What is Crow?

Crow is a language-user-interface platform for embedding production-ready AI agents into applications.

Deploy agents in hours using a single script tag or SDK, reducing engineering time spent on infrastructure.

Connect backends via OpenAPI or MCP and use the tool orchestration layer to expose APIs for agent actions and workflows.

Ingest and index documents, spreadsheets, images, and screenshots with built-in knowledge management for retrieval-augmented responses.

Capture full LLM tracing and observability—every model call, tool invocation, and decision—for debugging and auditability.

Use the built-in evaluation framework and monitoring to track success rates, failure patterns, sentiment, and low-confidence signals.

Enterprise features include SOC2-ready security, audit logs, and compliance controls for production deployments aimed at engineering and product teams.

Crow pricing

Basic $49.99/mo

Crow user reviews

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Crow's key features

Drop-in integration via a single script tag or SDK
OpenAPI / MCP integration that wraps backend endpoints as callable agent tools
Tool orchestration layer for coordinating API calls, tool invocations, and workflows
Knowledge management with parsing and retrieval for PDFs, Excel files, images, and screenshots
Full LLM tracing and built-in observability and evaluation framework (LLM calls, tool invocations, decision traces, and metrics)

Crow use cases

Embed a production-ready AI customer support agent into your web or mobile app using Crow's single script tag or SDK, connecting OpenAPI backends and indexed documents to deliver fast retrieval-augmented answers and seamless human escalation
Orchestrate multi-step AI workflows—combining question answering, summarization, and task automation—using Crow's agent orchestration and evaluation tools, with end-to-end LLM tracing and observability to monitor model behavior and optimize performance in production
Build a compliant knowledge-management pipeline by ingesting and indexing internal documents into Crow, enabling secure retrieval-augmented responses with audit logs, model monitoring, and enterprise access controls to satisfy security and regulatory requirements