Hosted predictor for scenario probabilities
Turn evidence into probabilities, paths, and decision notes.
Paste a decision question and seed evidence. The engine converts it into variables, compares optimistic, baseline, and bearish paths, then explains confidence from source quality and agent disagreement. seed -> variables -> simulation -> report
Sample mode shows the brief shape. Live report generation opens after checkout.
Live predictor preview
Variables, paths, confidence, and export notes.
Brief variables
Audience urgency, evidence quality, pricing friction, team workflow fit, regional payment readiness.
Confidence explanation
Medium confidence. Source quality is mixed and simulated agents disagree on payment friction, but evidence supports a narrow analyst workflow.
Brief
Turns broad questions into variables that can be simulated.
Agents
Compares optimistic, baseline, and bearish reasoning paths.
Export
PDF, HTML, and CSV reports for stakeholder review.
Core workflow
A predictor that makes uncertainty inspectable.
Every report is built to help a team discuss why a probability moved, where evidence is thin, and what should be checked before acting.
Prediction brief generation
Large questions become actors, incentives, constraints, timing windows, evidence gaps, and measurable outcome variables.
Multi-agent path review
Optimistic, bearish, and baseline agents expose disagreement before the final probability appears.
Confidence explanation
Source quality, recency, coverage, and agent disagreement are summarized in plain English.
Report export
Export PDF, HTML, and CSV so the team can inspect assumptions, notes, and probabilities together.
How it works
From seed evidence to a decision memo.
The workspace keeps scenario simulation, predictor-specific prompt presets, and report templates in one hosted flow.
1
Seed
Paste notes, links, survey snippets, research, or a team hypothesis.
2
Brief
The engine extracts variables, evidence gaps, time horizon, and success conditions.
3
Simulate
Agents debate scenario paths and expose optimistic, baseline, and bearish drivers.
4
Explain
Confidence is tied to source quality, disagreement, and missing evidence.
5
Export
Teams leave with a report that can be challenged, archived, or rerun.
Decision report
The output is built for discussion, not blind certainty.
Reports keep probability, assumptions, source quality, counter-scenarios, and next checks separate so a team can reason together.
Probability summaryBaseline probability with optimistic and bearish ranges.
Source qualityRecency, directness, independence, and coverage notes.
Agent disagreementWhere the model paths disagree and why the final confidence is limited.
Decision notesWhat to do now, what to monitor, and what would invalidate the forecast.
Guides
Useful starting points for AI prediction work.
Each guide answers a practical search intent, shows workflow steps, and connects naturally to the hosted predictor.
AI Prediction Engine for Evidence-Based Scenario Work
An AI prediction engine is useful when a team has evidence, uncertainty, and a decision deadline. It should break the question into variables, simulate plausible paths, compare optimistic, baseline, and pessimistic assumptions, and explain why the probability moved instead of presenting a single magic answer.
Read the guideAI Predictor for Teams That Need Decision Notes
An AI predictor is most valuable when it helps a team reason through uncertainty rather than simply returning a percentage. The output should show the scenario, key drivers, supporting evidence, counter-evidence, confidence level, and a short decision note.
Read the guideAI Forecasting Engine for Scenario Planning
An AI forecasting engine should combine structured evidence review with scenario planning. The strongest engines make assumptions visible, show competing paths, and let teams export forecasts in a format that can be challenged in a meeting.
Read the guideHow to Choose the Best AI Predictor for Team Decisions
The best AI predictor is not the one that sounds most certain. For real decisions, the better choice is the system that makes assumptions inspectable, cites evidence quality, shows disagreement across paths, and gives the team a report they can challenge.
Read the guidePricing
Choose a plan. Analyst annual is selected.
Annual billing is selected by default and saves 50%. Prices stay shown as monthly equivalents so the decision is easy to compare.
Solo
For one founder, analyst, or researcher
$14.50
/ mo
Billed annually as $174. Annual saves 50%.
10 prediction reports per month
- Prediction brief generation
- Seed evidence quality checklist
- Optimistic/base/bearish scenario paths
- HTML and CSV export
Default Analyst plan
Analyst
Default for small teams and recurring decisions
$49.50
/ mo
Billed annually as $594. Annual saves 50%.
50 reports, richer source notes
- Everything in Solo
- Multi-agent cross-judgment notes
- Confidence explanation from source quality and agent disagreement
- PDF, HTML, and CSV export
- Team discussion links
Desk
For strategy, market, and policy desks
$149.50
/ mo
Billed annually as $1794. Annual saves 50%.
200 reports, team seats, queue jobs
- Everything in Analyst
- Shared source library
- Queue jobs and API-ready workflow
- Team seats and review history
- Priority support
Questions
Clear limits, useful output.
Does the engine guarantee the future?
No. It creates scenario probabilities and evidence-backed decision notes. Forecasts are aids for planning and discussion, not guarantees.
What happens after NOWPayments checkout?
After payment is confirmed by the network and NOWPayments, access can be matched to the selected plan. Confirmation time depends on the selected asset and network.
Can teams export reports?
Yes. Analyst and Desk are built around PDF, HTML, and CSV export for team discussions, meeting notes, and follow-up analysis.
Start with Analyst
Run prediction briefs before the meeting gets expensive.
Analyst annual is the default because it gives a small team enough report volume, exports, and confidence notes to evaluate the workflow seriously.