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Account Research Coverage — Duplicate Key Report + Base-100 Series
x402
Account Research Coverage — Duplicate Key Report + Base-100 Series 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 two local analytical reports on account research coverage data: a duplicate key report and a base-100 indexed series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series 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 reports: (1) a duplicate key report identifying any rows with repeated row_id values in the supplied dataset, and (2) a base-100 series normalizing the selected numeric field (researched_accounts or target_accounts) relative to a chosen base index row, covering up to 200 input rows. No external data is fetched; all computation is performed locally on the supplied rows.
Example use cases
Duplicate detection in CRM coverage data
“I've got about 150 rows of account research records with company group, date, researched_accounts, and target_accounts fields — can you check them for any duplicate row keys and also give me a base-100 series starting at index 0 using researched_accounts?”
Base-100 trend indexing for target accounts
“Take my target accounts coverage data across these company groups and dates and produce a base-100 indexed series starting from the first row, plus flag any duplicate row IDs — use target_accounts as the metric field.”
Pre-pipeline data audit for account coverage
“Before I import this account research coverage table into our pipeline, can you run a duplicate key report and a base-100 series on it using researched_accounts, with row 0 as the base — I have around 80 rows across two company groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of account research coverage records and need both a duplicate key audit and a base-100 normalized time series in a single low-cost call ($0.01 USDC). It is ideal for pre-pipeline data quality checks on CRM or sales research data where no external lookups or predictions are needed — all analysis runs locally on your 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 validation errors
- base_index out of range for the supplied row count
- Null numeric values in the selected field may produce incomplete base-100 series
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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