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Crucible vs Project Moonshot

Crucible

crucible-security.github.io

Project Moonshot

aiverifyfoundation.sg

Side by side

FigureCrucibleProject Moonshot
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
Windows—Yes
macOS—Yes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published31
Spec score · AI Security Testing Tools7.8 (#14)8.3 (#8)
IntegrationsIt supports LangChain, CrewAI, AutoGen, raw MCP endpoints, and agents with an HTTP or MCP interface.Users can configure connections to their LLMs and create custom connector endpoints through the Web UI or CLI guides.
Intended usersThe Community plan is for individual builders and open-source projects, and Team is for teams shipping agents to production.The maker describes Moonshot as a tool for AI developers, compliance teams, and AI system owners evaluating LLMs and LLM applications.
MakerThe team page names Khalid Saifullah Sayyed as Founder & Core and says the team was built in 2026.AI Verify Foundation is a not-for-profit wholly owned subsidiary of Singapore’s Infocommunications Media Development Authority.
PurposeCrucible stress-tests AI agents against attack vectors including prompt injection, goal hijacking, and tool misuse before production.Project Moonshot is an open-source toolkit for testing the safety and reliability of LLMs and LLM applications through benchmarking and red teaming.
ReportsScans produce an A–F graded report with severity, OWASP mapping, and reproduction steps.Moonshot provides interactive HTML reports and downloadable raw JSON results for programmatic analysis.
SupportThe Community plan lists Discord support, while Team lists priority support and Enterprise lists dedicated security engineering support.The Moonshot FAQ directs users who need more help to raise an issue on GitHub.

Plans

Crucible

  • CommunityFree
  • EnterprisePriced on request
  • TeamPriced on request

Crucible pricing →

Project Moonshot

  • Project MoonshotFree

Project Moonshot pricing →

In their own words

Crucible

Crucible is a self-hosted security scanner for testing AI agents before production. It checks attack behavior such as prompt injection, goal hijacking, jailbreaks, unsafe output, and tool misuse. Instead of reviewing generated text alone, it evaluates tool calls, side effects, and outcomes. The site lists 11 modules and 153 attack vectors, covering eight of ten OWASP Agentic risks, with two in development. Crucible runs 90 attack payloads in under 60 seconds and produces an A–F report with severity, OWASP mapping, and reproduction steps. It supports LangChain, CrewAI, AutoGen, raw MCP endpoints, and agents with HTTP or MCP interfaces. The pip-installed CLI supports Python 3.10+. Local scanning needs no signup and has no telemetry by default. Community is free; Team and Enterprise add monitoring, dashboards, support, SSO, audit logs, deployment options, and custom modules.

Visit crucible-security.github.io

Project Moonshot

Project Moonshot is an open-source toolkit for evaluating the safety and reliability of large language models and applications. It runs benchmark tests using open-source datasets and metrics, and generates adversarial prompts to probe possible vulnerabilities and misuse. Users can build custom evaluations with their own datasets, optional prompt templates, metrics, and grading scales. Results appear in interactive HTML reports and downloadable raw JSON. Moonshot provides a Web UI, interactive command-line interface, library APIs, and Web APIs, with configurable connections to model providers including OpenAI, Anthropic, Together, and Hugging Face. Users can also create connectors for other models or applications hosted on custom servers. The toolkit implements benchmarks recommended in IMDA’s Starter Kit for safety testing LLM-based applications. Moonshot is free beta software under Apache License 2.0. Installation uses pip and requires Python 3.11; the Web UI additionally requires Node.js 20.11.1 LTS or later, and test assets are needed to run tests. The installation guide recommends Chrome for the Web UI and notes possible installation difficulties on x86 Macs with moonshot-data dependencies.

Visit aiverifyfoundation.sg