> ## 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.

# Quickstart

> Get your first Rekko signal in 5 minutes.

<Steps>
  <Step title="Install the skill">
    ```bash theme={null}
    npx skills add Rekko-AI/rekko-skill
    ```

    Or clone the repo and copy `SKILL.md` into your agent's skill directory:

    ```bash theme={null}
    git clone https://github.com/Rekko-AI/rekko-skill.git
    ```
  </Step>

  <Step title="Set up authentication">
    **Option A: API key** (simplest)

    Get a free key at [rekko.ai/dashboard](https://rekko.ai/dashboard):

    ```bash theme={null}
    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:

    ```bash theme={null}
    export X402_PRIVATE_KEY=0x_your_private_key
    ```
  </Step>

  <Step title="Install Python dependencies">
    ```bash theme={null}
    pip install -r requirements.txt
    ```
  </Step>

  <Step title="Make your first call">
    ```python theme={null}
    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)
    ```
  </Step>

  <Step title="Get a strategy signal">
    ```python theme={null}
    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']}")
    ```
  </Step>

  <Step title="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
    ```
  </Step>
</Steps>

## Next steps

* Read the [SKILL.md](https://github.com/Rekko-AI/rekko-skill/blob/main/SKILL.md) for the complete endpoint reference and all 6 workflow patterns
* Explore the [Python client reference](/integrations/openclaw/python-client) for the full `RekkoClient` API
* Check [signal accuracy](/api-reference/analytics/calibration) before relying on high-confidence calls