Polymarket AI Market Suggestor

AI-native workflow that transforms real-time trends, news, and existing Polymarket markets into actionable, publish-ready market suggestions. Built for research teams, traders, DAO governance desks, and community curators who want to discover “what market should Polymarket list next?” using a mix of LLM reasoning, sentiment signals, and overlap checks.

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Why PolySuggest AI?

• Trend-aware ideation – Combines live NewsAPI + Twitter sentiment to surface emerging narratives.
• Crypto momentum feed – Adds CoinGecko trending tokens as signals for on-chain market discovery.
• Overlap protection – Uses Polymarket Gamma API to ensure suggestions are novel and not already live.
• LLM-powered reasoning – GPT-4o (or fallback heuristic) produces clear resolution rules, YES/NO framing, and references.
• Explainable output – Each idea includes rationale, confidence scoring, and tagged metadata for filtering.
• Local knowledge base – SQLite bundle store captures every run for history, analytics, and dashboards.
• Ready for production – Typer CLI, structured logging, Markdown/JSON reporting, tests, Docker-friendly dependency set.

ℹ️ The AI core and workflow are inspired by leading open-source prediction market agents such as Prediction-Market-AggregationAgent-system while focusing on generative market ideation instead of trading.

Architecture Overview

TrendScanner (NewsAPI, Twitter API)
        │
        ▼
Sentiment & Keyword signals ────────┐
                                    │
PolymarketClient (Gamma API)        │
        │                           │
        ▼                           │
Existing market snapshots ──────────┘
        │
        ▼
SuggestionEngine (LangChain + GPT-4o)
        │
        ▼
SuggestionBundle (Pydantic)
        │
        ├─ Storage (SQLite) — durable bundle history + analytics
        ├─ CLI (Typer + Rich) — interactive reports
        └─ Reporting utils — JSON / Markdown / history summaries

• trend_scanner.py — pulls hot news and tweets with VADER sentiment.
• trend_scanner.py (crypto) — optional CoinGecko trending feed for DeFi narratives.
• polymarket_client.py — fetches trending/current markets via Gamma API.
• ai.py — formats context + prompts GPT-4o (falls back if no API key).
• orchestrator.py — runs the end-to-end pipeline and deduplicates output.
• storage.py — SQLite-backed bundle persistence.
• analytics.py — portfolio-wide stats on past runs.
• reporting.py — exports Markdown dashboards and history summaries.
• cli.py — Typer command group: suggest and summarize.

Quick Start

git clone https://github.com/your-org/polymarket-ai-market-suggestor.git
cd polymarket-ai-market-suggestor
python -m venv .venv && source .venv/bin/activate  # or use uv/pdm
pip install -r requirements.txt
cp ENV.sample .env
# populate .env with OpenAI / NewsAPI / Twitter keys

Generate Suggestions

polysuggest suggest "AI safety regulation" --keywords "AI,regulation,legislation" --count 4 \
  --markdown reports/ai-safety.md --output reports/ai-safety.json

Sample console output:

┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃ Title                                         ┃ Confidence ┃ Resolution Source          ┃ Tags          ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ Will the EU enact the AI Act before Q4 2025?  │ 0.72       │ Official EU Parliament DB  │ ai-policy,... │
│ ...                                           │ ...        │ ...                        │ ...           │
└───────────────────────────────────────────────┴────────────┴────────────────────────────┴───────────────┘

Outputs:

• reports/ai-safety.json – structured SuggestionBundle.
• reports/ai-safety.md – Markdown one-pager for sharing.
• SQLite bundle store (default data/bundles.db) captures a full copy for analytics.

Summarize History

polysuggest summarize reports/

Displays a Rich table of prior suggestion runs (topic, timestamp, top pick, confidence).

To use the built-in storage instead:

polysuggest summarize

Inspect & Analyze

polysuggest show 3        # Detailed view for run #3
polysuggest insights      # Aggregated stats (top tags, avg confidence, sentiment)

Configuration

Environment variables (copy ENV.sample):

No LLM key? The system falls back to a deterministic heuristic generator so pipelines remain testable offline.

Roadmap

• Integrate Tavily/NewsCatcher for better global news coverage.
• Plug in CrewAI/agent voting for multi-model consensus.
• Streamlit dashboard for live market ideation boards.
• Optional Polymarket CLOB integration to auto-submit community market suggestions.
• RAG knowledge base seeded with past Polymarket markets and governance posts.

Development & Testing

pip install -r requirements.txt
pytest

To run the CLI inside the repo without installing:

python -m polysuggest.cli suggest "US election turnout"

Logging is powered by Loguru; set LOGURU_LEVEL=DEBUG for verbose traces.

Dockerfile coming soon (project is fully dependency-pinned via requirements.txt / pyproject.toml).

Need help or collaboration?

• 📧 xsui46941@gmail.com
• 📣 Telegram: @lorine93s
• 🐦 X (Twitter): @kakamajo_btc

Let’s build the next generation of AI-native Polymarket tooling together.