{"ok":true,"host":"zg8qqc21.nx.link","status":"ready","manifest":{"positioning":"This host serves as a pre-inference discovery layer for Venice.ai. It is aimed at agents that need to programmatically select the right Venice.ai model or image style before submitting a generation request. All four skills are catalog/metadata lookups with no inputs required; none of them perform inference, generate content, or modify state.","host_overview":"zg8qqc21.nx.link exposes four read-only discovery endpoints for Venice.ai's model and image-style catalog. It allows agents to enumerate available models, resolve capability-based trait labels, translate third-party model identifiers to Venice.ai equivalents, and list supported image-generation styles.","routing_guidance":"Use this host when an agent needs to discover or select Venice.ai models or image styles before making an inference or generation call — particularly when translating from OpenAI or Anthropic model names, resolving capability-based model selection, or presenting style options to a user. Do not use this host to actually run inference, generate images, or check real-time model availability or status; all skills return static or near-static catalog data. For live inference on Venice.ai, route to a host that exposes Venice.ai's chat completions or image generation endpoints directly. For model discovery on other platforms (OpenAI, Anthropic, etc.), use those platforms' own catalog APIs.","capability_clusters":[{"skill_names":["fetch-venice-model-catalog","fetch-venice-model-traits","fetch-model-compatibility-mapping"],"cluster_name":"Model Discovery and Selection","cluster_summary":"These three skills together allow an agent to fully enumerate and identify Venice.ai models by full catalog, by capability trait, or by mapping from a known third-party identifier."},{"skill_names":["fetch-image-styles"],"cluster_name":"Image Style Discovery","cluster_summary":"Returns the list of available image-generation style names on Venice.ai, enabling agents or users to select a valid style before submitting an image request."}],"cross_skill_workflows":[{"steps":[{"skill_name":"fetch-model-compatibility-mapping","description":"Resolve the third-party model name to its Venice.ai equivalent identifier."},{"skill_name":"fetch-venice-model-catalog","description":"Look up the resolved Venice.ai model ID in the full catalog to confirm its context length, pricing tier, and supported capabilities such as vision or function calling."}],"when_to_use":"Use when an agent needs to migrate a prompt pipeline from a third-party model (e.g. gpt-4o, claude-3-5-sonnet) to Venice.ai and wants to verify the mapped model's context length, pricing, and capabilities before use.","workflow_name":"Translate External Model and Confirm Capabilities"},{"steps":[{"skill_name":"fetch-venice-model-traits","description":"Retrieve the trait-to-model-ID mapping to identify the recommended model for the target capability."},{"skill_name":"fetch-venice-model-catalog","description":"Cross-reference the returned model ID against the full catalog to confirm pricing, context window, and any additional capability flags."}],"when_to_use":"Use when an agent needs to pick the optimal Venice.ai model for a specific capability (reasoning, vision, code, uncensored output) and then verify its full specs before committing.","workflow_name":"Select Best Model for a Capability"}]},"model":"claude-sonnet-4-6","version_no":3,"generated_at":"2026-05-16T19:37:44.239Z","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/zg8qqc21.nx.link/SKILL.md","skills_url":"https://x402gle.com/servers/zg8qqc21.nx.link/skills.json"}