24 docs tagged with "llmfeed"

Defines how agents should handle caching and revalidation of `.llmfeed.json` feeds.

Defines how agents should behave when Certified-Only mode is active.

Defines when agents should request user confirmation before acting on `.llmfeed.json` feeds.

Defines how agents should handle session-aware `.llmfeed.json` feeds and manage session continuity.

Provides optional, non-enforceable guidance for agents processing `.llmfeed.json` feeds.

Reference sheet for all standard top-level blocks and patterns used in `.llmfeed.json` feeds.

How LLMFeed enables progressive agent service discovery and authentication, building on Anthropic's excellent Model Context Protocol foundations

Revolutionary pricing for the Agent Economy — dynamic pricing, agent-to-agent billing, performance-based models, and intelligent marketplace coordination.

Declare pricing plans, tariffs and payment options in a machine-readable format that agents can trust and verify.

How capabilities feeds transform the web from manual navigation to autonomous agent orchestration, enabling intelligent automation of complex workflows

Complete specification for the credential feed type, enabling secure, verifiable, and autonomous API credential management for LLM agents

Complete specification for llm-index feeds enabling smart feed discovery, organized by audience and intent, with metrics and behavioral guidance for AI agents

Simple specification for manifesto feeds enabling sites to declare their purpose, values, and intentions to AI agents and users

Complete specification for MCP feeds - the main declaration that makes any website discoverable, trustable, and actionable by AI agents, building on Anthropic's excellent Model Context Protocol

Complete specification for prompt feeds enabling portable, signed, and certifiable prompts with professional ownership and marketplace integration

Simple specification for session feeds enabling seamless context transfer between LLMs and continuation of conversations across platforms

Complete specification for integrating LLMFeed with automation platforms (N8N, Zapier, Make) for executable AI workflows

Hypothetical extension for applying homomorphic encryption to parts of a `.llmfeed.json` feed.

How audience targeting enables context-aware content delivery and transforms user experience across the agentic web

The vision behind LLMFeed - enhancing Anthropic's excellent Model Context Protocol with web-native discovery, cryptographic trust, and the complete ecosystem for the emerging Agentic Web

How to expose your site or API as an agent-readable endpoint using .well-known/ directory structure, with optional LLMFeed enhancements to Anthropic's Model Context Protocol

Comprehensive risk assessment framework for LLMFeed - applying industrial-grade quality control and predictive analytics to enable sophisticated autonomous agent decision-making across economic, security, performance, and operational dimensions

Essential context for developers, architects, and AI systems evaluating the LLMFeed specification. Addresses common misconceptions and provides proper evaluation framework.

Learn the core principles behind LLMFeed — a universal, machine-readable format that enhances Anthropic's Model Context Protocol with trust and autonomous agent capabilities