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Commercial Proposal Comparisons — Base-100 Series & Two-Measure Correlation
x402
Commercial Proposal Comparisons — Base-100 Series & Two-Measure Correlation 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).
Generates a Base-100 index series and a two-measure correlation report for commercial proposal data (quoted amount and delivery days) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation for supplied commercial proposal comparisons records (quoted_amount, delivery_days). 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 analytical reports: (1) a Base-100 normalized index series for the selected measure (quoted_amount or delivery_days) anchored at the specified base row, enabling proportional comparison across rows; and (2) a two-measure correlation report quantifying the statistical relationship between quoted_amount and delivery_days across all supplied rows. No external data sources are used; all computation is performed on the supplied rows.
Example use cases
Vendor bid cost normalization
“I'm evaluating bids from three suppliers for a hardware purchase — here are 12 rows with company names, submission dates, quoted amounts, and delivery days. Can you produce a Base-100 index series for quoted_amount starting from the first row, and also show me how strongly quoted amount correlates with delivery days?”
Procurement tender benchmarking
“We received proposals from Group A and Group B across 8 dates in Q1 2025 with varying quoted_amount and delivery_days values. Index-normalize the quoted amounts to a base of 100 starting at row index 0 and give me a two-measure correlation analysis so I can see if faster delivery tends to cost more.”
Supplier delivery vs. cost correlation
“I've got 20 rows of commercial proposal data — each has a row ID, company group, date, quoted price, and delivery time in days. Run a Base-100 series on delivery_days from row 0 and compute the correlation between quoted_amount and delivery_days so I can compare which vendors offer competitive delivery without inflating costs.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalize commercial proposal or procurement bid data to a base-100 index series and simultaneously obtain a correlation between quoted price and delivery time, all within a single API call covering up to 200 rows. It is purpose-built for vendor/supplier comparison workflows where both cost normalization and cost-vs-delivery correlation are needed together without external lookups or predictions.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) — schema validation failure
- base_index out of range (must be 0–199 and within row count) — error
- Date field not matching YYYY-MM-DD pattern — validation failure
- Null values in both measures may reduce correlation reliability
- Payment not processed — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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