iomarkets-ai

endpoint

https://iomarkets.ai/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is iomarkets-ai live?

Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.

Is iomarkets-ai free to use?

Yes — the hub reached it with no key and no payment.

What tools does iomarkets-ai have?

8 tools: get_overview, list_data_endpoints, list_runs, get_run, draft_evaluation_request, get_api_status, explain_term, get_guide.

Is iomarkets-ai safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_api_status open 1h ago

  Whether the Data API at api.iomarkets.ai is up right now.

  mcp-tool

  12345

  {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }

  arguments 5 lines copy
• explain_term open 1h ago

  A plain-English meaning of a word used on the site: x402, USDC, Algorand, test network, signed proof, Federated Computing, confidential hardware, attestation, receipt, AI agent, MCP. Without a word, lists them all.

  mcp-tool

  12345678910

  {
    "type": "object",
    "properties": {
      "term": {
        "type": "string",
        "description": "The word to explain."
      }
    },
    "additionalProperties": false
  }

  arguments 10 lines copy
• get_guide open 1h ago

  Step-by-step instructions, with the exact button names, for one task on iomarkets.ai. Without a task, lists the tasks.

  mcp-tool

  1234567891011121314151617181920

  {
    "type": "object",
    "properties": {
      "task": {
        "enum": [
          "look-around",
          "verify-proof",
          "console",
          "runs",
          "verify-receipt",
          "audit-trail",
          "request",
          "own-assistant"
        ],
        "type": "string",
        "description": "Which task. Leave out to list them all."
      }
    },
    "additionalProperties": false
  }

  arguments 20 lines copy
• get_overview unknown never probed

  What IoMarkets.ai is and what is built: the Data API (verifiable market data AI agents pay for per call over x402) and Federated Computing (private computing across organisations on confidential hardware), with the main pages and what is a demonstration.

  mcp-tool

  12345

  {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }

  arguments 5 lines copy
• list_data_endpoints unknown never probed

  The Data API catalogue: each endpoint, what it returns, its parameters and its indicative price per call in USDC, plus how payment works and the indicative plans.

  mcp-tool

  12345

  {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }

  arguments 5 lines copy
• list_runs unknown never probed

  Every Federated Computing run done on confidential hardware, newest first: its id, what it showed and the hardware it ran on.

  mcp-tool

  12345

  {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }

  arguments 5 lines copy
• get_run unknown never probed

  One Federated Computing run in detail: what it showed, the model and data, hardware, location, result, payment, and whether its receipt verifies (checked now, with the same code as the receipt checker).

  mcp-tool

  123456789101112131415161718192021222324252627282930313233

  {
    "type": "object",
    "required": [
      "id"
    ],
    "properties": {
      "id": {
        "enum": [
          "join-across-banks",
          "federated-round",
          "gpu-llm-14b",
          "owner-key-service",
          "owner-kms",
          "sealed-tdx-gpu",
          "sealed-tdx",
          "gpu-llm-7b",
          "gpu-llm",
          "gpu-compute",
          "confidential-gpu",
          "three-banks",
          "governed",
          "intel-tdx",
          "bundled-image",
          "tabular-residency",
          "first-paid-run",
          "first-run"
        ],
        "type": "string",
        "description": "The run id, from list_runs."
      }
    },
    "additionalProperties": false
  }

  arguments 33 lines copy
• draft_evaluation_request unknown never probed

  Turn what someone wants to evaluate, in their own words, into a Federated Computing evaluation request. Returns the message and a link that opens it in their email app; nothing is sent for them, and they can also use the form. Ask for anything missing, one question at a time, before calling it.

  mcp-tool

  1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253

  {
    "type": "object",
    "required": [
      "role",
      "organisation",
      "name",
      "email",
      "goal"
    ],
    "properties": {
      "goal": {
        "type": "string",
        "description": "What they want to evaluate, in a sentence or two."
      },
      "name": {
        "type": "string"
      },
      "role": {
        "enum": [
          "Benchmark or data owner",
          "Model owner",
          "Model-risk or audit team",
          "Cloud provider",
          "Research or grant partner",
          "Other"
        ],
        "type": "string",
        "description": "Their role."
      },
      "email": {
        "type": "string",
        "description": "Where the reply should go."
      },
      "assets": {
        "enum": [
          "Tabular model or data",
          "Text classifier",
          "Large language model",
          "Not sure yet"
        ],
        "type": "string",
        "description": "The kind of model or data (optional)."
      },
      "constraints": {
        "type": "string",
        "description": "Regions, confidentiality, timing (optional)."
      },
      "organisation": {
        "type": "string"
      }
    },
    "additionalProperties": false
  }

  arguments 53 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.