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AI eval results need receipts

Every published AI benchmark number is an unverifiable claim — no mainstream eval
framework signs its results. proofbundle
turns an eval result into one signed, tamper-evident, offline-verifiable receipt:
Ed25519 + RFC 6962 Merkle, one JSON file, no server. On PyPI with attested releases
(PEP 740 + Sigstore transparency log).

A receipt proves who signed these exact bytes and that nothing changed since
deliberately not that the number is true. That honest boundary is the product.

What your sponsorship funds

  • Maintenance of the ~600-line auditable trusted core (mutation-gated tests, fuzzing)
  • An external security review — the single most important next step for a trust tool
  • The Inspect AI integration, so any eval run can emit a receipt with one hook

Try it in 60 seconds: pip install "proofbundle[eval]" && proofbundle demo

@b7n0de

Covers an external security review of the ~600-line trusted core within 12 months.

Featured work

  1. b7n0de/proofbundle

    Offline cryptographic receipts for AI evaluation results — Ed25519 + RFC 6962 Merkle + optional SD-JWT. Integrity, not truth

    Python 2

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Logo + link in the README sponsors section. You fund the external security review of the ~600-line trusted core.