AI Swarm Intelligence for Scenario Prediction
MiroFish: Predict Anything with AI Simulation
Ask a question, add source material, and let MiroFish handle seed → simulation → report as one continuous prediction workflow.
Official product answer
What is MiroFish?
MiroFish is an AI prediction engine for exploring uncertain real-world decisions. It turns seed material into a structured simulation environment, runs multi-agent scenario analysis, and produces prediction reports that users can question through follow-up chat.
Instead of asking for a single forecast, MiroFish builds a parallel model of the situation: people, incentives, events, constraints, and possible reactions. Teams use it to examine public opinion shifts, market scenarios, policy impact, crisis response, and strategic decisions before acting.
The workflow moves from source material to graph building, persona generation, simulation, report generation, and interactive analysis. This official homepage is the main product entrance. Read the full guide to MiroFish AI for a longer explanation.
- Category
- AI prediction engine
- Method
- Knowledge graph plus multi-agent simulation
- Input
- Text, PDF, Markdown, TXT, and decision notes
- Output
- Prediction report, branch points, and follow-up chat
Product tour
Explore MiroFish from source material to insight.
Follow the product flow: upload context, shape the graph, prepare agents, and review the report.
Environment setup
See the context behind a MiroFish simulation.
Relationship context, agent personas, and timing come together before a scenario run begins.
Illustrative interface · English text · Fictional sample data
Everything you need to
simulate the future
MiroFish combines swarm intelligence, knowledge graphs, and multi-agent LLMs in one natural-language prediction platform.
Multi-Agent Swarm Intelligence
Independent AI agents with distinct memory and behavior interact in a simulated social environment, revealing dynamics a single model can miss.
GraphRAG Knowledge Graphs
Extract entity relationships from seed documents and turn them into a knowledge graph that anchors agent memory and reasoning.
Natural Language Interface
Describe the scenario in plain language. MiroFish handles seed extraction, simulation setup, and report generation in one conversation.
Structured Prediction Reports
Each run produces narrative analysis, group dynamics, probability estimates, timeline notes, and follow-up paths for deeper review.
God's-Eye Variable Injection
Inject policy changes, market shocks, or new assumptions during a run and watch the simulated world recalibrate.
Deep Agent Interaction
After simulation, interview agents or query the ReportAgent to inspect motives, objections, and supporting evidence.
From seed to simulation
in five steps
You provide the question; MiroFish orchestrates the prediction pipeline from seed material to report.
Predict what matters to you
MiroFish is strongest when a decision depends on human reactions, incentives, and narrative shifts.
Public Opinion & Crisis Management
Simulate how news, crises, or announcements spread through social groups and where sentiment may shift.
PR & CommunicationsFinancial Scenario Forecasting
Model sentiment after earnings, regulatory changes, or macro signals to inspect narrative-driven market reactions.
Finance & InvestingPolicy Impact Testing
Test policy drafts before release and compare which groups may support, resist, or reshape the debate.
Government & PolicyCreative Narrative Exploration
Explore story branches, missing endings, or fictional societies when the outcome depends on character behavior.
Writers & CreatorsScenarios
Route hot events
Beyond traditional forecasting
Most prediction tools extrapolate. MiroFish simulates the social system behind the question.
| Capability | Traditional Analytics | MiroFish |
|---|---|---|
| Natural language input | ✗ Requires structured data | ✓ Full NL conversation |
| Agent personality modeling | ✗ Not supported | ✓ Thousands of unique agents |
| Emergent social dynamics | ~ Statistical proxies only | ✓ Organic agent emergence |
| Mid-simulation variable injection | ✗ Re-run required | ✓ Real-time intervention |
| Post-simulation agent interview | ✗ Not possible | ✓ Direct agent dialogue |
| GraphRAG knowledge graph | ~ Basic embeddings | ✓ Full entity–relationship graph |
| Open source & self-hostable | ✗ Mostly proprietary | ✓ AGPL-3.0 / Docker ready |
Choose your next step
Practical paths for understanding MiroFish, opening the console, preparing scenario runs, and reading examples.
Start lean, scale as you grow
Start with free runs, then upgrade for more monthly analyses, larger simulations, and advanced models.
For individuals trying scenario prediction for the first time.
$54 due today for one year. Renews yearly until canceled.
- 5 analyses per monthUp to 50 agents per simulation
- Basic reportsNo custom knowledge base or API
For teams running regular prediction workflows.
$174 due today for one year. Renews yearly until canceled.
- 25 analyses per monthUp to 100 agents per simulation
- Custom materialsKnowledge base, API access, and priority processing
For higher volume, integrations, and dedicated support.
$354 due today for one year. Renews yearly until canceled.
- 160 analyses per monthUp to 200 agents per simulation
- Enterprise supportCustom materials, API access, and dedicated support
Common questions
MiroFish is an AI prediction engine for multi-agent scenario simulation. It turns seed material into a structured world model, runs simulated agents through interaction rounds, and returns a report that helps people inspect possible reactions before acting.
What a MiroFish run gives you
MiroFish turns seed material and a decision question into a report you can inspect, challenge, rerun, and share.
Input
Start with a brief, article, transcript, market note, policy draft, story outline, or memo.
Output
The report summarizes likely reactions, disagreement points, assumptions, risk signals, and follow-up questions.
Limits
MiroFish is decision support, not a guarantee. Use it to expose uncertainty before acting.
Payment
Checkout supports monthly or yearly subscriptions, with yearly selected by default.
Rehearse the future.
Win every decision.
Open the console, enter a prediction prompt, and choose a subscription when you are ready to scale.