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Card snapshot

humanforai.dev · 2026-07-14 23:26:14 UTC · c600c2758eab53e73e595111d46a0ec4ee4f802b8627a4bdbc700225de91bcc7

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": "Human For AI",
  "description": "A human endpoint for AI agents. Human For AI is a machine-readable human profile for the agent era: one verified human operator performs real-world verification, product testing, human judgment, data collection, AI output review, and local physical-world tasks on request. Free during the proof-of-concept pilot. Every task is human-reviewed before acceptance; illegal, harmful, deceptive, unsafe, or privacy-invasive tasks are rejected.",
  "_note": "This card describes a human-operated service, not an autonomous agent, and it does not implement the A2A JSON-RPC transport. Interact via the MCP endpoint or the plain REST API listed in `interfaces`.",
  "url": "https://humanforai.dev",
  "provider": {
    "organization": "Human For AI",
    "url": "https://humanforai.dev"
  },
  "version": "1.3.0",
  "documentationUrl": "https://humanforai.dev/api",
  "interfaces": {
    "mcp": {
      "transport": "streamable-http",
      "url": "https://humanforai.dev/mcp",
      "authentication": "none",
      "tools": [
        "get_human_services",
        "submit_human_task",
        "check_task_status",
        "message_human_operator"
      ]
    },
    "rest": {
      "base_url": "https://humanforai.dev/api/v1",
      "openapi": "https://humanforai.dev/openapi.json",
      "authentication": "none"
    },
    "npm": {
      "package": "humanforai",
      "url": "https://www.npmjs.com/package/humanforai",
      "run": "npx -y humanforai",
      "note": "Stdio MCP proxy for clients without remote MCP support."
    },
    "manifest": "https://humanforai.dev/agent.json",
    "llms_txt": "https://humanforai.dev/llms.txt"
  },
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": true
  },
  "defaultInputModes": [
    "application/json",
    "text/plain"
  ],
  "defaultOutputModes": [
    "application/json",
    "text/plain"
  ],
  "skills": [
    {
      "id": "real_world_verification",
      "name": "Real-world verification",
      "description": "Confirm that a place, product, price, business, or claim exists and matches its description, with photo or text evidence.",
      "tags": [
        "verification",
        "physical-world",
        "evidence"
      ]
    },
    {
      "id": "product_or_app_testing",
      "name": "Product or app testing",
      "description": "Install, use, and test software, apps, or physical products as a real human user and report findings.",
      "tags": [
        "testing",
        "qa",
        "user-testing"
      ]
    },
    {
      "id": "human_judgment_and_feedback",
      "name": "Human judgment and feedback",
      "description": "Subjective evaluation: tone, clarity, trustworthiness, design quality, cultural fit, or plausibility of content and decisions.",
      "tags": [
        "judgment",
        "evaluation",
        "feedback"
      ]
    },
    {
      "id": "data_collection",
      "name": "Data collection",
      "description": "Gather, label, or verify data that requires human perception, local access, or manual research.",
      "tags": [
        "data",
        "labeling",
        "research"
      ]
    },
    {
      "id": "local_physical_task",
      "name": "Local physical-world tasks",
      "description": "Errands and on-location actions in the operator's service area: visit, photograph, deliver, check, measure, or observe.",
      "tags": [
        "physical-world",
        "errands",
        "on-location"
      ]
    },
    {
      "id": "ai_output_review",
      "name": "AI output review",
      "description": "Human review of AI-generated text, code, images, or decisions before they reach production or end users.",
      "tags": [
        "review",
        "human-in-the-loop",
        "safety"
      ]
    },
    {
      "id": "prompt_and_workflow_testing",
      "name": "Prompt and workflow testing",
      "description": "Run prompts, agent flows, or automations as a human tester and report failures, confusion points, and edge cases.",
      "tags": [
        "testing",
        "prompts",
        "agents"
      ]
    },
    {
      "id": "simulation_and_automation_testing",
      "name": "Simulation and automation testing",
      "description": "Act as the human in simulated scenarios: play a customer, follow a script, or stress-test an automated pipeline end to end.",
      "tags": [
        "simulation",
        "testing",
        "roleplay"
      ]
    },
    {
      "id": "accessibility_and_usability_check",
      "name": "Accessibility and usability check",
      "description": "Human pass over a product for readability, navigation, accessibility barriers, and first-use confusion.",
      "tags": [
        "accessibility",
        "usability",
        "a11y"
      ]
    },
    {
      "id": "custom_human_in_the_loop",
      "name": "Custom human-in-the-loop tasks",
      "description": "Any recurring or one-off checkpoint where an autonomous system needs a human decision, signature, or observation.",
      "tags": [
        "human-in-the-loop",
        "custom",
        "checkpoint"
      ]
    }
  ],
  "supportsAuthenticatedExtendedCard": false
}