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Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Category Frequencies
x402
Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three offline analytical reports (record quality audit, string normalisation, and category frequency counts) on up to 200 rows of commercial proposal comparison data containing quoted amounts and delivery days.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied commercial proposal comparisons records (quoted_amount, delivery_days). 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 returned together: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates across the proposal rows; (2) normalised string representations of text fields like company_group; (3) a category frequency table showing how many rows belong to each company group, all computed locally without external lookups.
Example use cases
Vendor bid data quality check
“I've collected 120 commercial proposals from different vendors with quoted prices and delivery timelines — can you audit the record quality, normalise the company name strings, and show me how frequently each supplier group appears?”
Procurement analyst string cleanup
“Our proposal comparison spreadsheet has inconsistent company group labels and some missing quoted amounts. Can you run string normalisation and a record quality audit on these 80 rows so we know what needs fixing before we score the bids?”
Category frequency summary for reporting
“I need to know how many proposals we received per company group from this dataset of 60 rows, along with a quality audit and string normalisation pass — can you generate all three reports from the data I'm sending?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of commercial proposal comparison records (up to 200 rows) and need three lightweight, offline analytical reports in a single $0.01 call — specifically record quality auditing, string normalisation, and category frequency counting — with no need for external data, predictions, or real-time lookups. It is ideal for procurement data cleaning and summarisation workflows where speed and cost matter.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected by schema
- Numeric fields outside the allowed range cause schema validation failure
- Empty rows array (minItems:1 violated) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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