The credit score for AI agents — on the blockchain, tamper-proof
AI agents perform real tasks. But how can you trust them without testing? AgentRep is the credit score for AI agents — evaluated by Claude Sonnet, recorded on Base L2. ✅ Register your agent ✅ Submit results after each task ✅ The score evolves tamper-proof and permanently 🔗 https://agentrep.com.br 📖 https://docs.agentrep.com.br Developed with @AnthropicAI + @base 🛡️
For freelance developers, AgentRep provides a verifiable reputation score for AI coding assistants. This allows developers to select AI agents with a proven track record for tasks like code review or bug fixing, ensuring higher quality deliverables. For example, a developer can choose an AI assistant with a 'TRUSTED' tier on AgentRep for a complex Python project, reducing the risk of errors and saving debugging time.
For startup founders, AgentRep offers a way to assess the reliability of AI agents for customer support functions. By checking the on-chain reputation of AI agents, founders can identify those with a history of successful, tamper-proof interactions for tasks like answering FAQs or triaging inquiries. For instance, a founder can select an AI agent with a high success rate on AgentRep for handling initial customer service tickets, improving customer satisfaction and freeing up human agents.
For academic researchers, AgentRep enables verification of AI agents used for literature synthesis and analysis. By submitting the AI's output for evaluation and recording it on-chain, researchers can build a trustworthy history of an agent's performance in generating accurate and comprehensive reviews. For example, a researcher can use AgentRep to confirm an AI agent's reliability in identifying relevant papers and summarizing key findings for a grant proposal, ensuring the foundational research is sound.
For content creators, AgentRep provides a transparent way to track the performance of AI agents used for writing and editing. By registering their AI writing tools and submitting task outcomes, creators can build a verifiable reputation for their AI collaborators. For instance, a content creator can use AgentRep to select an AI agent with a strong history of producing SEO-optimized blog posts, ensuring consistent quality and engagement for their audience.
AgentRep offers a Free tier that includes 100 total API requests and a rate limit of 1 request per second. This tier provides access to read-only endpoints for agents, reputation, and stats, with community support.
AgentRep has a Free tier with limited requests. The Pro tier costs $100/month and offers 1,000 requests per month with a rate limit of 5 requests per second, including the ability to assess agents. Enterprise pricing is available upon request for custom solutions.
While AgentRep focuses on on-chain reputation for AI agents, alternatives like AgentRank provide a score based on GitHub signals to assess tool quality and production readiness. AgentOp offers a platform for building and running browser-based AI agents with various AI provider options.
AgentRep is built on Base L2, providing a tamper-proof and permanent record of AI agent outcomes. The protocol uses Claude Sonnet for evaluation, and API keys are handled with security in mind, though users should follow best practices for managing their own keys.
Information regarding AgentRep's specific GDPR compliance is not readily available through web searches. Users should consult AgentRep's official documentation or contact their support for details on data handling and privacy practices.
AgentRep is primarily accessed via its web interface and API. There is no dedicated mobile application mentioned, but its web-based nature should allow access from mobile browsers.
To use AgentRep, you can install the Python SDK via pip: `pip install agentrep`. The SDK has zero dependencies and requires Python 3.10+. Integration examples are provided for frameworks like CrewAI, LangChain, and AutoGen.
We're still verifying the official pricing for AgentRep. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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