Crow

About Crow

Crow is an add-on that brings a chat-first AI copilot directly into web products and can execute real actions through a product's API. It aims to get teams up and running quickly by generating tools from an OpenAPI spec and providing a small frontend script to drop into an app.

Review

Crow presents a practical approach for teams that want an in-product assistant capable of performing tasks rather than only answering questions. The setup workflow-upload an OpenAPI spec, generate tools, and embed a script-keeps integration straightforward, and the team is actively iterating on safety and observability features.

Key Features

• Automatic tool generation from an uploaded OpenAPI specification to map API endpoints into agent actions.
• Drop-in frontend script that provides a chat-first copilot UI inside your product.
• Agent executes API calls on behalf of the authenticated user, using existing JWT/session validation so it does not bypass app auth.
• Access controls via a strict tool allow-list plus a managed proxy option for rate limiting, OpenAPI validation, shared-secret verification, and request logging.
• Options to control what data is sent to the model and support for routing to your own LLM provider to reduce external exposure of data.

Pricing and Value

The launch information lists a free tier available at release, making it easy to experiment without an upfront cost. The main value is shortening the engineering work needed to add an actionable copilot and providing built-in controls to respect existing authentication and permissions. Details on paid or enterprise plans for managed proxy and analytics were not fully specified on the launch page.

Pros

• Fast integration path for turning an API-backed product into a chat-first copilot.
• Respects existing user authentication and enforces endpoint-level allow-lists to limit agent scope.
• Managed proxy and logging features address common safety and observability concerns.
• Flexibility to use your own LLM provider and control what data is shared with models.

Cons

• Early-stage product: some features are still being developed and the experience can feel rough in places.
• Requires a reasonably well-documented API (OpenAPI) and engineering time to map sensitive actions and guardrails.
• Any agent that can act on behalf of users increases operational risk, so teams need to plan permissions, monitoring, and rollback procedures.

Overall, Crow is a strong fit for SaaS teams and product teams with API-first architectures who want to add an in-product assistant that can perform tasks. It is best suited to teams willing to invest a short setup effort to define safe endpoint allow-lists and monitoring, and to those who prefer retaining control over data routing and authentication.

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