Astro AI vs Adept
Detailed side-by-side comparison to help you choose the right tool
Astro AI
Business AI Solutions
Postman's AI Agent Builder for creating, testing, and deploying AI agents that can discover, integrate, and interact with APIs using Postman's platform and collections.
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CustomAdept
π΄DeveloperBusiness AI Solutions
Adept AI licenses its ACT-1 Action Transformer technology to enterprise partners, enabling them to build AI agents that visually control any computer software using natural language commands. Through its partnership model, Adept provides screen-reading AI models, proprietary training datasets, and technical consultation for building custom agentic automation solutionsβoffering an alternative to traditional RPA platforms for organizations with complex, multi-application workflows.
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Astro AI - Pros & Cons
Pros
- βBuilt on Postman's mature API platform used by over 30 million developers, providing proven infrastructure and a familiar interface for API-centric agent development
- βAccess to Postman's public API Network with over 100,000 documented APIs from providers like AWS, Stripe, Twilio, and Salesforce β agents can integrate without manual setup
- βLeverages existing Postman features for monitoring, testing with Newman CLI, and collaboration, reducing the need for additional tooling
- βFreemium model with a free tier allows teams to evaluate the platform before committing; paid plans start at $14/user/month (Basic) billed annually
- βStrong API-first approach means agents are grounded in real OpenAPI 3.x and GraphQL specifications rather than ad-hoc tool definitions
- βWorkspace-based collaboration makes it straightforward for teams to share and iterate on agent configurations
Cons
- βTightly coupled to Postman's ecosystem, which may not suit teams that don't already use Postman for API development
- βPrimarily focused on API interaction agents rather than general-purpose AI agent development β teams needing non-API agent capabilities may require additional tools
- βAs a 2025 addition to the Postman platform, some features are still evolving and documentation may be limited in areas
- βEnterprise pricing requires contacting sales, making cost comparison difficult for larger organizations
- βLess framework flexibility compared to open-source orchestration tools like LangChain or CrewAI that support arbitrary agent architectures
Adept - Pros & Cons
Pros
- βWorks with any desktop or web application without requiring API integrations - ideal for legacy systems and custom enterprise software
- βNatural language interface makes automation accessible to non-technical business users without requiring Python, JavaScript, or RPA scripting knowledge
- βAdvanced reinforcement learning adaptation handles interface changes and unexpected scenarios, reducing the 30-40% maintenance overhead typical of traditional RPA deployments
- βBacked by $415M in funding with founding team including Ashish Vaswani (transformer architecture co-inventor) and former Google/OpenAI research leads
- βACT-1 model can execute multi-step workflows spanning 10+ applications in a single natural language command, eliminating manual context switching
- βEnterprise-grade partnership model provides deep customization and dedicated technical consultation unavailable from off-the-shelf RPA vendors
Cons
- βPartnership-only access model with no self-service signup or public availabilityβrequires direct enterprise sales engagement and significant upfront investment
- βNo transparent pricing published; licensing fees, professional services, and ongoing consultation costs are negotiated per partnership
- βRequires extensive screen access permissions that may conflict with zero-trust security policies and SOC 2/HIPAA compliance frameworks
- βFollowing 2024 strategic shift, key talent moved to Amazonβraising questions about long-term product roadmap continuity for partners
- βVisual-only automation cannot handle command-line interfaces, headless servers, or API-only backend systems common in modern DevOps workflows
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