Linear API vs Notion API
Detailed side-by-side comparison to help you choose the right tool
Linear API
🔴DeveloperProject Management
GraphQL API, MCP server, webhooks, and developer tooling for building Linear integrations and engineering workflow automations.
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Starting Price
$0Notion API
🔴DeveloperIntegrations
Developer platform for building integrations with Notion workspaces. Access databases, pages, and content programmatically for AI agent workflows.
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Starting Price
$0 API access with Notion workspaceFeature Comparison
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💡 Our Take
Choose Linear API when the core object is engineering work; choose Notion API when the workflow centers on documents, databases, and knowledge bases.
Linear API - Pros & Cons
Pros
- ✓Provides GraphQL access to core Linear workspace data including issues, projects, teams, cycles, and comments.
- ✓API and webhook access are included on the Free plan, which lowers the barrier for testing integrations.
- ✓Supports both personal API keys for internal automation and OAuth for user-authorized apps.
- ✓Linear documents a remote MCP endpoint at https://mcp.linear.app for compatible AI clients.
- ✓The Business plan at $16 per user per month when billed yearly includes advanced workflow and insight features.
- ✓Linear states that more than 25,000 companies use the platform.
Cons
- ✗The primary public API is GraphQL-first, so teams expecting REST endpoints may need onboarding time.
- ✗The Free plan is useful for testing but limited to 2 teams and 250 issues.
- ✗Some AI-facing capabilities are labeled beta or evolve quickly.
- ✗Webhook-based integrations still require teams to operate reliable receiving infrastructure.
- ✗Linear's opinionated workflow model may be a poor fit for organizations that require heavy customization.
Notion API - Pros & Cons
Pros
- ✓API access is generally used with Notion workspace plans rather than sold as a separate metered developer product, making it practical for teams already paying for Notion.
- ✓Supports both internal connections and public OAuth-style connections, so developers can build private workspace automations or user-facing marketplace integrations.
- ✓Agent-focused documentation includes Agent APIs, Notion MCP, and custom agents, which makes it directly relevant for AI assistants that need to read and write workspace knowledge.
- ✓Covers core Notion objects including pages, databases, blocks, comments, files, media, users, and views, allowing integrations to work with real workspace structures rather than only flat documents.
- ✓Versioned API upgrade paths are documented for 2025-09-03 and 2026-03-11, giving production teams a clearer migration process when behavior changes.
- ✓Documented limits such as 3 requests per second, 500KB payloads, and 1,000 block elements make capacity planning more concrete than APIs with vague fair-use language.
Cons
- ✗The 3 requests per second per integration limit can be restrictive for high-volume sync jobs, bulk migrations, or agents that need to update many pages quickly.
- ✗The block model is powerful but requires extra development work; creating or editing rich Notion pages is more complex than writing plain Markdown to a file.
- ✗Request constraints such as 500KB payload size, 1,000 block elements, and 2,000 character field limits can force batching logic in larger content workflows.
- ✗Integrations must be designed around Notion permissions and connection setup, which can add onboarding friction for multi-workspace or customer-facing products.
- ✗The public documentation shown does not expose standalone API pricing tiers, so buyers still need to evaluate the underlying Notion workspace plan costs separately.
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