Paragon vs. Composio

Engineering teams pick Paragon over Composio for better stability, end-to-end support for tool calling and data ingestion use cases, and access to custom fields and objects.

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Why engineering teams pick Paragon over Composio

Built for developers at any scale. Paragon is not only more stable, but also supports more integration use cases and provides full access to 3rd-party schemas.

Platform Reliability

Challenges with platform stability and scale

Composio’s customers have shared challenges around product platform stability and down time - including a lack of a status page.

Paragon went through those growing pains in the past 5+ years, and is now trusted by enterprise AI companies like AI21, You.com, and Copy.ai

Merge is just an API, which means your team still needs to orchestrate the integration logic, build in error-handling, and build the infrastructure to support concurrency.

Paragon provides a serverless workflow engine so your team can easily implementing the business logic, either in code (Paragraph) or with a visual workflow builder, without worrying about the plumbing.

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Schemas

Subpar support for custom fields and objects

Composio’s tools don’t provide out-of-the-box support for custom objects and fields on the 3rd-party providers.

Paragon has been built to provide full coverage on tenant-specific 3rd-party schemas, enabling your AI agents to read and update any custom field/object.

Use Cases

Lack of support for data ingestion & sync

Composio doesn't support asynchronous use cases such as data ingestion for RAG or syncing records bidriectionally with your customers' systems of record. If you need to support these use cases, you'll need to build in-house or use another platform.

Paragon provides purpose-built tools to support both durable ingestion/sync jobs (with Workflows) and synchronous tool calls (with ActionKit).