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cognis-digital/claimtrace

CLAIMTRACE

CLAIMTRACE

Misinformation provenance tracer — earliest-known appearance graph

PyPI CI License: COCL 1.0 Suite

Information Integrity — provenance, synthetic-media, and narrative analysis.

pip install cognis-claimtrace
claimtrace scan .            # → prioritized findings in seconds

Contents

Why claimtrace?

Misinformation provenance tracer — earliest-known appearance graph — without standing up heavyweight infrastructure.

claimtrace is single-purpose, scriptable, and self-hostable: point it at a target, get prioritized results in the format your workflow already speaks (table · JSON · SARIF), gate CI on it, and let agents drive it over MCP.

Features

  • ✅ Parse Observations
  • ✅ Build Graph
  • ✅ Trace
  • ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
  • ✅ Ports in Python, JavaScript, Go, and Rust (ports/)

Quick start

pip install cognis-claimtrace
claimtrace --version
claimtrace scan .                       # scan current project
claimtrace scan . --format json         # machine-readable
claimtrace scan . --fail-on high        # CI gate (non-zero exit)

Example

$ claimtrace scan .
  [HIGH    ] CLA-001  example finding             (./src/app.py)
  [MEDIUM  ] CLA-002  another signal              (./config.yaml)

  2 findings · risk score 5 · 38ms

Architecture

flowchart LR
  A[Input: file / dir / API] --> B[Collectors]
  B --> C[Rules / Analyzers]
  C --> D[Scorer]
  D --> E{Reporters}
  E --> F[Table]
  E --> G[JSON / SARIF]
  E --> H[MCP tool -. drives .-> AI agents]
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Use it from any AI stack

claimtrace is interoperable with every popular way of using AI:

  • MCP serverclaimtrace mcp (Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet)
  • OpenAI-compatible / JSON — pipe claimtrace scan . --format json into any agent or LLM
  • LangChain · CrewAI · AutoGen · LlamaIndex — wrap the CLI/JSON as a tool in one line
  • CI / scripts — exit codes + SARIF for non-AI pipelines

How it compares

Cognis claimtrace typical tools
Self-hostable, no account varies
Single command, zero config ⚠️
JSON + SARIF for CI varies
MCP-native (AI agents)
Polyglot ports (JS/Go/Rust)
Open license ✅ COCL varies

Integrations

Pipes into your stack: SARIF for code-scanning, JSON for anything, an MCP server (claimtrace mcp) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See docs/INTEGRATIONS.md.

Install — every way, every platform

pip install "git+https://github.com/cognis-digital/claimtrace.git"    # pip (works today)
pipx install "git+https://github.com/cognis-digital/claimtrace.git"   # isolated CLI
uv tool install "git+https://github.com/cognis-digital/claimtrace.git" # uv
pip install cognis-claimtrace                                          # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/claimtrace:latest --help        # Docker
brew install cognis-digital/tap/claimtrace                             # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/claimtrace/main/install.sh | sh
Linux macOS Windows Docker Cloud
scripts/setup-linux.sh scripts/setup-macos.sh scripts/setup-windows.ps1 docker run ghcr.io/cognis-digital/claimtrace DEPLOY.md (AWS/Azure/GCP/k8s)

Related Cognis tools

  • deepcheck — Lightweight synthetic-media detector with C2PA validation
  • electionlens — Influence-operations pattern monitor for election periods
  • narrativediff — News bias & framing diff across 50+ outlets per event

Explore the suite → 🗂️ all 170+ tools · ⭐ awesome-cognis · 🔗 cognis-sources · 🤖 uncensored-fleet · 🧠 hermes

Contributing

PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see CONTRIBUTING.md and SECURITY.md.

⭐ If claimtrace saved you time, star it — it genuinely helps others find it.

License

Source-available under the Cognis Open Collaboration License (COCL) v1.0 — free for personal, internal-evaluation, research, and educational use; commercial / production use requires a license (licensing@cognis.digital). See LICENSE.


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