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Frigade Assist API Review

Frigade Assist API integrates a product expert into existing AI agents, enabling real-time guidance and answers based on current product features.

shipped Sep 9, 2026paid
Domain rating57Monthly visits81/mo
Frigade Assist API — product screenshot

Why it matters

1Launched September 8, 2026, extending the Frigade Assistant platform.
2Base Plan starts at $1,000/month with usage-based scaling.
3Features proprietary function calling and Frigade proprietary models.
4Supports integrations with Slack and Vercel AI SDK.

About Frigade Assist API

Business Model
Subscription SaaS
Usage Pricing
Usage-based per call
Headquarters
San Francisco, CA
Platforms
Web, API
Target Audience
Product and engineering teams

Pricing Plans

Base Plan
$1,000/mo
  • • Usage-based scaling as you grow
  • • No surprise bills when your product scales
  • • Enterprise plans available for advanced security

Cost Examples

  • • Starting at $1,000 per month with usage-based scaling as you grow
GitHub

overview

What is Frigade Assist API?

Frigade Assist API is an AI tool developed by Frigade that enables software companies shipping their own AI agents to empower them with expert product knowledge. It allows AI agents to answer questions, guide users, and complete tasks in real time based on a product's current features and functionalities. The API integrates Frigade's browser-based agent, which learns a product by actively using it, navigating workflows, and understanding feature connections, ensuring knowledge is always up-to-date with the live version. This capability transforms an AI agent into a specialized onboarding and support assistant, reducing reliance on static knowledge bases.

features

Key Features of Frigade Assist API

The Frigade Assist API provides a suite of features designed to enhance AI agents with product expertise and dynamic interaction capabilities. These features enable AI agents to understand and interact with a product's live environment, offering accurate and context-aware assistance.

  • Generative UI: The Frigade Assistant generates dynamic UI elements such as tables, cards, choices, and confirmations to present answers and actions, moving beyond plain text responses.
  • AI-Generated Tours: Automatically creates product tours based on the AI's understanding of workflows.
  • Always Accurate: The system learns by actively using the product, ensuring that its knowledge base is continuously updated with the live version of the product's features and functionalities.
  • Integrations: Supports connections with platforms like Slack and Vercel AI SDK for extended functionality.
  • Skills: Allows the AI assistant to discover and perform actions within the product using natural language, often without requiring explicit code.
  • Proprietary Function Calling: Utilizes Frigade's own function calling mechanisms to interact with product features.
  • Frigade Proprietary Models: Employs Frigade's own AI models for processing and generating responses.
  • Multimodality (Text): Primarily processes and generates text-based information and interactions.

use cases

Who Should Use Frigade Assist API?

Frigade Assist API is primarily designed for software companies and their development, support, and customer experience teams who aim to enhance their in-product AI agents with deep, real-time product knowledge. It addresses critical needs in user engagement and support.

  • Software companies shipping their own AI agents: To integrate a product expert directly into their existing AI solutions.
  • Developers: To build AI agents that can understand and interact with their product's live environment.
  • Support and customer experience teams: To deflect routine support queries, provide in-app assistance, and improve user satisfaction.
  • Product teams: To drive user activation, feature adoption, and expansion by offering contextual guidance and task completion within the product.
  • Virtual CSMs: To automate aspects of customer success, guiding users through complex workflows and ensuring product value realization.

how to use

How to Use Frigade Assist API

To utilize Frigade Assist API, companies integrate the API into their existing AI agent infrastructure. The process involves connecting the API to allow Frigade's browser-based agent to learn the product and then leveraging its capabilities for user interaction.

  • 1Integrate the Frigade Assist API into your existing AI agent or application using the provided API endpoints.
  • 2Configure Frigade's browser-based agent to access and learn your product by actively navigating its workflows and features.
  • 3Define specific use cases such as user onboarding, in-app support, or task completion for the AI agent.
  • 4Utilize the API to enable your AI agent to answer user questions, provide real-time guidance, and complete tasks within the product.
  • 5Monitor and evaluate the AI agent's performance, leveraging Frigade's evaluation-driven development insights for continuous improvement.

pricing

Frigade Assist API Pricing & Plans

Frigade Assist API operates on a paid subscription model, starting with a Base Plan and scaling with usage. Pricing updates in August 2026 included annual billing discounts for the Growth plan and limited features for evaluation in the Free plan.

  • Base Plan: $1,000/month. This plan serves as the entry point for utilizing the Frigade Assist API.
  • Usage-based per call: Costs scale beyond the base plan based on the volume of API calls made.
  • Growth Plan: Offers annual billing discounts (details not specified beyond existence).
  • Free Plan: Provides limited features for evaluation purposes.

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Pros

  • +Real-time product knowledge: AI agent learns by actively using the product, ensuring up-to-date information and guidance.
  • +Dynamic UI generation: Generates interactive UI elements (tables, cards) for richer user interactions beyond plain text.
  • +Automated task completion: Enables the AI agent to perform actions and complete tasks for users directly within the product.
  • +Significant support deflection: Users report resolving hundreds of queries monthly, reducing support ticket volume.
  • +Easy integration: Described by users as straightforward to integrate, with some teams going live within days.
  • +Automatic adaptation to product changes: Eliminates manual documentation updates as the AI adapts to new features and workflows.

Cons

  • −Paid pricing model: Starts at $1,000/month, which may be a barrier for smaller companies or startups.
  • −Proprietary models and function calling: Reliance on Frigade's proprietary technology may limit customization or interoperability with other specific AI models.
  • −Limited multimodality: Currently supports text-based interactions, with other modalities not explicitly listed.
  • −Requires existing AI agent: Designed to integrate with a company's existing AI agent, not a standalone AI assistant solution.

Similar Tools

Frigade Assist API vs Competitors

Frigade Assist API differentiates itself in the market by focusing on an AI-native approach where its agent learns a product by actively using it, contrasting with traditional digital adoption platforms and other RAG solutions that rely on static data or manual configurations.

1
Kapa↗

Provides a knowledge retrieval API specifically designed for product-specific AI agents, handling ingestion, indexing, and answer grounding.

Kapa offers a similar hosted API for product knowledge, but its focus might be broader on the 'agent layer' and UI components, whereas Frigade emphasizes learning product features by using the product itself.

2
OpenRAG↗

A modular, open-source RAG framework that provides an OpenAI-compatible API for building document-grounded AI systems.

OpenRAG requires self-hosting and development effort to integrate and maintain, offering full control over the stack, unlike Frigade's managed, out-of-the-box API service.

3
R2R↗

An open-source, agentic RAG system that provides a ready-to-use API for connecting LLMs to custom data.

R2R is an open-source, self-hostable API that requires setup and maintenance, providing flexibility but lacking the fully managed, product-feature-learning capabilities of Frigade Assist API.

4
LlamaIndexOn Stork

A data framework that helps connect custom data sources to large language models for building custom RAG applications.

LlamaIndex is a library that requires significant development effort to build and host your own RAG API, offering maximum customization but not the immediate, integrated 'product expert' functionality of Frigade Assist API.

See every Frigade Assist API alternative, compared→

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