{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "noisyxl-brier--score-own-model-against-sealed-questions",
 "repo": "Noisyxl/brier",
 "repo_url": "https://github.com/Noisyxl/brier",
 "repo_slug": "noisyxl-brier",
 "title": "Put your own model on a sealed forecasting board",
 "page_title": "How to put your own model on a sealed forecasting board with Brier",
 "summary": "Add an API key so your model answers sealed questions and gets graded alongside the built-in panel.",
 "who": "A team evaluating whether an LLM's stated probabilities deserve trust before using it in a decision workflow.",
 "problem": "Model answers about future events are rarely recorded before the outcome, so their accuracy cannot be checked fairly.",
 "outcome": "Your model's sealed answers appear on the same scoreboard as the four built-in forecasters, graded the same way after questions resolve.",
 "steps": [
  "Clone the repo and install it so the Brier command is available.",
  "Add your model's API key to a .env file in the project root, as the README describes. (inferred, check the README)",
  "Run `brier ask` to pose a question with its date, source and test, then let the panel answer. (inferred, check the README)",
  "Wait until the resolution date passes, then run `npx brier score` to see your model's row."
 ],
 "agent_prompt": "Work in the Noisyxl/brier repo and add the API key for <model-provider> to .env. Ask one question with a future resolution date, wait for it to settle, and run `npx brier score`. Verify that <model-name> appears on the scoreboard with a Brier score before reporting.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "Questions only settle after their resolution date, so a meaningful score requires waiting weeks and building up a set of resolved questions.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "html",
 "requirements": [
  "A terminal with Node.js and npx, since the README's commands run through npx",
  "An API key in a .env file, only if you want your own models on the board",
  "A wallet you control, only if you want to anchor the head hash on Robinhood Chain"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "Your model API key is stored in a local .env file, so keep that file out of version control and never paste the key into shared logs."
  }
 ],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/noisyxl-brier/score-own-model-against-sealed-questions/",
 "md": "https://dedupedai.com/use-cases/noisyxl-brier/score-own-model-against-sealed-questions/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/noisyxl-brier--score-own-model-against-sealed-questions.json",
 "api_version": "v1"
}