cred-1
★ 17
vs
ADR
★ 2.1k
cred-1 vs ADR
cred-1: CRED-1 is an open, reproducible domain-level credibility dataset that provides scores for over 2,600 domains known to publish unreliable content. It functions as both a CLI tool and a JavaScript library, and integrates with AI assistants via MCP for real-time misinformation checking.; ADR: ADR (Agentic Detection and Response) is an open-source framework designed to secure AI agents utilizing the Model Context Protocol (MCP). It comprises an ADR Sensor for telemetry collection and an ADR Detector, which serves as a dual-agent benchmark and detection system.
01
TL;DR
cred-1Security & Safety · ★ 17
AI Assistant Integration for Misinformation Detection
ADRSecurity & Safety · ★ 2.1k
When to choose:
- You research detection for MCP-based agents and want to reproduce the MLSys 2026 ADR paper.
- You want a benchmark: ADR-Bench has 133 MCP servers and 303 tasks with baselines.
- You want to collect telemetry from Claude Code, Cursor and Codex into one schema with the sensor.
When to skip:
- You want a packaged product to deploy: this is research code for a paper.
- You want the ADR Explorer red-teaming engine: the README says it is not included.
- You cannot pay for Anthropic and OpenAI API calls: the default detector needs both.
02
Side-by-Side Comparison
Field
Category
Security & Safety
Security & Safety
Stars
★ 17
★ 2.1k
License
CC-BY-4.0
Apache-2.0
Install Command
npm install -g @aloth/cred1
git clone https://github.com/uber/ADR && cd ADR/Detection && uv sync
Updated
3d ago
4d ago
Open Source
Yes
Yes
Tags
Misinformation Detection, Credibility Dataset, Web Integrity
AI Agent Security, Telemetry, Detection System
03
Features
01Domains with Credibility Scores
02Dual-mode CLI and Library
03Fully Reproducible Dataset Pipeline
04Multi-Signal Scoring
05Privacy-Preserving & On-Device
01ADR Sensor for collecting and normalizing agent telemetry.
02ADR Detector, a dual-agent detection system with 133 MCP servers and 303 benchmark tasks.
03Support for the Model Context Protocol (MCP) for securing AI agents.
04Provides a step-by-step workflow to reproduce benchmark detection and paper figures.
04
Use Cases
↳AI Assistant Integration for Misinformation Detection
↳Real-time Domain Credibility Checks via CLI or Library
↳Building Browser Extensions for Content Warnings
↳Dataset for Machine Learning Pipelines and Research
↳Securing AI agents that use the Model Context Protocol (MCP).
↳Benchmarking and evaluating the security performance of agentic AI systems.
↳Collecting and analyzing telemetry data from various AI agent platforms.
↳Red-teaming and defensive security research for agentic AI.
05
Best For
—
Trending
FAQ
FAQ
What is the difference between cred-1 and ADR?
Both cred-1 and ADR are in the Security & Safety category. cred-1 has 17 stars, while ADR has 2.1k stars.
Which is better, cred-1 or ADR?
The best choice depends on your use case. Choose cred-1 if AI Assistant Integration for Misinformation Detection, and ADR if Securing AI agents that use the Model Context Protocol (MCP)..
Is cred-1 free or open source?
Yes, cred-1 is open source on GitHub (CC-BY-4.0).
Is ADR free or open source?
Yes, ADR is open source on GitHub (Apache-2.0).
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