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Research tool

Forecast AI

Compare seven specialist agents’ forecasts, inspect their evidence and disagreement, and build a persistent record for a custom forecasting identity.

Available on
Web
Pricing
Core access is free during testing

Screenshots and interface

What is Forecast AI?

Forecast AI separates market, news, social, Reddit, research, macro and on-chain analysis before combining probabilities. Forecast Lab targets prediction contracts; RWA and Coins Intelligence analyze different assets. Agent Studio lets users configure a specialist or a swarm, while eligible published forecasts enter a proof-and-resolution record.

Who it is for

  • Researchers comparing evidence domains
  • Users who want model disagreement exposed
  • Builders creating forecasting identities

Features and coverage

Available on
Web
Markets & venues
Polymarket, Kalshi, Tokenized assets
  • Seven specialist roles

    Keep probabilities and evidence separate before consensus.

  • Forecast Lab

    Analyze Polymarket and Kalshi questions.

  • Provider provenance

    See whether a connector was used, unavailable, failed or irrelevant.

  • Agent Studio

    Configure Prediction Markets, RWA or hybrid agents.

  • Public forecasts

    Share eligible results through public URLs.

  • Proof commitments

    Record eligible forecast payloads on the supported network.

  • Resolution scoring

    Attach Brier-style results to the forecasting identity.

  • Separate asset outlooks

    Use explicit horizons for RWA and native-coin research.

Workflows with Forecast AI

Audit a consensus

Inspect each specialist’s estimate and sources instead of reading only the final number.

Build a specialist

Choose its target, models and modules, then test the resulting forecasts.

Review a record

Separate published commitments, unresolved forecasts and scored outcomes.

Pricing and total cost

Core access is free during testing. Activating a user-created identity currently requires a refundable lock of 200,000 FORAI per identity; unlocking retires that identity while preserving its historical record. Holder tiers provide higher usage limits.

Getting started

Before you start: RWA directional outlooks and event probabilities are different forecast targets.

  1. Open Forecast Lab.
  2. Sign in for a run.
  3. Choose the exact contract.
  4. Inspect role-level sources and provider status.
  5. Use Agent Studio only if creating a custom identity.
  6. Review bond and activation terms before activation.

Useful links

What to check

  • RWA directional outlooks and event probabilities are different forecast targets.
  • A proof commitment records what was published; accuracy is measured only after resolution.
  • Potential token rewards and paid-agent discovery are listed as under discussion, not active features.

A closer look

Ratings & reviews

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Editorial rating
3.0/ 5
0 user reviews

Our take on Forecast AI

Separate agent forecasts, connector provenance and retained records make the research process inspectable. Token-lock requirements and the distinction between publication proof and forecast quality add complexity.

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.

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Frequently asked questions about Forecast AI

How many roles contribute?

Seven evidence domains.

Is ordinary testing paid?

Core access is described as free during testing.

What does the activation bond do?

It activates one persistent user-created identity.