buildvsbuy-ai.vercel.app
BuildVsBuy.ai — a WebMCP decision canvas. Humans and browser-integrated agents co-manipulate one structured build-vs-buy model (Auth or AI Web Scraping) via typed tools, not DOM scraping.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 1 · Act 8 · Transact 0 · Score: Not yet scored
Tool inspector
solve_winning_conditions
Sensitivity analysis: what must change for target_option_id to beat the current math leader? NOT for vibe-coding / prototype-speed / "does that change who you'd recommend" — those are set_priority_weight(time_to_prototype, 9 or 10) which auto-reranks. On the auth preset, this tool is REFUSED until a real set_priority_weight has run this session. After priorities are set: computes flip_levers (0-10, step 0.1), score_gap, and suggested_context_shifts. Never assert flip-lever claims without calling this tool.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
target_option_id |
string | yes | Option id that should win. |
Raw JSON schema
{
"type": "object",
"properties": {
"target_option_id": {
"type": "string",
"description": "Option id that should win."
}
},
"required": [
"target_option_id"
],
"additionalProperties": false
}
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