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Team Weighted Decision Matrix
x402
Team Weighted Decision Matrix is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-01).
Scores multiple options against weighted criteria to produce a ranked comparison, tailored for team decision-making workflows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Team Weighted decision matrix: Score options against weighted criteria. Tailored for team workflows.
Output
Returns a weighted score for each option calculated by multiplying each criterion's score by its weight and summing the results, along with a ranked comparison of all options so the team can identify the highest-scoring choice.
Example use cases
Vendor selection for procurement team
“Our procurement team is evaluating three vendors — Acme, BrightSource, and CoreSupply — on price (weight 3), reliability (weight 2), and lead time (weight 1). Acme scores 9, 6, 5; BrightSource scores 6, 9, 7; CoreSupply scores 7, 7, 8. Run a weighted decision matrix so we can see which vendor wins overall.”
Technology stack comparison for engineering team
“My engineering team needs to choose between React, Vue, and Angular for our new project. We're weighting ecosystem size at 3, learning curve at 2, and performance at 2. React scores 9, 7, 8; Vue scores 7, 9, 7; Angular scores 6, 5, 9. Can you score these options with a weighted decision matrix?”
Project prioritization for product team
“Our product team has three features to prioritize — onboarding redesign, API v2, and mobile app — and we want to weight business impact at 4, effort at 2, and customer demand at 3. Onboarding scores 8, 5, 9; API v2 scores 7, 7, 6; Mobile app scores 6, 8, 8. Run the weighted matrix and rank them for us.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/decision-matrix-team?utm_source=zero.xyzWhen to prefer
Choose this endpoint when a team needs a structured, quantitative method to compare multiple options across importance-weighted criteria — especially in collaborative or group decision contexts. Prefer it over simple ranking when criteria have different importance levels and a traceable, defensible scoring process is needed.
Side effects
- Mismatched array lengths between options scores and criteria weights returns an error
- Empty options or criteria arrays may return no results or an error
- Non-numeric scores or weights cause computation failure
- Missing required fields default to schema defaults (options A/B with cost/speed criteria)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| options | array | |
| criteria | array |
Tags
x402
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