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Crypto & Governance

Predict how crypto Twitter reacts to an announcement

In crypto, the timeline decides fast. A governance proposal, a tokenomics change, or a token launch can turn into a pile-on or a rally within hours, and the price moves with the posts. MiroShark simulates that loop: grounded personas post and argue on a Twitter-like feed and a Reddit-like forum while they trade on a prediction market about the outcome.

The two sides are wired together. Traders read the posts, and the posters watch the price. That is the part a single model's opinion misses, and it is why the report shows both the narrative and the market path, with each claim tied to a real post or trade from the run.

Who it is for

  • DAO contributors and delegates drafting a governance proposal.
  • Token teams planning a launch, a tokenomics change, or a migration.
  • Community and comms leads who need to know what FUD is coming.
  • Researchers studying how narratives and prices move together.

What you put in

One seed: a prompt, an article URL, or pasted text. Here is the example this page is built on. It opens prefilled in the run panel, ready to edit.

Example prompt
A DAO proposes redirecting 50% of protocol fees into a token buyback. Simulate how large holders, the core team, and vocal critics argue and vote on it.
Prediction market to pin (optional)
Will the buyback proposal pass?

The cast it builds

MiroShark pulls the people, groups, and claims in your seed into a knowledge graph and casts grounded personas from it, each with its own beliefs, incentives, and posting style. For this seed, expect:

  • Large holders and whales
  • The core team and its supporters
  • Vocal critics and skeptics
  • Day traders and retail newcomers
  • Crypto influencers and analysts

What you get back

Each run puts about 20 grounded AI agents (most runs use 10 to 40) through 10 rounds of a Twitter-like feed, a Reddit-like forum, and a Polymarket-style prediction market, then hands you:

  • A cited markdown report written by a report agent that reads the simulated feed and market first, so every claim points back to a real post or trade from the run.
  • Belief drift: how each group's stance moved round by round as the story developed.
  • The top posts that carried the conversation on the simulated Twitter and Reddit.
  • The prediction market trajectory: where the crowd priced the central question, and when it moved.
  • A knowledge-graph view of the people, organizations, and claims MiroShark pulled from your seed.
  • A public share page with a recap card that unfurls on X, Discord, Slack, and iMessage.

What to read for this job

  • Which arguments for and against the proposal spread, and who amplifies them.
  • How the prediction market on the outcome moves as the posts land.
  • Which holders flip their stance, and what they read before they did.
  • Whether the conversation turns to FUD, and which round it starts in.

How to run it

  1. Open the run panel. Start from this example or open /sim with a blank prompt.
  2. Write the seed. A few tips for this job:
    • Name the protocol or token, the change, and the numbers in it, such as the share of fees affected.
    • Pin a market question with a clear yes or no, such as whether the proposal passes.
    • Use an article URL or the proposal text as the seed to simulate the exact wording.
  3. Pin the market if you have a question. MiroShark writes a sharp, resolvable market question for you by default. Pin your own to track the exact outcome you care about.
  4. Pay and follow the run. A flat $1 USDC per run on Base, Solana, or Monad, with no subscription and no gas to hold. The report lands in about 10 minutes.
  5. Or run it from code. Agents and scripts can start the same run through the paid x402 API with no account or API key. See the x402 guide and the docs for how the pipeline works.

Questions

More use cases

Your scenario

Run it before it happens.

Start from this example or describe your own. $1 USDC, about 10 minutes, a cited report at the end.