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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.

1

Install the skill

npx skills add Rekko-AI/rekko-skill
Or clone the repo and copy SKILL.md into your agent’s skill directory:
git clone https://github.com/Rekko-AI/rekko-skill.git
2

Set up authentication

Option A: API key (simplest)Get a free key at rekko.ai/dashboard:
export REKKO_API_KEY=rk_free_your_key_here
Option B: x402 autopay (for autonomous agents)Fund an EVM wallet with USDC on Base mainnet, then set:
export X402_PRIVATE_KEY=0x_your_private_key
3

Install Python dependencies

pip install -r requirements.txt
4

Make your first call

from rekko_tools import RekkoClient

async with RekkoClient() as client:
    # Browse top markets ($0.01)
    markets = await client.list_markets(source="kalshi", limit=10)
    print(markets)
5

Get a strategy signal

async with RekkoClient() as client:
    # Deep analysis + trading signal ($2.00, takes 30-90s)
    signal = await client.get_strategy(
        "Will the Fed cut rates at the next meeting?"
    )
    print(f"Recommendation: {signal['recommendation']}")
    print(f"Edge: {signal['edge']}")
    print(f"Confidence: {signal['confidence']}")
6

Chain to an execution skill

If the signal says BUY_YES with confidence > 0.5, pass it to PolyClaw or Kalshi Trader:
IF recommendation == "BUY_YES" AND confidence > 0.5:
    -> chain to execution skill with ticker, side, target_price

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Next steps