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oracle3-prediction-market-agent
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oracle3-prediction-market-agent

Active·★ 498·Apache-2.0·Updated 2026-10-12

Oracle3 is an open-source paper-trading engine and MCP server designed for prediction markets. It identifies arbitrage opportunities by analyzing logical relations and fee structures across multiple venues, enabling rule-based and model-driven simulated trading under risk limits.

oracle3-prediction-market-agent sits in the Workflow Automation category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Maps logical relations between event contracts across prediction market venues.. A representative use case is Automated identification and paper-trading of arbitrage opportunities in prediction markets.. The listed license is Apache-2.0. GitHub stars are currently 493. Relevant tags include Prediction Markets, Arbitrage.

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This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#Prediction Markets#Arbitrage#Algorithmic Trading#Quantitative Finance#Multi-Agent Systems#Python#Trading Engine
$ Install
$ pip install oracle3
↗ Visit site★ GitHub
01

Features

01Maps logical relations between event contracts across prediction market venues.
02Analyzes arbitrage opportunities by checking quoted prices against probability axioms, accounting for venue-specific fees.
03Performs paper trading of identified profitable baskets under user-defined risk, drawdown, and exposure limits.
04Offers comprehensive agent interfaces including an MCP server with 13 tools, JSON CLI, and Python API for integration.
02

Why choose it

+Maps logical relations between event contracts across prediction market venues.
+Analyzes arbitrage opportunities by checking quoted prices against probability axioms, accounting for venue-specific fees.
+Automated identification and paper-trading of arbitrage opportunities in prediction markets.
+Supports 4 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Python
Runtime
Verified via docs
Kalshi
Prediction Market Venue
Verified via docs
Polymarket
Prediction Market Venue
Verified via docs
MCP Server
Agent Protocol
Verified via docs
05

Quick start

1
$ pip install oracle3
06

Use cases

↳Automated identification and paper-trading of arbitrage opportunities in prediction markets.
↳Development and backtesting of quantitative trading strategies based on probabilistic relations and market fees.
↳Research into pricing models, fee impacts, and market inefficiencies across multiple prediction market venues.
↳Integrating prediction market analysis and paper trading capabilities into AI agent workflows via MCP server or CLI.
07

Alternatives

⚡Top VS:
VSpolymarket-mcp-server★717→VSdagster★16.3k→VSoreilly-ai-agents★322→

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YichengYang-Ethan /
oracle3-prediction-market-agent
↗

Oracle3: paper-trading engine and MCP server for prediction markets (Kalshi, Polymarket). Checks no-arbitrage constraints across related event contracts net of each venue's fees, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.

498Apache-2.0
Last commit1w ago
StatusActive
CategoryWorkflow Automation
Links
Documentation↗Discussion↗Issues↗Releases↗
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