Account Research Coverage – Record Quality Audit, String Normalisation & Category Frequencies 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).
Runs three local analytical reports (record quality audit, string normalisation, and category frequencies) on up to 200 rows of account research coverage data containing researched_accounts and target_accounts fields.
Account research coverage — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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.
Three independent analytical reports returned together: (1) a record quality audit flagging nulls, out-of-range values, and malformed fields across the supplied rows; (2) a string normalisation report showing standardised versions of company_group and other string fields; and (3) a category frequency table summarising how often each company_group category appears across the dataset. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-195?utm_source=zero.xyzChoose this endpoint when you need a fast, low-cost, local-only quality check on account research coverage records — specifically for the combination of record quality auditing, string normalisation, and category frequency analysis in a single call. It does not perform live lookups, predictions, or enrichment, so it is ideal for pre-ingestion validation or routine data hygiene checks on batches of up to 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array |
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