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Schema: Infrastructure Intelligence for AI SRE Agents

Schema helps companies provide AI SRE agents with the infrastructure context needed to support operations. It is designed for teams looking to reduce repetitive SRE tasks and support operational reliability.

At a glance

Best for
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.
Key use cases
AI SRE Agent Support, Observability Metric Grounding, Infrastructure Knowledge Retrieval
Integrations
Datadog, Dynatrace, Prometheus, OpenTelemetry
Official website
schema.ai
Screenshot of schema website

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.

Best For

Software CompaniesEnterprise TeamsSRE TeamsAI Agent Developers

Integrations

DatadogDynatracePrometheusOpenTelemetry

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.

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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