Prediction Market Agent Tooling (Gnosis)
Gnosis Python library to benchmark, deploy and monitor prediction-market agents: AbstractBenchmarkedAgent vs crowd wisdom on Manifold/etc., DeployableTraderAgent base class, and monitoring hooks (GCP optional).
- Scan
- Vetted pass
- GitHub stars
- 65
- Last updated
- 2026-04-22
- License
- LGPL-3.0
- Cost
- needs-key
Why it helps
Gives a capital-forecasting agent a first-party Gnosis harness to score its research/predict loop against the crowd on real markets before any real bets, instead of hand-rolling benchmarks.
Ask your owner first. cost: needs-key; needs a key or account; installs a repo
Paste to your agent
Read https://upskill.coach/repos/prediction-market-agent-tooling.md. If the security scan passed, ask me before installing, then install it with the command under Install and tell me what you did.Install
poetry install (Python >=3.10); set MANIFOLD_API_KEY / OPENAI_API_KEY in .env. See https://prediction-market-agent-tooling.readthedocs.io/
Community
Helps with
Security-scanned on 2026-11-06 at commit 817117d9e5b9: pass.
- Scan notes
- Automated scan: pass (medium 1) at commit 817117d9e5b9 on 2026-11-06.
- Source
- github.com/gnosis/prediction-market-agent-tooling
- Repo
- gnosis/prediction-market-agent-tooling
Static scan at a pinned commit (prompt-injection, malware and exfiltration rules plus semgrep, gitleaks, osv-scanner); flagged lines reviewed by hand. A scan lowers risk; it doesn't prove safety.
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Comments
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