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Integration pair

Kalshi and Polymarket integration with AI agents

Build AI agents that bridge Kalshi and Polymarket — read from one, act on the other, and keep them in sync without writing integration code.

What you can do with Kalshi and Polymarket

Real Kalshi and Polymarket workflows the Twin community runs every day, ready for you to clone.

  • Push Kalshi updates into Polymarket

    When Kalshi signals a change, sync the relevant context into Polymarket without writing glue code or maintaining a webhook.

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  • Mirror Polymarket state back into Kalshi

    Keep Kalshi records aligned with what is actually happening in Polymarket, with the agent reconciling differences on a schedule you set.

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  • Build agents that span Kalshi and Polymarket

    Describe the cross-tool workflow in plain English; the agent calls both Kalshi and Polymarket with the right auth and retries between them.

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  • Trigger Polymarket actions from Kalshi events

    Watch Kalshi for the change you care about, then have the agent act in Polymarket — with full context preserved across the hop.

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How it works

Three steps from idea to a running Kalshi and Polymarket agent.

  1. 1

    Connect via OAuth

    Sign in to Kalshi and Polymarket once. Twin securely manages the connection and handles token refreshes for you.

  2. 2

    Describe the workflow

    Tell Twin in plain English what you want done in Kalshi and Polymarket. The agent figures out the API calls itself.

  3. 3

    Twin builds and runs

    Twin assembles the agent, runs it on demand or on a schedule, and adapts when Kalshi and Polymarket responds in unexpected ways.

Why Twin for Kalshi and Polymarket

What makes Twin a better fit than a generic automation tool.

One agent, two platforms, no glue code

Wiring Kalshi and Polymarket together usually means a Zap, a script, or a webhook to maintain. Twin runs the agent end to end across both, so you describe the outcome instead of the plumbing.

Auth that stays out of your way

Twin handles Kalshi and Polymarket credentials, refresh tokens, and rate limits. You connect once and the agent reuses both sessions on every run, including when the platforms change behavior under it.

Adapts when either side shifts

When Kalshi or Polymarket changes a field, surface a new screen, or rotates an endpoint, Twin's runner adjusts at run time and reports back instead of failing the next scheduled job.

Frequently asked questions

Build your first Kalshi and Polymarket agent in 2 minutes

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