Forecasting OneResearch Prototype

FORECASTING ONE · SYSTEM 1 DECISION MODEL

A clearer signal
for what comes next.

Put uncertainty to work. Forecasting One is a System 1 decision model designed for prediction — turning defined tasks, context and possible outcomes into structured probabilities for research and application workflows.

Explore the APIMeet Forecasting One

PURPOSE-BUILT FOR PREDICTION

One model.
A focused purpose.

Forecasting deserves its own kind of intelligence. Forecasting One is a non-generative System 1 model designed around prediction tasks, defined resolution rules and machine-readable results.

Clear questions
Explicit targets and outcomes
Structured signals
Typed probability outputs
Developer-oriented
A consistent integration contract

Probability, in a usable form.

Output example
{
  "type": "choice",
  "choice": "option_a",
  "probabilities": {
    "option_a": 0.60,
    "option_b": 0.40
  },
  "confidence": null
}

Illustrative output format. These values are not a live forecast.

A compact signal for your next step: analysis, comparison or integration into a forecasting workflow.

FROM QUESTIONS TO SIGNALS

Less interpretation.
More structure.

Start with a prediction question and a defined resolution rule. Work with a typed result instead of extracting a decision from a long-form response.

The question, target and model version stay explicit — helping you keep forecasting experiments and downstream workflows organized.

BUILT TO CONNECT

Your workflow.
A new forecasting layer.

Explore how structured predictions can fit into research tools, analytical dashboards and model-driven applications.

Our API documentation introduces the request format, output fields and integration approach. Developer access will be announced as the service becomes available.

A CONTRACT FOR PREDICTION

Define the task.
Name the outcomes.

Bring your question, resolution criteria and available context. Define the response options through task.criteria. The API returns a Choice result with your own option IDs, with model versions and observation times kept explicit. Supported tasks depend on the model release.

COMING LATER

From signals to simulation.

Paper Trading is planned as a shared simulation experience for following model signals, portfolio decisions and outcomes over time.

It will be introduced separately. No simulation results are published on this site.

BUILD WITH FORECASTING ONE

Bring probability into your product.

Explore the contract

See the request and response format.

Read API documentation
Follow the release

Research Prototype

Public API access coming later