Agent37
Host and monetize your Claude skills with shareable links, no setup required.
TL;DR
Agent37 hosts and monetizes Claude AI skills (with MCP configs), allowing instant access via links without user setup, plus Stripe payments where creators keep 80%. It's for Claude skill creators (e.g., coaches, developers) wanting to productize expertise without DevOps. Key differentiator: seamless hosted trials/subscriptions vs. manual downloads/local installs.
Our Take
Agent37 occupies a niche in the emerging Claude Code ecosystem, focusing on solving the distribution and monetization pain points for custom Claude skills and MCP servers. As Claude skills gain traction for agentic workflows, platforms like this bridge the gap between creators and end-users by providing frictionless hosting and payments, positioning it ahead of GitHub repos or manual shares. Strengths include high creator payout (80%), no-setup user experience, analytics for iteration, and integration with Stripe—making it stand out from general marketplaces like Gumroad that lack AI-specific hosting. Early Reddit/HN buzz highlights its utility for code review skills, YC advisors, etc., with positive founder-led demos. Limitations: Heavy reliance on Claude ecosystem limits broader appeal; sparse independent reviews suggest early-stage maturity, potential scalability issues untested. No free tier limits beyond trials, and lack of advanced orchestration (e.g., budgets, memory mgmt) keeps it hosting-focused. Best suited for indie creators/productizers of Claude skills (coaches, devs) seeking quick monetization, not enterprises needing full agent platforms.
Pros
- + Instant skill access via links—no Claude setup or account needed for users.
- + Creators retain 80% revenue via Stripe subs, higher than typical marketplaces.
- + Tracks usage/conversions for data-driven iteration on skills/pricing.
- + Handles MCP configs and infra, eliminating DevOps for creators.
- + 1-on-1 onboarding and free trials boost adoption, as seen in user testimonials (e.g., 43 subs).
Cons
- - Limited to Claude skills/MCP—no multi-model support.
- - Few independent reviews; mostly founder posts on Reddit, potential bias.
- - Early-stage product; scalability/reliability for high-traffic skills unproven.
- - No visible pricing tiers or volume discounts mentioned.
- - Ecosystem dependency: tied to Claude's growth and changes.
Sentiment Analysis
Agent37 receives positive mentions primarily on Reddit and X (Twitter), focused on its utility for hosting Claude AI skills, OpenClaw instances, and code review tools. Users appreciate ease of use, affordability, and innovative features like skill monetization and sandbox testing. No reviews found on G2, Capterra, or TrustRadius. Key themes: developer tools for AI agents, seamless sharing/hosting, and growing popularity in AI/Claude communities.
Sentiment Over Time
By Source
25 mentions
Sample quotes (3)
- "And I love the idea of agent37 too - monetize your Claude skill 👏 Good job!"
- "This is fire!"
- "the local-review skill from agent37 that will review code changes before committing"
15 mentions
Sample quotes (3)
- "Vishnu (@an_engineer_log) built agent37.com, which allows you to launch an OpenClaw instance for just $4.00/month!"
- "Started Building in Public with a goal to hit 1k MRR. And we finally did it with agent37.com."
- "@an_engineer_log built agent37.com, which allows you to launch an OpenClaw instance for just $4.00/month! I'm in the queue and excited to ..."
Screenshot
Features
Prompt Management
Editing and tracking of LLM prompts
Allows to version prompts and track / compare different variants over time
Compliance & Security
Security certifications, compliance features, and access control capabilities.
SOC 2 Type I or Type II certification.
ISO 27001 information security certification.
Built-in tools for GDPR compliance (data export, deletion, consent).
Complete audit log of all data changes.
Granular permissions based on user roles.
Single Sign-On integration support.
AI Engine Coverage
Coverage and support for various AI models, LLMs, and search engines.
List of AI models and LLMs supported for tracking (e.g., ChatGPT, Gemini).
How often metrics are updated (e.g., real-time, daily).
Support for tracking in multiple countries or regions.
Orchestration Capabilities
Core features for coordinating and executing AI agent workflows.
Supports orchestration of multiple collaborating agents.
Maintains agent state and memory across interactions.
Automatically routes requests across multiple LLM providers.
Supports agents calling external tools or functions.
Deployment & Scalability
Deployment models and scalability features for production use.
Primary way to deploy and run the orchestration.
Supports multiple teams or users from single deployment.
Automatic scaling for high-load agent workflows.
Compatible with serverless/serverless-like deployments.
Observability & Monitoring
Tools for tracking performance, costs, and debugging agent runs.
Monitors and budgets LLM usage costs per run.
Detailed traces of agent steps and decisions.
Visual graphs or dashboards of agent flows.
Metrics like latency, throughput for agent executions.
Developer Experience
Tools and abstractions easing agent development and iteration.
No-code/low-code UI for designing agent workflows.
OpenAI API-compatible endpoints or SDKs.
Available as open-source with community contributions.
Programming languages with official SDK support.
