Spotlight on Model Access Capability

Overview of Model Access Capability

The Model Access capability allows users to call large language models (LLMs) and other models through a unified interface. This capability is essential for developers looking to integrate various AI services seamlessly. It is categorized under AI Services and is known by several aliases, including model access, LLM gateway, inference API, and model router.

Records Declaring Model Access

As of the latest data, there are 179 records that declare the Model Access capability. This indicates a significant interest and implementation of this functionality across various AI services. The records are published in the official Model Context Protocol registry, which serves as a comprehensive source for developers seeking to utilize these capabilities.

Live Records

Out of the total records, 48 are currently observed as live. This means that these records have been checked successfully within the last 24 hours, ensuring that they are operational and available for use. The following are some of the top live records:

• TensorFeed: Provides AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.
• mosADD — the comms layer for AI agents: Enables voice commands for AI agents through PTT rooms, channels, E2EE DMs, agent email, and private recall.
• mcp-server: Facilitates the discovery, invocation, and trustless verification of ForceDream AI agents with cryptographic proofs, offering 17 tools.
• Openrouter: Provides access to OpenRouter Models MCP.
• Huggingface: Connects to the Hugging Face Hub MCP, which includes models, datasets, and spaces.
• Paperswithcode: Allows browsing of ML research papers and their corresponding code repositories.
• invinoveritas: An AI-agent verifier that commits verdicts before grading outcomes against them, featuring endpoints like /review and /ledger.
• google-sign-in-langchain-agent: A Google Sign-In LangChain Agent.

These live records represent a diverse range of functionalities and services that leverage the Model Access capability, making them valuable resources for developers.

Querying for Model Access

An orchestrator can query for the Model Access capability using the following example queries:

1. To search for records with the Model Access capability that are currently live:

   https://wellknown.network/api/v1/search?capability=ai.model-access&status=live
   

2. To resolve a request for model access while requiring live records:

   https://wellknown.network/api/v1/resolve  {"need": "model access", "requireLive": true}
   

These queries allow developers to efficiently find and utilize AI services that provide model access, ensuring they are working with the most current and operational resources available. By leveraging these capabilities, developers can enhance their applications with advanced AI functionalities.

This data is a snapshot as of 2026-09-14.