PredictionAI demo
Find where estimate and price disagree most
Scan markets for the largest gaps between researched estimates and quoted prices.
The challenge
Scanning many markets by hand means most are never examined at all.
The scenario
A researcher wants to know which of many open markets are most worth a closer look.
What goes in
- Market universe
- Open contracts under consideration.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Which markets differ most from my estimates?”
- “Rank these by disagreement.”
- “What drives the gap here?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Estimate across markets
EstimateForm estimates for each candidate market.
Compare to price
ObservedMeasure the difference against each quoted price.
Rank and explain
AI-inferredOrder by gap and state what drives each.
What you get
The shape of what comes back — not a promised result.
Ranked gaps
EstimateMarkets ordered by disagreement, with the driver stated.
Why it matters
- Attention where it earns
- Research effort goes to markets with the largest disagreement.
Related demos
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Research the event behind the contract
Build the evidence picture on an underlying event, kept attached to the market it concerns.
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Quantis
Screen equities against stated criteria
Run a reproducible screen and see the measures that qualified every result.
3 minute walkthrough
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Want to try this with your own work?
Open PredictionAI and bring your own data. No signup is needed to read these demos.