null values in numeric fields may affect histogram bin boundaries
- Mismatched row_ids between datasets may result in sparse comparison output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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