Mazza AI Studio

{
  "name": "Mazza AI Studio",
  "description": "AI agent providing 21 payment-gated endpoints for AI-powered services: consultation, knowledge recall, chatbot development, workflow automation, character generation, UI/UX design, long-form Q&A, MCP evaluation, negotiation simulation, puzzle generation, RAG pipelines, Monte Carlo simulation, SQL generation, spreadsheet automation, story generation, time-series analysis, web agent planning, worldbuilding, competitive benchmarking, and workflow automation. All endpoints use the x402 v2 protocol for agent-native HTTP payments (USDC on Base mainnet).",
  "version": "1.0.0",
  "documentationUrl": "https://mazzagrp.com/llms.txt",
  "provider": {
    "url": "https://mazzagrp.com",
    "organization": "Mazza AI Studio"
  },
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "extendedAgentCard": false
  },
  "supportedInterfaces": [
    {
      "url": "https://mazzagrp.com/api",
      "protocolBinding": "HTTP+JSON"
    }
  ],
  "securitySchemes": {
    "x402": {
      "type": "http",
      "scheme": "bearer",
      "description": "x402 v2 payment protocol. Send PAYMENT-SIGNATURE header with base64-encoded PaymentPayload (EIP-3009 signed authorization for USDC on Base mainnet). Facilitator: x402.org/facilitator"
    }
  },
  "securityRequirements": [
    {
      "scheme": "x402"
    }
  ],
  "defaultInputModes": [
    "application/json",
    "text/plain"
  ],
  "defaultOutputModes": [
    "application/json",
    "text/plain"
  ],
  "skills": [
    {
      "id": "consultation",
      "name": "AI Strategy Consultation",
      "description": "Full AI strategy consultation with decision traces and policy hashes.",
      "tags": [
        "consulting",
        "strategy",
        "ai"
      ],
      "examples": [
        "What AI stack should I use for a SaaS startup?"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "recall",
      "name": "Verified Knowledge Recall",
      "description": "Cheap verified memory lookups for agents.",
      "tags": [
        "memory",
        "recall",
        "knowledge"
      ],
      "examples": [
        "Recall the last 3 decisions from context X"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "chatbot",
      "name": "Chatbot Development",
      "description": "Generate chatbot conversation flows and system prompts.",
      "tags": [
        "chatbot",
        "conversational-ai"
      ],
      "examples": [
        "Design a support chatbot for a fintech app"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "automation",
      "name": "Agent Workflow Design",
      "description": "Full agent workflow design with step-by-step execution plans.",
      "tags": [
        "automation",
        "workflow",
        "agents"
      ],
      "examples": [
        "Automate lead qualification from email to CRM"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "character",
      "name": "Character Consistency Generation",
      "description": "Generate consistent character profiles for stories and games.",
      "tags": [
        "character",
        "creative",
        "consistency"
      ],
      "examples": [
        "Create a consistent villain backstory"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "design",
      "name": "UI/UX Design Generation",
      "description": "Generate UI/UX design specifications and component layouts.",
      "tags": [
        "design",
        "ui",
        "ux"
      ],
      "examples": [
        "Design a mobile onboarding flow"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "desktop",
      "name": "Desktop Automation Planning",
      "description": "Plan desktop automation workflows for RPA scenarios.",
      "tags": [
        "desktop",
        "automation",
        "rpa"
      ],
      "examples": [
        "Automate Excel report generation from CRM data"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "longqa",
      "name": "Long-Form Verified Q&A",
      "description": "Long-form question answering with verified sources.",
      "tags": [
        "qa",
        "verification",
        "long-form"
      ],
      "examples": [
        "Explain the differences between L1 and L2 rollups"
      ],
      "inputModes": [
        "application/json",
        "text/plain"
      ],
      "outputModes": [
        "application/json",
        "text/plain"
      ]
    },
    {
      "id": "mcp-eval",
      "name": "MCP Tool Chain Evaluation",
      "description": "Evaluate MCP tool chains for security and correctness.",
      "tags": [
        "mcp",
        "evaluation",
        "security"
      ],
      "examples": [
        "Evaluate my MCP server's tool chain for vulnerabilities"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "negotiator",
      "name": "Negotiation Simulation",
      "description": "Simulate negotiation scenarios with counterparty modeling.",
      "tags": [
        "negotiation",
        "simulation",
        "strategy"
      ],
      "examples": [
        "Simulate a SaaS pricing negotiation"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "puzzles",
      "name": "Logic Puzzle Generation",
      "description": "Generate logic puzzles for testing reasoning capabilities.",
      "tags": [
        "puzzles",
        "logic",
        "reasoning"
      ],
      "examples": [
        "Generate a constraint satisfaction puzzle"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "rag",
      "name": "RAG Pipeline Construction",
      "description": "Build RAG pipeline configurations for document retrieval.",
      "tags": [
        "rag",
        "retrieval",
        "pipelines"
      ],
      "examples": [
        "Build a RAG pipeline for legal documents"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "simulation",
      "name": "Monte Carlo Simulation",
      "description": "Run Monte Carlo simulations for decision modeling.",
      "tags": [
        "simulation",
        "monte-carlo",
        "modeling"
      ],
      "examples": [
        "Simulate 1000 iterations of a product launch"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "sql",
      "name": "SQL Query Generation",
      "description": "Generate optimized SQL queries from natural language.",
      "tags": [
        "sql",
        "database",
        "queries"
      ],
      "examples": [
        "Generate a query for top 10 customers by revenue"
      ],
      "inputModes": [
        "application/json",
        "text/plain"
      ],
      "outputModes": [
        "application/json",
        "text/plain"
      ]
    },
    {
      "id": "sheets",
      "name": "Spreadsheet Automation",
      "description": "Generate spreadsheet formulas and automation scripts.",
      "tags": [
        "spreadsheets",
        "automation",
        "formulas"
      ],
      "examples": [
        "Create a budget tracking spreadsheet with formulas"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "storyforge",
      "name": "Story Generation",
      "description": "Generate multi-arc stories with consistent characters.",
      "tags": [
        "story",
        "creative",
        "narrative"
      ],
      "examples": [
        "Write a 3-act story about a space colony"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "temporal",
      "name": "Time-Series Analysis",
      "description": "Analyze time-series data for trends and anomalies.",
      "tags": [
        "time-series",
        "analysis",
        "forecasting"
      ],
      "examples": [
        "Analyze monthly sales data for seasonality"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "webagent",
      "name": "Web Agent Planning",
      "description": "Plan web agent execution strategies for scraping and automation.",
      "tags": [
        "web-agent",
        "scraping",
        "planning"
      ],
      "examples": [
        "Plan a scraping strategy for a job board"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "worldbuilder",
      "name": "Worldbuilding Generation",
      "description": "Generate detailed fictional worlds with consistent lore.",
      "tags": [
        "worldbuilding",
        "creative",
        "lore"
      ],
      "examples": [
        "Build a fantasy world with 3 continents"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "arena",
      "name": "Competitive Benchmarking",
      "description": "Benchmark competing agent approaches head-to-head.",
      "tags": [
        "benchmarking",
        "arena",
        "comparison"
      ],
      "examples": [
        "Compare GPT-4 vs Claude on reasoning tasks"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "autoflow",
      "name": "Workflow Automation",
      "description": "Generate end-to-end workflow automation plans.",
      "tags": [
        "automation",
        "workflow",
        "integration"
      ],
      "examples": [
        "Automate invoice processing from email to ERP"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    }
  ]
}