Agent Registry
Agent Registry by Credal is a centralized control plane for enterprises to build, govern, and deploy AI agents and MCP servers, launched in 2022 and headquartered in New York.
Publisher review
Agent Registry by Credal is a centralized control plane for enterprises to build, govern, and deploy AI agents and MCP servers, launched in 2022 and headquartered in New York. It targets organizations that need to scale AI adoption securely across teams, particularly IT, engineering, sales, HR, and support. The platform provides a no-code agent builder, real-time performance monitoring, and automated compliance features, enabling companies like Checkr to achieve an 85% AI adoption rate among 1,400 employees.
It integrates with major data sources including Slack, GSuite, Notion, Microsoft, Salesforce, and Confluence, and supports multiple AI models such as Claude Opus 4.7, which the system selected in 180ms for a sample run. The registry tracks 24 agents, 18 verified, 6 third-party MCP servers, and over 1,000 actions, with 100% of runs audited and exportable to tools like Splunk and Datadog. Pricing starts at $500 per month for small teams, with additional users at $25 per month and extra API requests at $0.01 each, capped at $500.
The platform is powered by advanced machine learning algorithms and a flexible API, making it suitable for automating workflows like renewal call prep, which can pull account health, usage trends, open tickets, and draft briefing docs in under 1.4 seconds. Competitors include Credal, ChatGPT Enterprise, and other chat applications, but Agent Registry differentiates by focusing on governance and security within a chat context. Key trade-offs include its limitation to chat applications, significant setup requirements, and potential for shadow IT if not centrally managed.
Strengths include enhancing productivity, ensuring data security with auto-redaction of PII and PHI, empowering workflow automation, and providing comprehensive audit capabilities. Weaknesses include being limited to chat contexts, requiring substantial configuration, potential shadow IT risks, and a pricing model that may escalate with usage. The platform is designed for sectors like IT, engineering, sales, HR, and support, and has a highly rated team with 100% CEO approval on Glassdoor.
How it works
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No-code agent builder
Build agents without coding, specifying instructions and actions like pulling account health or drafting docs, as shown in the Renewal Call Prep agent.
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Real-time performance monitoring
Monitor agent runs live, with metrics like 247 runs this month for a sales agent, and latency details such as 180ms for model selection.
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Automated compliance and security
Enforce policies like mirroring user permissions, redacting PII before model processing, and requiring human approval for external writes.
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Multi-agent intelligence
Orchestrate complex tasks across multiple agents, with the registry managing 24 agents and 1,000+ actions available for coordination.
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Audit logging for AI activities
Log 100% of agent runs for audit, with export capabilities to Splunk and Datadog, ensuring full traceability of actions.
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Integration with major data sources
Connect to Slack, GSuite, Notion, Microsoft, Salesforce, Confluence, and more, as shown in the compatible logos on the homepage.
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Support for multiple AI models
Select from models like Claude Opus 4.7 automatically based on the task, with model choice recorded in audit logs.
Strengths and trade-offs
Strengths
- Enhances productivity and decision-making by automating workflows like renewal call prep, which drafts briefing docs in under 1.4 seconds.
- Ensures data security and compliance with auto-redaction of PII and PHI before the model sees any data.
- Empowers teams to automate workflows with no-code tools, as demonstrated by Checkr achieving 85% AI adoption across 1,400 employees.
- Provides comprehensive audit capabilities with 100% of runs logged and exportable to tools like Splunk and Datadog.
Trade-offs
- Limited to chat application context, which may not suit use cases requiring non-chat interfaces or standalone agent deployments.
- May require significant setup and configuration, as seen in the need to define roles, permissions, and integrate multiple data sources.
- Potential for shadow IT if not centrally managed, since employees can independently install MCP servers and build agents without oversight.
- Pricing can escalate with usage, as extra API requests cost $0.01 each and additional users cost $25 per month, potentially increasing total costs.
Pricing context
$500 per month for small companies/teams, additional users $25 per month, extra API requests $0.01 each capped at $500.
Getting started with Agent Registry
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Sign up for Agent Registry
Go to the Agent Registry website and create an account. Choose a pricing plan starting at $500 per month for small teams, and set up your organization profile to begin managing AI agents and MCP servers.
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Connect your data sources
Integrate your enterprise data sources by linking Slack, GSuite, Notion, Microsoft, Salesforce, or Confluence. Use the platform's connection wizard to authenticate and grant permissions for agent access to your team's content.
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Configure security and compliance
Set up automated compliance policies such as mirroring user permissions, redacting PII and PHI before model processing, and requiring human approval for external writes. Define roles and access controls to prevent shadow IT.
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Build your first agent
Use the no-code agent builder to create an agent by specifying instructions and actions, like pulling account health or drafting briefing docs. Select a task, choose an AI model (e.g., Claude Opus 4.7), and deploy the agent to your team.
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Monitor and audit agent runs
Track agent performance in real time using the monitoring dashboard, reviewing metrics like run count and latency. Export audit logs to Splunk or Datadog to ensure full traceability and compliance with organizational policies.
Frequently Asked Questions
What is Agent Registry by Credal?
Agent Registry is a centralized control plane for enterprises to build, govern, and deploy AI agents and MCP servers. Launched in 2022 and based in New York, it targets IT, engineering, sales, HR, and support teams needing secure AI adoption at scale.
How does Agent Registry ensure AI governance and compliance?
It enforces policies like mirroring user permissions, auto-redacting PII and PHI before model processing, and requiring human approval for external writes. It logs 100% of agent runs for audit, with export capabilities to Splunk and Datadog for full traceability.
What integrations does Agent Registry support?
It integrates with major data sources including Slack, GSuite, Notion, Microsoft, Salesforce, and Confluence. It also supports multiple AI models like Claude Opus 4.7, which the system can select automatically in 180ms for a given task.
What is the pricing for Agent Registry?
Pricing starts at $500 per month for small teams, with additional users at $25 per month and extra API requests at $0.01 each, capped at $500. This model can escalate with usage, so teams should monitor their consumption closely.
What are the main strengths of Agent Registry?
It enhances productivity by automating workflows like renewal call prep in under 1.4 seconds. It ensures data security with auto-redaction of sensitive data, empowers no-code automation, and provides comprehensive audit capabilities with 100% of runs logged.
What are the weaknesses of Agent Registry?
It is limited to chat application contexts, requires significant setup and configuration, and poses shadow IT risks if not centrally managed. Pricing can also escalate with usage due to per-user and per-API request costs.
Alternatives
How Agent Registry compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Agent Registry
- Pricing
- $500 per month for small companies/teams, additional users $25 per month, extra API requests $0.01 each capped at $500.
- Target
- Agent Registry by Credal is a centralized control plane for enterprises to build, govern, and deploy AI agents and MCP servers, launched in 2022 and
- Strength
- Enhances productivity and decision-making by automating workflows like renewal call prep, which drafts briefing docs in under 1.4 seconds.
- Watch for
- Limited to chat application context, which may not suit use cases requiring non-chat interfaces or standalone agent deployments.
Hugging Face Hub
- Pricing
- Free for public models; Pro at $9/month; Enterprise custom
- Target
- AI developers and researchers sharing models and datasets
- Deployment
- Cloud SaaS
- Strength
- Largest open-source model repository with built-in discovery and community
- Watch for
- Limited monetization for agent creators; moderation can be inconsistent
OpenAI GPT Store
- Pricing
- Free with ChatGPT Plus ($20/month) or Team ($25/user/month)
- Target
- ChatGPT users building custom GPTs for specific tasks
- Deployment
- Cloud SaaS
- Strength
- Direct integration with ChatGPT's large user base and ecosystem
- Watch for
- No direct monetization for creators; restricted to OpenAI's model stack
Apify
- Pricing
- Free tier; paid from $49/month; enterprise custom
- Target
- Developers needing web scraping and automation agents
- Deployment
- Cloud SaaS
- Strength
- Pre-built actors and monetization marketplace for agent publishers
- Watch for
- Primarily focused on scraping; less suited for general agent orchestration
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