AI agent statistics
Live data from the world's largest AI agent index
5M+
assets indexed
—
agents & tools
—
MCP servers
—
models
trust distribution
Based on Nerq trust scoring (security, compliance, maintenance, popularity, ecosystem).
| Level | Count | Distribution |
|---|---|---|
| TRUSTED (score 60+) | — | |
| CAUTION (score 35-59) | — | |
| UNTRUSTED (score <35) | — | |
| Average trust score | — |
top categories
| Category | Count | Avg Trust |
|---|
top frameworks
| Framework | Count |
|---|
top languages
| Language | Count |
|---|
Methodology
Nerq Trust Score is a composite 0-100 score based on five pillars: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), Ecosystem (10%). Agents scoring 60+ are TRUSTED, 35-59 CAUTION, below 35 UNTRUSTED. Data is crawled from npm, PyPI, HuggingFace, GitHub, Docker Hub, and MCP registries.
Data from Nerq · Updated via API ·