Polytoolhub logoPolytoolhubSearch tools
← SDKs & libraries

SDK

Simmer SDK

Build prediction-market agents with market research, multiple paper modes, historical replay and supported live-venue integrations.

3.5/ 5Editorial rating0 user reviews
View repositorygithub.com
Available on
Python, CLI
Pricing
The SDK is MIT-licensed

Screenshots and interface

Product preview1 / 2

SDK introduction and available integration paths.

What is Simmer SDK?

Simmer SDK is a Python harness for agent strategies. It provides a progression from virtual Simmer markets to paper trades priced from real venues and then live execution. The SDK also includes position sizing, alerts, portfolio methods and an optional historical backtest runner.

Who it is for

  • Developers building reusable agent skills
  • Researchers comparing virtual, real-price paper and live modes
  • Teams that need position and risk controls around a strategy

Features and coverage

Available on
Python, CLI
Markets & venues
Simmer virtual markets, Polymarket, Kalshi
  • Market and portfolio methods

    Discover markets, inspect positions, read history and query cross-venue portfolio buckets.

  • Two paper paths

    Use virtual SIM markets or live=False with real-venue prices.

  • Historical replay

    The backtest extra replays a skill against a frozen tape and reports P&L, hit rate, drawdown, baselines and configuration hash.

  • Sizing utilities

    Fractional Kelly and expected-value helpers support bounded allocations.

  • Orders and monitors

    Manage supported orders, stop/take-profit monitors and redemption.

  • Skill tooling

    Use documented skill bundles and integration resources.

  • Read-only constructor

    A dedicated readonly client avoids constructor-triggered risk-exit processing.

Workflows with Simmer SDK

Develop before live execution

Start with virtual SIM, then use Polymarket with live=False to account for its spread model. Compare results before configuring a live signer.

Backtest a skill

Run the bundled demo or a bounded historical tape, inspect realism gaps and compare against the reported baselines.

Build a status checker

Use SimmerClient.readonly rather than constructing a live client that can process pending exits.

Pricing and total cost

The SDK is MIT-licensed. Hosted account features and live-venue access follow Simmer’s plans; the README requires Pro for Kalshi and Elite for dedicated per-agent wallets.

Getting started

Before you start: A regular live client constructor can process pending stop-loss or take-profit exits when a signer is configured.

  1. Install simmer-sdk and obtain the required Simmer API access.
  2. Choose the venue and live/paper mode explicitly.
  3. Use a readonly client for validation or status checks.
  4. Run a bounded paper strategy or the backtest demo.
  5. Configure venue credentials and approvals separately before live use.

Open documentation

Useful links

What to check

  • A regular live client constructor can process pending stop-loss or take-profit exits when a signer is configured.
  • Virtual SIM uses an AMM model; real-price paper mode and live books behave differently.
  • Historical backtests use trade-tape prices rather than full order books.
  • The published tape coverage has a finite end date; inspect the actual available window.

A closer look

Ratings & reviews

Write a review
Editorial rating
3.5/ 5
0 user reviews
Polytoolhub editorial

Our take on Simmer SDK

Distinct paper modes, replay and live integrations give agent developers useful building blocks. Constructor-triggered exits, different simulation models and hosted plan requirements make configuration especially important.

Based on documented features, setup and access terms. How we rate

User reviews 0

The main score switches to user ratings after 5 published reviews.

Be the first to share your experience

A specific example helps the next person choose the right tool.

Write a review

How was your experience with Simmer SDK?

Share what you used, what worked and what could be better. We confirm your email and review the submission before publishing.

To submit a review, email info@polytradingbot.com with the tool name, your rating and your experience. Enable JavaScript to prepare a draft here.

Related tools

Browse category
Marketlens Python SDK: Python installation and Strategy quickstart.
Marketlens Python SDK
SDK4.0Editorial

Retrieve historical Polymarket books and run either tick-level execution simulations or faster bar-based signal backtests in Python.

  • Language Python

Historical L2 replay with execution assumptions.

Numinous Tools: Agent skill overview and installation paths.
Numinous Tools
SDK3.5Editorial

Add Numinous forecasts, sourced market signals and credit-usage checks to a compatible coding or research agent.

  • Language Python

Connect Numinous forecasts and sourced signals to a compatible research agent through its skill package.

PMXT open-source SDK: PMXT repository overview and supported venue families.
PMXT open-source SDK
SDK3.5Editorial

Use Python or TypeScript clients with a common prediction-market interface, targeting hosted PMXT or a locally run backend.

  • Language Python · TypeScript

A general multi-venue client layer.

Frequently asked questions about Simmer SDK

Can it simulate Polymarket without a funded wallet?

Yes. Set live=False on the Polymarket venue for simulated trades.

Why use the readonly constructor?

It avoids constructor-time risk-exit processing in status and validation code.

Does the backtest reproduce the full order book?

No. Its historical runner uses trade-tape prices and reports the resulting realism gaps.