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Account Research Coverage — Record Quality Audit + String Normalisation + Duplicate Key Report
x402
Account Research Coverage — Record Quality Audit + String Normalisation + Duplicate Key Report 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).
Audits, normalises, and deduplicates up to 200 rows of account research coverage data (researched_accounts, target_accounts) across three independent local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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
Three independent reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report identifying and standardising inconsistencies in text fields like company_group; (3) a duplicate key report identifying rows sharing identical key combinations. All analysis is performed locally with no external lookups.
Example use cases
Pre-pipeline CRM data hygiene check
“I'm about to load my account research coverage records into our CRM — can you audit them first for quality issues, normalise the company group strings, and flag any duplicate row IDs? I have 120 rows with date, company_group, researched_accounts, and target_accounts fields.”
Weekly research tracking reconciliation
“Every Monday I need to review last week's account research data for duplicates and formatting problems. Here are 80 rows from groups like 'enterprise-west' and 'smb-east' covering 2026-10-01 through 2026-10-07 — run all three reports: quality audit, string normalisation, and duplicate key check.”
Multi-team coverage data merge validation
“We just merged account research coverage records from two sales teams and I need to check for duplicate keys, string inconsistencies in the company_group field, and overall record quality before we share the combined dataset. Can you process these 150 rows and give me all three reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit data quality, normalise string fields, and detect duplicate keys in account research coverage data in a single $0.01 call. It is ideal for pre-ingestion validation of CRM or sales research datasets with up to 200 rows where no live lookups, predictions, or external enrichment are needed — just fast, local analytical reports on supplied data.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause row-level validation errors
- Date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Numeric values for researched_accounts or target_accounts outside allowed range cause validation errors
- Empty rows array (minItems:1 not met) results in an error response
- Payment of 0.01 USDC not confirmed causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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