Documentation Index
Fetch the complete documentation index at: https://rekko.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
Source code: github.com/Rekko-AI/rekko-skill
Rekko’s role
In the OpenClaw ecosystem, three skills work together for autonomous prediction market trading:| Skill | Role | What it does |
|---|---|---|
| Rekko | The Brain | Deep causal research, probability estimates, trading signals |
| PolyClaw | The Hands (Polymarket) | Executes trades on Polymarket via CTF minting + CLOB |
| Kalshi Trader | The Hands (Kalshi) | Executes trades on Kalshi |
Installation
SKILL.md to your agent’s skill set. Requires REKKO_API_KEY in your environment, or an EVM wallet with USDC on Base for x402 autopay.
Python client
The repo includesrekko_tools.py — an async HTTP client with x402 payment support:
Example workflow
An agent with all three skills can autonomously:- Screen markets with Rekko (
list_markets,screen_markets) - Analyze promising candidates (
get_strategy— 30-90s blocking call) - Decide based on the signal (recommendation, edge, confidence)
- Execute via PolyClaw (Polymarket) or Kalshi Trader (Kalshi)
- Track the position (
place_shadow_trade,get_portfolio)
Thin client principle
The SKILL.md teaches agents how to consume Rekko intelligence — how to call tools, interpret responses, and chain with execution skills. All research methodology stays behind the API.Learn more
Quickstart
Get your first signal in 5 minutes.
Python Client
RekkoClient reference with x402 autopay.
MCP Tools Reference
Full list of available tools and parameters.
API Reference
Direct API access for custom integrations.