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Agent Atlas

Agent-Native Project

31/40Current Score

This grant is in the 2-week review period. Final decisions will be made after all applications are evaluated.

AI Evaluation Feedback

The project presents a strong concept with a clear problem and solution. The team has relevant experience. However, the application lacks detail in the social media and Farcaster strategy, and the provided information on milestones and budget requires further clarification.

FoundationScore: 8/10

Agent Atlas aims to create a decentralized LLM agent directory and reputation system to improve discoverability and trustworthiness of AI agents.

Team ExperienceScore: 9/10

The team includes an AI engineer (ex-Anthropic), a protocol developer (4 YOE), and a product expert (ex-Figma).

Distribution StrategyScore: 7/10

The applicant mentions using social media for application submission but does not provide a detailed plan.

Milestones & BudgetScore: 7/10

M1 (15K): Launch directory + verification system; M2 (15K): Frame integration + first 500 agents; M3 (10K): Scale to 8K+ monthly tx

Project Details

Target AudienceThe target audience is developers and users of AI agents.

Success MetricsThe success metrics are focused on the number of registered agents, successful transactions, and overall user engagement.

Budget Request40K POL distributed across three milestones.

Open Source Bonus

+0 points

No information about open source contributions is provided.