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Company Record Completeness Analyzer — Quality Audit, String Normalisation & Base-100 Series
x402
Company Record Completeness Analyzer — Quality Audit, String Normalisation & 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 three analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 company record completeness data rows containing populated_fields and required_fields metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied company record completeness records (populated_fields, required_fields). 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 analytical reports covering: (1) a record quality audit flagging anomalies and completeness issues in the supplied rows, (2) a string normalisation report standardising group and date labels, and (3) a base-100 indexed series for the selected field (populated_fields or required_fields) anchored at the specified base_index row. All computed locally from supplied data with no external lookups.
Example use cases
CRM data hygiene audit across groups
“I have our CRM export with 120 company records, each tagged with a company_group, a date, and counts of how many fields are populated versus required. Can you run a quality audit, string normalisation check, and base-100 index report on all of them using populated_fields as the target field starting from index 0?”
Benchmarking completeness trends over time
“We track company record completeness weekly — I have 80 rows covering two business units from January to March, each with populated_fields and required_fields counts. Can you produce a base-100 series and quality audit so I can see how completeness has trended, anchored to the first row?”
Pre-migration data quality check
“Before we migrate our company database, I need to audit 150 company records for record quality and normalisation issues — each row has a group label, a date, and the number of populated vs required fields. Please run all three reports on required_fields starting at base index 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.01) batch analytical pass over up to 200 company record completeness rows — specifically when you want three complementary views (quality audit, normalisation, and base-100 indexing) in a single call without any external data lookup or live enrichment. Ideal for CRM data hygiene checks, pre-migration audits, or periodic completeness monitoring where the data is already in hand.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) on any row — schema validation failure
- Date strings not matching YYYY-MM-DD pattern — rejected by pattern validation
- base_index out of range (0–199) — error response
- Non-numeric or out-of-range values for populated_fields or required_fields — validation rejection
- Payment not submitted or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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