RedCrown

Localized model benchmarking with receipts. Run head-to-head evals across every model, provider, and config on your own data, locally, then turn the results into ranked, receipted proof you can hand to a client, a CFO, or a regulator.

Agents and harnesses run benchmarks for free. RedCrown is the neutral layer that turns them into a decision you can defend, and keeps re-proving it as prices and models change. Run anywhere, prove here.

Install

pip install redcrown

Python 3.11+. The CLI has a small dependency footprint; server extras (pip install "redcrown[server]") are only needed if you run the API yourself.

Quickstart

# 1. build a dataset (the public PriMock57 clinical-transcription corpus, or bring your own)
redcrown build-dataset primock57 --out exp.json

# 2. run the fan-out locally, on your machine, with your keys
redcrown eval exp.json --report-json out.json

# 3. (optional) sign in once per machine via device-code OAuth
redcrown login

# 4. (optional) push the results to a shareable, no-login proof page
redcrown push out.json --proof-link

redcrown eval ranks every config on cost, quality, and latency against your own ground truth and names the cheapest one that clears your quality bar. Example:

RANKED  transcription · cheapest config at or above your 0.85 quality bar
  deepgram · nova-3-medical    quality 0.883    $294/mo   winner, 40% cheaper
  aws · transcribe-standard    quality 0.879    $487/mo   incumbent
  openai · whisper-1           quality 0.820    $122/mo   below your bar

That run is published as a live, no-login proof page: https://app.redcrown.ai/proof/O9iYVdWuaYjaL6mnImeIsD6TB1W_S6h4Frbx04YqAYQ

Free by construction

Evals run on your machine with your own provider keys, so RedCrown never sees your raw data and the run costs you nothing beyond your own inference. Only the results you choose to push become a cloud proof. --no-receipts keeps raw outputs local and uploads aggregates only.

Already ran an eval elsewhere?

You do not have to run anything through RedCrown to get a proof. Take the results from an eval you already ran, as a JSON in the RedCrown results format, and push them:

redcrown push results.json --proof-link

You get the same ranked, receipted, shareable report. The fastest path, with no install, is the web app at https://app.redcrown.ai/upload.

For coding agents (MCP)

Coding agents (Claude, Cursor, Codex) drive the whole loop over the hosted MCP server at mcp.redcrown.ai: scaffold an experiment, run it, review outputs, and mint a proof. The server is open source: https://github.com/RedCrown-ai/redcrown-mcp

Links

• Site: https://redcrown.ai
• App: https://app.redcrown.ai
• MCP server (open source): https://github.com/RedCrown-ai/redcrown-mcp

License

Proprietary. (c) Method Data Science LLC.