prediction-market-agent-tooling — Agent Tool by gnosis

by gnosis · Agent Tool · ★ 56

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About prediction-market-agent-tooling

Prediction Market Agent Tooling Tooling for benchmarking, deploying and monitoring agents for prediction market applications. Setup Install the project dependencies with , using Python =3.10: Create a file in the root of the repo with the following variables: Deploying and monitoring agents using GCP requires that you set up the gcloud CLI (see here for installation instructions, and use to authorize.) Benchmarking Create a benchmarkable agent by subclassing the base class, and plug in your agent's research and prediction functions into the method. Use the class to compare your agent's predictions vs. the 'wisdom of the crowd' on a set of markets from your chosen prediction market platform. For example: python import predictionmarketagenttooling.benchmark.benchmark as bm from predictionmarketagenttooling.benchmark.agents import RandomAgent from predictionmarketagenttooling.markets.markettype import MarketType from predictionmarketagenttooling.markets.markets import getbinarymarkets benchmarker = bm.Benchmarker( markets=getbinarymarkets(limit=10, markettype=MarketType.MANIFOLD), agents=[RandomAgent(agentname="arandomagen

agentgnosisprediction-marketweb3

Quick Facts

Stars56
Forks13
LanguagePython
CategoryAgent Tool
LicenseLGPL-3.0
Quality Score71.5111657930856/100
Open Issues116
Last Updated2026-04-22
Created2024-02-08
Platformsbrowser, python
Est. Tokens~733k

Compatible Skills

These tools work well together with prediction-market-agent-tooling for enhanced workflows:

  • mcp_massive — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • polymarket-mcp-server — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • ai-trader — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is prediction-market-agent-tooling?

prediction-market-agent-tooling is Tools to benchmark, deploy and monitor prediction market agents.. It is categorized as a Agent Tool with 56 GitHub stars.

What programming language is prediction-market-agent-tooling written in?

prediction-market-agent-tooling is primarily written in Python. It covers topics such as agent, gnosis, prediction-market.

How do I install or use prediction-market-agent-tooling?

You can find installation instructions and usage details in the prediction-market-agent-tooling GitHub repository at github.com/gnosis/prediction-market-agent-tooling. The project has 56 stars and 13 forks, indicating an active community.

What license does prediction-market-agent-tooling use?

prediction-market-agent-tooling is released under the LGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to prediction-market-agent-tooling?

The top alternatives to prediction-market-agent-tooling on Agent Skills Hub include ClaudeR, claudex, ai-trading-agent-gemini. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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