AI TOOL PROFILE
Schema: Infrastructure Intelligence for AI SRE Agents
- Software Development
- IT Infrastructure Monitoring
- Software Companies
- Enterprise Teams
- SRE Teams
- AI Agent Developers
Pricing
Schema offers a Free tier at $0/month for open-source producers and a Pro tier at $29/month, which includes access to 200+ infrastructure producers and higher API rate limits.
At a glance
- Best for
- Software Companies, Enterprise Teams, SRE Teams, AI Agent Developers
- Key use cases
- AI SRE Agent Support, Observability Metric Grounding, Infrastructure Knowledge Retrieval
- Integrations
- Datadog, Dynatrace, Prometheus, OpenTelemetry
- Official website
- Visit schema official website

How AI is used
Schema is a product intelligence layer that provides structured data, documentation, and guidance for infrastructure components. It is designed for AI SRE agents and assistants, providing external knowledge that large language models may not reliably retrieve through training or web searches.
The tool supports teams managing environments including databases, cloud platforms, and containers. It provides this intelligence through three interfaces: an MCP Server, a Direct API with Bearer authentication, and a CLI.
By grounding AI agents in authoritative sources such as official documentation, source code, and benchmarks, Schema supports infrastructure operations. Buyers should confirm if their AI agent workflow is compatible with the provided access methods and check the producer list to ensure their specific technology stack is supported.
Key Features
Authoritative Source Grounding
Links AI agents to original sources including official documentation, source code, and benchmarks.
MCP Server Access
Provides a Model Context Protocol server for integrating infrastructure intelligence with AI agents.
Bearer Authenticated API
Allows programmatic access to query metrics, insights, and guidance via a direct API.
User Boundary Data Isolation
Designed to keep data within the user's defined boundary.
Token-Efficient Structured Context
Structures data to minimize context usage for LLM processing.
CLI Access
Offers a command-line interface for interacting with the platform.
Use Cases
AI SRE Agent Support
Providing AI assistants with telemetry semantics and operational guidance to manage infrastructure.
Observability Metric Grounding
Offering structured observability metrics for databases, cloud platforms, and containers.
Infrastructure Knowledge Retrieval
Using the API or MCP server to fetch context on product updates and operational guidance for cloud services.
Integrations
- Datadog
- Dynatrace
- Prometheus
- OpenTelemetry
FAQ
What is Schema used for?
- Schema provides an intelligence layer that gives AI SRE agents structured knowledge, metrics, and guidance to help them operate infrastructure.
How does Schema integrate with AI agents?
- It offers three main surfaces for integration: an MCP Server, a Direct API with Bearer authentication, and a CLI.
What is the difference between the Free and Pro plans?
- The Free plan supports open-source producers and 80 API requests/minute, while the Pro plan ($29/month) provides access to 200+ producers, all observability backends, and 1,000 API requests/minute.
Source category: Software Development
Source subcategory: IT Infrastructure Monitoring
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