{"ok":true,"host":"x402-gateway-production.up.railway.app","status":"ready","manifest":{"positioning":"This host aggregates four unrelated capabilities under a single payment gateway: sandboxed code execution, crypto market snapshots, vector embeddings, and LLM text generation. It serves agents that need one or more of these primitives without standing up separate infrastructure. It is not specialized in any single domain and does not offer streaming, persistence, or inter-skill orchestration natively.","host_overview":"x402-gateway-production.up.railway.app exposes four distinct API skills: remote code execution in a sandboxed environment, a snapshot of top cryptocurrency market data, text embedding generation, and text completion via a hosted Llama-family model. It is a general-purpose API gateway rather than a domain-specific service. Each skill is stateless and invoked independently via HTTP.","routing_guidance":"Use this host when an agent needs sandboxed code execution, a bulk crypto market snapshot, text embeddings, or Llama-based text generation and does not want to manage separate infrastructure for each. For real-time or streaming crypto prices, use a dedicated ticker or WebSocket feed instead. For streaming LLM token output, confirm stream=true is supported or use a purpose-built streaming LLM endpoint. For image or audio generation, this host has no applicable skills. For persistent or long-running code processes (over 5 minutes), use a dedicated compute environment. For fine-tuned or non-Llama models (e.g. GPT-4, Claude), use their respective provider APIs. This host is best suited for agents that need one or two of these primitives in a single-call, stateless fashion.","capability_clusters":[{"skill_names":["generate-text-llama"],"cluster_name":"LLM Text Generation","cluster_summary":"Generates text completions, structured JSON, summaries, and conversational responses using a hosted Llama-family model with configurable sampling parameters."},{"skill_names":["generate-text-embeddings"],"cluster_name":"Text Embeddings","cluster_summary":"Converts text strings into dense vector representations suitable for semantic search, clustering, and similarity scoring."},{"skill_names":["run-code-snippet"],"cluster_name":"Remote Code Execution","cluster_summary":"Runs arbitrary code snippets in a remote sandbox and returns stdout, stderr, exit code, and timing, eliminating the need for local execution infrastructure."},{"skill_names":["fetch-crypto-markets"],"cluster_name":"Crypto Market Data","cluster_summary":"Retrieves a ranked snapshot of top cryptocurrency market entries including price, volume, market cap, supply, and 24h change metrics for multiple coins in a single call."}],"cross_skill_workflows":[{"steps":[{"skill_name":"fetch-crypto-markets","description":"Retrieve current price, volume, market cap, and 24h change data for top cryptocurrencies."},{"skill_name":"generate-text-llama","description":"Pass the market data as context in a prompt to generate a natural-language summary, trend analysis, or structured JSON report."}],"when_to_use":"Use when an agent needs to fetch current crypto market data and then produce a human-readable analysis, summary, or structured report from that data.","workflow_name":"Crypto Market Analysis with LLM Summary"},{"steps":[{"skill_name":"generate-text-embeddings","description":"Convert candidate text documents or query strings into vector representations."},{"skill_name":"generate-text-llama","description":"Use the LLM to synthesize, rerank, or explain the results identified via embedding similarity."}],"when_to_use":"Use when an agent needs to embed a corpus of text and then use an LLM to reason over or rank the most semantically relevant results.","workflow_name":"Semantic Search Index Builder"},{"steps":[{"skill_name":"generate-text-llama","description":"Prompt the Llama model to produce a code snippet in a target language based on a task description."},{"skill_name":"run-code-snippet","description":"Execute the generated code in the remote sandbox and return stdout, stderr, and exit code to validate the result."}],"when_to_use":"Use when an agent needs to generate a code snippet with an LLM and then immediately execute it to verify correctness or retrieve computed output.","workflow_name":"LLM-Generated Code Execution"}]},"model":"claude-sonnet-4-6","version_no":3,"generated_at":"2026-05-30T04:38:38.021Z","provenance":"ai_authored_unreviewed","ai_authored":true,"merchant_reviewed":false,"merchant_edited":false,"merchant_reviewed_at":null,"merchant_edited_at":null,"skill_md_url":"https://x402gle.com/servers/x402-gateway-production.up.railway.app/SKILL.md","skills_url":"https://x402gle.com/servers/x402-gateway-production.up.railway.app/skills.json"}