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Research tool

Forecast AI: Specialist-Agent Forecasts and Persistent Records

Forecast AI provides multi-agent research for Polymarket/Kalshi questions and separate asset outlooks. Forecast Lab compares specialist estimates, while Agent Studio configures persistent prediction, RWA or hybrid identities.

Available on
Web

Screenshots and interface

What is Forecast AI?

Keep role-level evidence and disagreement visible rather than relying only on consensus. Connector provenance distinguishes used, unavailable, failed and irrelevant sources. RWA/native-coin outlooks need explicit horizons and differ from event probabilities.

Eligible forecasts can be shared publicly and committed to a supported network. A commitment records publication, not accuracy; Brier-style scoring follows resolution. Potential token rewards and paid-agent discovery remain under discussion.

Who it is for

  • Comparing evidence domains.
  • Inspecting model disagreement.
  • Building forecasting identities.

Research coverage and methods

  • Specialists

    7 roles keep evidence/probabilities separate before consensus.

  • Forecast Lab

    Polymarket and Kalshi research.

  • Provenance

    Used, unavailable, failed or irrelevant connectors.

  • Agent Studio

    Prediction, RWA and hybrid configurations.

  • Public results

    Eligible public forecast URLs.

  • Commitments

    Record eligible forecast payloads.

  • Scoring

    Resolution-linked Brier-style identity results.

  • Asset outlooks

    Separate RWA/native-coin horizons.

Research tasks

Audit consensus

Read each estimate and source before the final probability.

Create a specialist

Choose target, models and modules and examine test forecasts.

Review history

Separate commitments, unresolved predictions and scored outcomes.

Pricing and total cost

Core access is free during testing. Activating each custom identity requires a refundable 200,000 FORAI lock. Unlocking retires the identity but preserves history. Holder tiers raise usage limits.

Research inputs and access

  1. Open Forecast Lab.
  2. Sign in for a run.
  3. Choose the exact contract.
  4. Inspect role sources and connector status.
  5. Use Studio for custom identities.
  6. Read bond/activation terms before activating.

Useful links

What to check

  • Commitment is publication evidence, not proof of accuracy.
  • Rewards and paid-agent discovery are not active features.

A closer look

Ratings & reviews

Editorial rating
3.0/ 5
0 user reviews

Our take on Forecast AI

Separate estimates, provenance and retained records make research inspectable. Token locks and publication-versus-quality distinctions add complexity.

Assessment criteria
Task usefulness, documented scope, setup clarity, and access and cost transparency.
Assessment date
Documentation reviewed

Documentation-based assessment. 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?

7 evidence domains.

Is core testing paid?

It is described as free during testing.

What does the bond activate?

A persistent user-created identity; unlocking retires it while retaining history.