Do I need to know how to code?

No. You describe what you want the agent to do in plain English — for example, "check Kalshi election markets every morning and send me a Telegram message if any contract moves more than 5 points." Twin builds and runs the workflow from that description.

Can my Kalshi agent run on a schedule?

Agents can run on a recurring schedule — hourly, daily, or at whatever cadence fits your workflow. The Kalshi Alerts agent, for example, is designed to poll market data and send notifications on a repeating basis without any manual triggering.

Which Kalshi agents in the Twin community can I clone?

The Kalshi agents section above lists the most-run community builds, with run and clone counts on each card so you can pick a battle-tested starting point. Cloning is faster than starting empty and the agent comes pre-wired to Kalshi.

Which Polymarket data can agents access?

Agents can work with prices, tickers, transactions, balances, portfolios, and market data available through Polymarket. The specific fields depend on your connection method and what the platform exposes.

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.

Try Twin

Integration guide

How Twin uses Kalshi and Polymarket inside repeatable agent workflows

Twin treats Kalshi and Polymarket as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.

The page below shows the practical automation patterns for Kalshi and Polymarket: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.

Common starting points include kalshi market research, market data to spreadsheet, kalshi picks to content. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.

Twin is most useful when 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.

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.
Explore
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.
Explore
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.
Explore
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.
Explore

How it works

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

1

Connect via OAuth

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

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.

Kalshi and Polymarket agents from the community

Be the first to build a Kalshi and Polymarket agent.

The Twin community hasn't published a Kalshi and Polymarket agent yet — describe what you'd like to automate and we'll build it for you in minutes.

Build the first Kalshi and Polymarket agent

Common Kalshi and Polymarket use cases

Patterns that show up across the Twin community — start from one and adapt it.

Kalshi market research

Track probability shifts across election and event contracts and summarize movements over time.

See use case

Market data to spreadsheet

Pull Kalshi prices and tickers into a structured sheet on a recurring schedule.

See use case

Kalshi picks to content

Turn notable contract movements or positions into posts, briefs, or social content.

See use case

Customer Support with Polymarket

Combine Polymarket with the rest of your stack to run this workflow on a schedule.

See use case

Build with more than Kalshi and Polymarket

These related integration pages give crawlers and readers another path through the automation catalog. They connect Kalshi and Polymarket to nearby apps, categories, and paired workflows that teams often evaluate together.

See all integrations