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Commercial Proposal Comparisons — Record Quality Audit, String Normalisation & Exact Row Deduplication
x402
Commercial Proposal Comparisons — Record Quality Audit, String Normalisation & Exact Row Deduplication 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).
Audits, normalises, and deduplicates up to 200 commercial proposal comparison records (quoted_amount, delivery_days), returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 reports: (1) a record quality audit flagging missing, malformed, or out-of-range values in quoted_amount and delivery_days; (2) a string normalisation report showing how text fields like company_group were standardised; and (3) an exact row deduplication report identifying and removing fully duplicate rows across up to 200 input records.
Example use cases
Procurement team deduplicating vendor quotes
“I have 120 vendor proposal rows with company_group, quoted_amount, and delivery_days fields — can you run an exact deduplication check and string normalisation on them so I can clean up the dataset before presenting to the board?”
Analyst auditing proposal data quality
“Please audit the data quality of these 80 commercial proposal comparison records I've uploaded — I need to know which rows have missing or malformed quoted_amount or delivery_days values, and get a full quality report.”
Automated pipeline cleaning sourced RFP responses
“We just pulled 200 RFP responses into a dataset with row_id, company_group, date, quoted_amount, and delivery_days — run the record quality audit, string normalisation, and exact deduplication on all of them and give me the three reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit data quality, normalise string fields, and deduplicate exact duplicate rows in commercial proposal comparison data (quoted_amount, delivery_days) in a single call. It is purpose-built for procurement and vendor comparison datasets of up to 200 rows and returns three distinct reports for $0.01 USDC. Prefer it over general-purpose data tools when your data is structured around proposal comparisons and you want all three cleaning reports in one low-cost batch operation without external lookups or predictions.
Side effects
- Input array exceeds 200 rows — request rejected
- Rows missing required fields (row_id, date, company_group) — validation error returned
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range (±1 trillion) — rejected
- Empty rows array (minItems:1 not satisfied) — error response
- Payment of 0.01 USDC not completed — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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