Prediction Market Analytics
See what’s actually
likely to happen.
ChatterLab simulates how events play out — with AI agent swarms modelling real dynamics — to produce probability estimates independent of market consensus.
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Built for anyone who wants to know what’s actually going to happen
✓ Polymarket & Kalshi compatible✓ Base rate analysis✓ Multi-agent simulation✓ Independent estimates
HOW IT WORKS
Three steps to a better estimate
Paste a question. Get an analysis. It’s that simple.
01 — DESCRIBE
Drop a link or describe the event
Paste a Polymarket or Kalshi link, or just describe the question in your own words. The copilot figures out the resolution criteria, timeline, and key drivers.
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02 — SIMULATE
Agent swarms model how it plays out
Policymakers, analysts, journalists, economists — each with their own expertise and biases — react to the scenario and each other. Cascade effects emerge naturally.
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03 — ANALYSE
See what the data says
Get a probability estimate with confidence range, key drivers ranked by impact, base rate analysis, and a clear view of where the model diverges from market consensus.
WHAT YOU CAN ANALYSE
Any event with a yes-or-no outcome
If there’s a prediction market for it, ChatterLab can simulate it.
🏛️
Politics & Geopolitics
- Election outcomes
- Policy decisions
- International agreements
- Leadership changes
🏦
Monetary Policy & Macro
- Rate decisions
- Inflation targets
- Employment thresholds
- Central bank actions
⚖️
Regulatory & Legal
- Court rulings
- Regulatory approvals
- Legislation passage
- Enforcement actions
🚀
Tech & Crypto
- Product launches
- Protocol upgrades
- Adoption milestones
- Market structure changes
🌍
Science & Climate
- Research milestones
- Climate targets
- Health outcomes
- Space events
✨
Custom Questions
- Any yes/no question
- Corporate events
- Cultural milestones
- Niche markets
TRY IT NOW
Talk to the copilot
Ask about any prediction market question. The copilot will walk you through setting up the analysis.
How it thinks
The copilot doesn’t just pattern-match — it builds a simulation with real dynamics. Here’s what makes it different:
- Starts from base rates — how often has this type of thing actually happened?
- Maps the key drivers — who and what actually moves the needle
- Simulates cascade effects — how one event triggers another
- Produces an estimate independent of market consensus
- Shows where the model diverges from market pricing and why
ChatterLab Markets
FAQ
Common questions
How is this different from just asking ChatGPT?▾
ChatGPT gives you one model's opinion. ChatterLab runs an agent swarm where dozens of AI agents — each with different expertise, biases, and information access — play out the scenario across multiple rounds. The estimate comes from how the dynamics actually unfold, not from a single model's pattern matching.
Where does the probability estimate come from?▾
From the simulation itself. Agent swarms modelled on real actor types — policymakers, analysts, journalists, market participants — interact over 40 to 100 rounds. Each agent makes decisions based on their persona and what other agents are doing. The probability reflects how the scenario resolves when you let the system play out.
Is this financial advice?▾
No. ChatterLab is a research and analytics platform. Everything it produces — probability estimates, divergence analysis, simulation reports — is for informational purposes only. We describe what the simulation observes, never what you should do. No recommendations, no directives.
How long does a simulation take?▾
The research phase takes 2-3 minutes. The simulation itself runs 5-15 minutes depending on depth (40-100 rounds). The full report generates in under a minute. Total time from pasting a link to receiving a complete analysis: roughly 10-20 minutes.
What markets can I analyse?▾
Any event with a measurable outcome. Paste a Polymarket or Kalshi link, or describe any question: elections, monetary policy, regulatory decisions, tech launches, crypto, sports, geopolitics. If you can define what the outcome looks like, ChatterLab can simulate it.
How accurate are the estimates?▾
Every estimate includes a confidence range so you know how certain the model is. The simulation is calibrated against historical base rates — when it says 60%, outcomes in that range resolve correctly about 60% of the time. We are transparent about uncertainty and never overstate confidence.
Can I bring my own data?▾
Yes. Before the simulation starts, ChatterLab asks if you have additional data sources — paid analytics subscriptions, API connections, proprietary research, or insider context. Upload files or paste data directly. Your data gets priority over public search results and significantly improves simulation quality.
What does the report include?▾
A multi-section intelligence report covering: the most likely outcome with confidence level, key drivers pushing the probability higher or lower, historical base rate analysis, related markets and correlated scenarios, strategic recommendations for further analysis, and a full audit trail of the simulation data.
GET STARTED
Ready to see what the data says?
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