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Account Research Coverage — String Normalisation + Duplicate Key Report
x402
Account Research Coverage — 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 2026-10-15).
Runs string normalisation and duplicate key detection across up to 200 rows of account research coverage data (researched_accounts, target_accounts), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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) a string normalisation report highlighting inconsistent, non-standard, or variant string values in fields like company_group across the supplied rows, and (2) a duplicate key report identifying rows sharing the same key combinations (e.g. duplicate row_id, company_group+date pairs). Both reports cover up to 200 input rows and are generated using local analytical engines with no external data lookups.
Example use cases
Sales team deduplicating account research records
“We've exported our account research coverage data and suspect some rows have duplicate row IDs or repeated company_group and date combinations. Can you run a duplicate key report on these 80 rows and also normalise the company group strings so things like 'Group A', 'group-a', and 'GROUP A' get flagged?”
CRM data quality audit before quarterly review
“Before our Q4 pipeline review I want to clean up our target_accounts and researched_accounts records. Please normalise all the string fields and generate a duplicate key report for these 150 account research coverage rows so we can fix issues before they go into the report.”
Onboarding data validation for new accounts dataset
“We've just received a new dataset of 60 account research coverage records from a partner and want to validate it before importing. Can you check for any duplicate keys and run string normalisation across the company_group and date fields so we know if anything looks off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of account research coverage data and need both string normalisation and duplicate key detection in a single low-cost call ($0.01 USDC). It is ideal for data quality checks on CRM or sales account datasets before analysis or import. It is not appropriate when you need live data lookups, external enrichment, predictive scoring, or processing more than 200 rows.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Empty rows array (minItems: 1 not met) — error response
- Malformed JSON input — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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