{"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"]}]}