Market Simulation AI for Launches & Pricing | MiroFish

Test how customers, competitors, investors, and public narratives may react to a launch, pricing move, or market entry before the real market answers for you.
Built for market narrative simulation, not certainty. Every result should be reviewed against real evidence before an operating decision.
Scenario tape / illustrative
Market narrative simulation for a pricing move
Briefs, research, pricing, public sources
Actor graph + multi-round agent reactions
Narrative risks, assumptions, next questions
A useful market simulation has to be honest about the input. MiroFish works best when the scenario is grounded in source material, not when it invents a market from a vague wish.
Positioning, audience, release plan, feature notes, objections, and the story your team wants the market to hear.
Incumbent positioning, comparison pages, analyst notes, user complaints, public posts, or review snippets.
New packages, migration rules, customer segments, support risks, and the reasoning behind the price change.
Where it earns its keep
Use market simulation AI when a launch, pricing move, or market entry depends on how buyers, competitors, investors, and commentators react next.
Model how buyers, competitors, creators, and media interpret the same launch brief—and where your message loses control.
Explore how incumbents, customers, partners, and regulators may respond when a new offer changes their incentives.
Stress-test a pricing narrative across customer segments before committing to a public announcement.
MiroFish treats the market question as a world to construct and observe, then runs actor reactions across multiple rounds instead of answering once.
Upload research, launch plans, interview notes, or a public source. MiroFish extracts actors, claims, and constraints.
Turn the evidence into a relationship graph where agents have distinct roles, incentives, and memory.
Let reactions unfold over multiple rounds so second-order effects can emerge instead of being guessed in one prompt.
Review the likely trajectory, key risks, evidence lines, and the assumptions that would change the outcome.
What the report should answer
What it does not give you
Why not just ask a chatbot?
The difference is structure. MiroFish makes actors, incentives, and reaction rounds visible so the team can argue with the forecast instead of accepting it.
One compressed answer
Graph of actors, incentives, and constraints
Summarized as advice
Simulated as multi-round reaction paths
Hard to inspect after the answer
Report, risk trail, assumptions, and follow-up questions
The useful boundary is simple: explore plausible behavior, expose assumptions, then verify against reality.
Market simulation AI uses models to explore how different market participants may react to a proposed event, such as a product launch, pricing change, or market entry. MiroFish approaches this as a multi-agent scenario exercise grounded in the evidence you provide.
A single chatbot response compresses the market into one line of reasoning. MiroFish first builds a graph of actors and constraints, then simulates interactions over multiple rounds and produces a report you can inspect and question.
Market narrative simulation focuses on how a market story may form around a decision. Instead of only asking whether an idea is good, it examines who interprets it first, which objection spreads, and what evidence could change the path.
You can use PDF, Markdown, or plain-text files, as well as a public HTTPS source. Useful inputs include market research, customer interviews, competitor notes, launch briefs, pricing proposals, and policy documents.
MiroFish is designed for scenario analysis, not guaranteed numerical prediction. It can surface plausible reaction paths, narrative risks, stakeholder pressure, and evidence gaps, but it should not replace validated demand data or financial modeling.
Product marketers, founders, strategy teams, researchers, communications teams, and policy analysts can use it to challenge assumptions before a consequential decision or public release.
Related simulation paths
Market simulation is the umbrella. These focused pages go deeper on launch, pricing, and competitor pressure so the next click matches the user intent.