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Commercial Proposal Comparisons — Base-100 Series & Keyed Dataset Comparison
x402
Commercial Proposal Comparisons — Base-100 Series & Keyed Dataset Comparison 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 two analytical reports on commercial proposal data: a Base-100 index series and a keyed dataset comparison for quoted_amount or delivery_days across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commercial proposal comparisons — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison 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 index series showing each record's metric value normalized relative to a baseline, and (2) a keyed dataset comparison aligning rows from the primary and secondary datasets by row_id to highlight differences in the selected field (quoted_amount or delivery_days) across company groups and dates. No external data is fetched; all analysis uses the supplied rows only.
Example use cases
Vendor bid price benchmarking
“I've got two rounds of RFP responses from three suppliers across October — can you index all their quoted_amount values to Base-100 and run a keyed comparison between the two rounds so I can see which vendor improved or worsened their pricing?”
Delivery time comparison across suppliers
“Compare delivery_days from our shortlisted vendors in two proposal batches using a Base-100 series — I want to see which company group got faster or slower between submissions, keyed by row ID.”
Procurement proposal trend analysis
“I have two datasets of commercial proposals with quoted amounts and delivery days for groups alpha and beta — please run the Base-100 indexing and keyed dataset comparison on quoted_amount so I can present a normalized trend to my procurement committee.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-24-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalize and compare commercial proposal metrics (pricing or delivery timelines) across vendor groups using a Base-100 indexing approach combined with a row-keyed side-by-side comparison. It is ideal for procurement analytics where two datasets (e.g. two bidding rounds) need to be aligned and benchmarked without any external data lookup or prediction. Best when you have up to 200 structured proposal records and want two distinct analytical perspectives in a single low-cost call.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- Null values in selected field may affect index calculation
- Mismatched row_ids between primary and secondary datasets reduce keyed comparison coverage
- Field value out of allowed numeric range — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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