State of AI Assets Q1 2026 — 143K agents, 17K MCP servers, all trust scored

State of AI Assets — Q1 2026 The first open census of the AI agent ecosystem. 5M+ assets. 143K agents & tools. All trust scored. We built Nerq to answer a simple question: what's actually out there in the AI agent ecosystem, and how much of it can you trust? After crawling six registries — GitHub, npm, PyPI, HuggingFace, Docker Hub, and MCP registries — we now have an answer. Here's what we found. The numbers 4,919,620 AI assets indexed. Of those, 143,642 are the executable components — agents, tools, and MCP servers — that power the emerging agentic economy. Every asset receives a Trust Score (0–100) based on security, maintenance, popularity, documentation, and ecosystem signals. Total AI assets 4,919,620 Agents & tools 143,642 MCP servers 17,468 Avg trust score 65.5 / 100 High trust (70+) 12.9% What's in the index Most of the 4.9M assets are ML models (2.6M), HuggingFace Spaces (1M), and datasets (795K). The actionable layer — what actually does things — is smaller but growing fast: