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Company Record Completeness — Duplicate Key Report + Base-100 Series
x402
Company Record Completeness — 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 2026-10-19).
Generates a duplicate key report and a base-100 indexed series from supplied company record completeness data (populated_fields, required_fields) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series for supplied company record completeness records (populated_fields, required_fields). 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 duplicate key report identifying any repeated row_id or company_group values across the supplied rows, and (2) a base-100 indexed series for the selected field (populated_fields or required_fields) anchored to the specified base_index row. Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Detect duplicate records in CRM export
“I exported our CRM company records and want to check if any row IDs or company groups appear more than once — here's the dataset with populated_fields and required_fields per row. Can you run a duplicate key report on the populated_fields column with base index 0?”
Benchmark completeness across reporting periods
“We track how many required fields are populated each day per company group. Can you index our required_fields data to a base-100 scale starting from row 0 and also flag any duplicate keys? I have 50 rows covering October.”
Data quality audit before pipeline ingestion
“Before we load these 120 company records into our data warehouse, can you check for duplicate row IDs and produce a base-100 series on populated_fields so we can see which groups are lagging? Use row index 0 as the base.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — duplicate key detection and base-100 normalization — on company record completeness data you already have locally, without needing live data lookups, predictions, or external enrichment. It is cost-effective at $0.01 for both reports together and handles up to 200 rows per call. Prefer alternatives if you need time-series trailing means, adjacent row deltas, or numeric ordering operations, which are covered by sibling endpoints on the same platform.
Side effects
- Fewer than 1 row supplied — request rejected (minItems:1)
- More than 200 rows supplied — request rejected (maxItems:200)
- Invalid date format (not YYYY-MM-DD) — schema validation error
- row_id missing or empty — required field error
- populated_fields or required_fields outside allowed numeric range — validation error
- base_index out of range (0–199 or beyond row count) — computation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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