anti-lie
An LLM Claim Auditing Layer with truth gradients for verifying factual claims
GraphCanon updated Sep 9, 2026 · GitHub synced Sep 9, 2026
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Decision brief
Anti-Lie offers an LLM claim auditing layer using T1-T7 truth gradients to achieve high business effectiveness on fact-checking benchmarks.
Good fit when
- When you require high accuracy in verifying factual claims made by LLMs, achieving a reported 98.1% effectiveness on benchmark testing with LiarBench v0.2
- If your environment supports Python and requires seamless integration of an audit tool into agent runtimes or open-source toolchains
Avoid when
- When the target platform is not Linux or macOS, as current service definitions are specific to these operating systems (systemd for Linux, launchd for macOS)
- If your project does not require an outbound hook bundle including both a Python verifier and a Node.js shadow worker
- Pricing:
- freemium - The software is free (open source). However, additional compliance documents may incur costs or delays.
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (121d since push)
- As of Sep 9, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 9, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install anti-lie PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Anti-Lie provides a verification service that can audit and grade the factual accuracy of LLM outputs using T1-T7 truth gradients, targeting 98.1% business effectiveness on LiarBench v0.2.
Capability facts
- Languages
- python
Source: github.language · Sep 9, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 9, 2026)
as an OpenClaw outbound hook bundle that includes a Python verifier service, a Node.js shadow worker, and platform-specific service definitions for Linux (systemd) anSource link
Source: README excerpt (regex_v1, Sep 9, 2026)
Anti-Lie is distributed as an OpenClaw outbound hook bundle that includes a Python verifier service, a Node.js shadow worker, and platform-specific service definitSource link
Tags
README
Quick Start Anti Lie is distributed as an OpenClaw outbound hook bundle that includes a Python verifier service, a Node.js shadow worker, and platform specific service definitions for Linux (systemd) and macOS (launchd). ```bash git clone https://github.com/lc198707/anti lie.git...
For agents
This page has a .md twin and JSON over the API.