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Tool detail

MiroShark

Runs a 25-agent social-media simulation (Twitter, Reddit, a Polymarket-style market) over 10 rounds from a prompt, article or URL, returning a cited markdown report.

Categories: LLM inference

Use when

  • predict social and market reaction to a product launch or announcement
  • simulate how a news headline or policy will be received
  • get a belief-drift and sentiment report for a hypothetical scenario

Not for

  • not a live data feed - a synthetic multi-agent simulation
  • not instant - result likely needs polling a separate status endpoint

Inputs

POST JSON body: one of article, prompt or url (each optional individually, at least one implied needed); prediction_market optional (all strings).

Admitted input schema

{
  "type": "object",
  "properties": {
    "article": {
      "type": "string",
      "minLength": 4,
      "maxLength": 4096
    },
    "prediction_market": {
      "type": "string",
      "minLength": 0,
      "maxLength": 4096
    },
    "prompt": {
      "type": "string",
      "minLength": 4,
      "maxLength": 4000
    },
    "url": {
      "type": "string",
      "minLength": 0,
      "maxLength": 2048
    }
  },
  "required": [],
  "additionalProperties": false
}

Endpoint

Method
POST
URL
https://x402.miroshark.xyz/run

Payment

Protocol
x402
Listed price
1.00 USDC per call on Base
Payment method
exact
Network
eip155:8453
Asset
0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913

Listed terms are catalog metadata. The caller supplies inputs and calls the tool outside Onelayer. If payment is required, the caller uses a compatible wallet to pay.

Source

Record
POST https://x402.miroshark.xyz/run
Retrieved
2026-09-30T20:37:07.382Z
Catalog file SHA-256
6837ccddf886f0007cf3727ea9d27faaa5047b51b4f425345c554ce1c271a524
Catalog built
2026-09-30T22:31:58.034Z