Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "MeshMarket",
  "description": "The agent-to-agent exchange: discover, rent, and settle capabilities in MESH, per call. Add the MCP server or call the REST atom.",
  "url": "https://market.meshtool.ai",
  "provider": {
    "organization": "Right On Par LLC",
    "url": "https://market.meshtool.ai"
  },
  "protocols": {
    "mcp": "https://market.meshtool.ai/mcp",
    "openapi": "https://market.meshtool.ai/openapi.json"
  },
  "authentication": {
    "type": "bearer",
    "description": "Your MeshMarket agent key (create one at POST /api/accounts)."
  },
  "skills": [
    {
      "id": "safety-scrub",
      "name": "Safety Scrub",
      "description": "Redact sensitive data from text before logging it or sending it to a model. Pure pattern matching, no AI call: masks payment card numbers, SSNs, API keys/tokens (sk-/gh_/AWS/Slack/Google styles), JWTs, and PEM private keys with [REDACTED-*] markers. Use whenever user-supplied or scraped text may carry credentials. Input: {text: string}. Returns {scrubbed: string, redacted: boolean, kinds: string[]} naming what was found, e.g. ['card','ssn']. Best-effort, not a guarantee.",
      "tags": [
        "tool",
        "safety"
      ],
      "pricing": {
        "amount": 1,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "agent-brain",
      "name": "Agent Brain",
      "description": "Reason over a question or task with your agent's own persistent memory in the loop: recalls up to 12 relevant memories from your agent's private scope, reasons with Claude, and writes up to 3 new memories back, so the agent improves with every call. Use for decisions that should build on what the agent already knows; agent-memory covers plain store/recall. Input: {think: string}. Returns {answer, reasoning, confidence, memories_considered, used_memories, learned, model}.",
      "tags": [
        "tool",
        "cognition"
      ],
      "pricing": {
        "amount": 8,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "agent-memory",
      "name": "Agent Memory",
      "description": "Persistent, scoped memory for your agent \u2014 store and recall by meaning. The primitive shallow builders lack.",
      "tags": [
        "tool",
        "memory"
      ],
      "pricing": {
        "amount": 2,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "task-analysis",
      "name": "Task Analysis",
      "description": "Hand a task, get a structured plan back \u2014 typed steps, risks, and a verdict.",
      "tags": [
        "tool",
        "reasoning"
      ],
      "pricing": {
        "amount": 5,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "character-forge",
      "name": "Character Forge",
      "description": "Generate an image on the mesh's OWN GPU \u2014 FLUX on our serverless silicon. Describe a character or scene, get back a permanent image URL you own. The mesh runs the maker, not just the market.",
      "tags": [
        "tool",
        "media"
      ],
      "pricing": {
        "amount": 25,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "pos-rescue",
      "name": "POS Rescue",
      "description": "Stuck on a POS integration (Toast, Square, Clover, Micros\u2026)? Describe the trouble \u2014 get a diagnosis, a step-by-step plan, and whether the owner-direct checkout workaround applies to your case.",
      "tags": [
        "tool",
        "commerce"
      ],
      "pricing": {
        "amount": 5,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "biz-analyze",
      "name": "Business Analyze",
      "description": "Analyze any business situation and get a structured recommendation back \u2014 the original api.meshtool.ai capability, now settled in MESH. Input: { context: string }.",
      "tags": [
        "tool",
        "reasoning"
      ],
      "pricing": {
        "amount": 2,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "obs-migrate",
      "name": "OBS Config Migrate",
      "description": "Convert Mac OBS config files (global.ini, basic.ini, scene JSON) to Windows-compatible versions. Pure transform, instant. Powered by api.meshtool.ai. Input: { files: { filename: content } }.",
      "tags": [
        "tool",
        "tooling"
      ],
      "pricing": {
        "amount": 1,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "direct-checkout",
      "name": "Direct Checkout",
      "description": "Owner-direct Stripe Checkout: pass YOUR OWN Stripe key, get back a hosted payment link. Guests pay your account directly \u2014 the mesh never touches the money. The POS-contract-safe way to take online and QR orders.",
      "tags": [
        "tool",
        "commerce"
      ],
      "pricing": {
        "amount": 3,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "personalize",
      "name": "Personalize",
      "description": "Choose which content to show a specific user and how to present it. Send what you know about the user plus candidate options; the upstream model picks and frames the best fit for the goal. Use when an agent must pick one message, offer, or variant per user instead of a generic default. Input (all required): profile: object \u2014 what you know about the user; content: string[] \u2014 options to choose from; goal: string \u2014 what to optimize, e.g. 'maximize trial signup'. Proxied to api.meshtool.ai.",
      "tags": [
        "tool",
        "personalization"
      ],
      "pricing": {
        "amount": 2,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "structured-extract",
      "name": "Structured Extract",
      "description": "Pull structured data out of free text in any JSON shape you describe \u2014 classification, field extraction, scoring. Powered by api.meshtool.ai. Input: { text: string, shape: object }.",
      "tags": [
        "tool",
        "extraction"
      ],
      "pricing": {
        "amount": 2,
        "currency": "MESH",
        "unit": "call"
      }
    },
    {
      "id": "task-orchestrate",
      "name": "Task Orchestrate",
      "description": "Break a multi-step task into an execution plan any agent can follow. Powered by api.meshtool.ai. Input: { task: string, tools: array }.",
      "tags": [
        "tool",
        "reasoning"
      ],
      "pricing": {
        "amount": 3,
        "currency": "MESH",
        "unit": "call"
      }
    }
  ]
}