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Account Research Coverage — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Account Research Coverage — Record Quality Audit + String Normalisation + Numeric Distribution 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).
Audits record quality, normalises strings, and computes numeric distributions for up to 200 account research coverage rows across researched_accounts and target_accounts fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied account research coverage records (researched_accounts, target_accounts). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the supplied rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report standardising company_group and other string fields; and (3) a numeric distribution report summarising the selected numeric field (researched_accounts or target_accounts) across the dataset.
Example use cases
Pre-analysis data quality check
“Before I hand this account coverage dataset off to the sales team, can you audit the record quality, normalise the company_group strings, and show the numeric distribution for researched_accounts? I have about 80 rows with row_id, company_group, date, researched_accounts, and target_accounts.”
Target accounts coverage distribution
“I've got 150 rows of account research coverage records and I want to understand the distribution of target_accounts across company groups — can you run the three standard reports (quality audit, string normalisation, numeric distribution) and focus the distribution on target_accounts?”
CRM data normalisation audit
“Our CRM export has inconsistent company group names and possibly some bad records — can you run a record quality audit and string normalisation on these 60 account research rows, plus give me a numeric distribution on researched_accounts so I can see where coverage is clustered?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and numeric distribution — on account research coverage data (researched_accounts, target_accounts) in a single low-cost call. Ideal for pre-processing CRM or sales intelligence exports before downstream analysis, when you have up to 200 rows and want to avoid separate API calls for each report type. Do not use if you need live account lookups, predictive scoring, or external data enrichment.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds batch limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (not researched_accounts or target_accounts) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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