Metadata-Version: 2.4
Name: robustrep
Version: 0.1.0
Summary: Robust, transport-agnostic reputation scoring for AI agents
Author: Dong Wang
License: Apache-2.0
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas<4,>=2.0
Requires-Dist: numpy>=1.24
Requires-Dist: eth-abi>=5.0
Requires-Dist: eth-hash[pycryptodome]>=0.5
Requires-Dist: requests>=2.31
Requires-Dist: urllib3>=2
Requires-Dist: tabulate>=0.9
Requires-Dist: matplotlib>=3.7
Requires-Dist: typer>=0.12
Provides-Extra: dev
Requires-Dist: pytest>=8; extra == "dev"
Requires-Dist: pytest-cov>=5; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: twine; extra == "dev"
Dynamic: license-file

# robustrep

Robust, transport-agnostic reputation scoring for AI agents.

Feed it any table of `(rater, ratee, value, scale, tag, ts, evidence_uri, source)` and it returns a
robust score per ratee that resists Sybil raters and evidence-free ratings. Ships with a Base-chain
ERC-8004 adapter and a reproducible report.

Status: v0.1 in development. See `docs/` in the parent repo for the design.
