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Weighted Research Opportunity Comparison
x402
Weighted Research Opportunity Comparison is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.100012/call, status unknown (last checked 2026-10-20).
Ranks research opportunities against user-defined criteria using deterministic supplied-score weighting, with additive weight sensitivity analysis one criterion at a time.
Price / call$0.100012
Success—
StatusUnknown
How this service works
Deterministic supplied-score ranking and one-criterion-at-a-time additive weight sensitivity, not research prediction. New modular adapter: retained result recovery for 24 hours, minimal receipt metadata for 90 days. Existing live route unchanged.
Output
Returns a deterministic ranked list of research options with weighted scores per criterion, plus a one-criterion-at-a-time additive sensitivity analysis showing how rankings shift when each criterion's weight is adjusted by the specified delta. Results are retained for 24 hours; minimal receipt metadata persists for 90 days.
Example use cases
Prioritizing R&D funding directions
“I have 8 research directions and 4 criteria — novelty, commercial potential, time-to-market, and resource cost. Rank them using public data and run a sensitivity delta of 1000 so I can see which criterion most changes the winner.”
Comparing grant proposal topics
“I need to choose between 4 grant proposal topics scored on scientific merit, feasibility, and societal impact. Use synthetic data, apply a sensitivity delta of 200, and tell me which topic ranks best and how stable that ranking is.”
Evaluating academic collaboration opportunities
“Compare 6 potential academic collaboration opportunities on 5 criteria — publication potential, network value, funding alignment, effort required, and timeline — with public data and a sensitivity delta of 750.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/research/opportunity-comparison?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a transparent, deterministic, auditable ranking of research opportunities against explicit weighted criteria — especially when you want to understand how sensitive the ranking is to individual criterion weights. It is not a predictive or ML-based tool, making it preferable when reproducibility and explainability of scoring logic are required. Best suited for structured multi-criteria decision analysis over up to 16 options and 12 criteria.
Side effects
- Fewer than 1 or more than 16 options provided — validation error
- Fewer than 1 or more than 12 criteria provided — validation error
- sensitivityDelta outside 0–10000 range — schema validation failure
- Invalid dataClass value (not 'public' or 'synthetic') — enum validation error
- Payment not confirmed — x402 payment required response
- Malformed request body — 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| options | array | |
| criteria | array | |
| dataClass | string | |
| sensitivityDelta | integer |
Tags
x402
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