Agenta
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Add an AI agent side panel to your B2B SaaS product in a week without an AI Engineer

Create an AI agent from your existing APIs or MCP server that your customers can use to ask questions and do workflows in your product. Start with a side panel, and publish to Slack, Teams, Copilot, and Gemini Enterprise when you're ready

  • Your Web App
  • Your App
  • Email
  • Slack
  • Teams
  • Copilot
  • Gemini Enterprise
Features

All the latest developments, in a platform

Build an agent without starting a new coding project

  • Build an initial agent in minutes and deploy a production-ready agent to your product 12x faster (in a week compared to 3 months)
  • Build and customize your agent in the UI, with your coding agent via MCP, or with the in-app Agenta agent
  • No cloud infrastructure to set up and maintain

Integrate the agent into your web app

  • Add the agent to your web app with the Agenta SDK, a CopilotKit SDK wrapper
  • Write your own front-end code or use CopilotKit's components
  • Everything works out of the box: message streaming, threads, scheduled chats, etc.

Improve your agent automatically by rating chats

  • Use your ratings and customer feedback to improve your agent automatically
  • Optimize your agent to the latest models when they're released
  • Optimize your agent to smaller models that cost less money

Publish to Slack, Microsoft, and Google marketplace

  • Publish your agent to Slack, Microsoft, and Google marketplace so your customers can use it in Slack, Teams, Copilot, and Gemini Enterprise
  • Everything works out of the box: customer authentication, sending and receiving files, scheduled chats, etc.

Send and receive files like images, PDFs, and spreadsheets

  • Send your agent files like images, PDFs, and spreadsheets that can be used to input data into your product
  • The agent can also create files like reports and send them to your customers in-app, email, Slack, and more

Understand how your customers are using your agent and product

  • See who's using your agent in your web app, app, Slack, etc., the messages they're sending, and the problems they're facing
  • Keep track of how many credits each customer uses and set limits based on their subscription
Launch
app.buildagenta.com
How it works

Your API to production-ready agent in a week

  1. 01 Step 1

    Create an AI agent from an OpenAPI spec or MCP server

    Add an OpenAPI spec or an MCP server's URL, along with any custom headers.

    Agent Builder
  2. 02 Step 2

    Test with real conversations

    Chat to the agent and figure out where it fails. Once you know what's working and what isn't, you can add rubrics.

    Playground
  3. 03 Step 3

    Set rubrics and rate sessions

    A rubric can be anything you want: effectively communicates to the user, completes the task in the optimal amount of time, uses the correct tools and parameters, etc. Rate each chat against the rubrics, these will be used to optimize the agent.

    Rubrics & Scoring
  4. 04 Step 4

    Automatically optimize the agent

    Optimize the LLM-as-a-judge to rate sessions like you. Then, automatically optimize the agent.

    Optimization Run
  5. 05 Step 5

    Publish to your web app, app, Slack, Teams, Copilot, and Gemini Enterprise

    That's it. Continuously improve the agent by rating chats, and optimizing the rubrics and system instruction.

    Publish
Why add an agent?

A good in-app AI agent will make your product more valuable

Do tasks for your customers that they do manually or wouldn't do because it would take too much time

Answer questions about your product when they get stuck and help them discover features

This means you'll get more customers and make more money from new customers

More customers

  1. Evaluation

    More buyers will choose your product

  2. Switching

    More buyers will switch to your product

More money from new customers

  1. Activation

    Users will get to value in your product faster

  2. Conversion

    More users will become paying customers

Pricing

103x cheaper* than an AI Engineer

Pay as you go

Free

Build and optimize personal agents that you can chat to in the Agenta UI and in Slack.

Growth

$300 $225 /month

$2700 billed yearly

Build, optimize, and publish customer-facing agents that you can add to your web app, app, Slack, Teams, Copilot, and Gemini Enterprise.

Enterprise

Custom

Build, optimize, and publish customer-facing agents to a self-hosted version of Agenta that you can add to your web app, app, Slack, Teams, Copilot, and Gemini Enterprise.

LLM token credits $5/month $100/month Custom
Additional LLM token credits Market rate + 5% Market rate + 5% Market rate + 5%
Prompt optimization
Code mode
File upload and download
Agenta UI
AG-UI & A2A –
Slack, Teams/Copilot, & Gemini Enterprise Slack
Customer credits & customer linking –
Publish to Slack, Microsoft, & Google Marketplace –
Support Community Dedicated Dedicated
Forward deployed engineer A top 1% AI Engineer to help you build and maintain your agent – $100/hour $100/hour
Self-host – –
Try for free Upgrade Get in touch

* On the yearly Growth plan after LLM token credits have been deducted ($1,500) compared to the median AI Engineer salary in the US ($155,000)

FAQs

Questions, answered

Intercom, Sierra, and Decagon provide customer support and customer experience agents that handle customer support, answer FAQs, allow customers to make purchases, etc. Agenta is an AI agent platform for B2B SaaS to build agents from their APIs that their customers can use to perform actions, analyze data, complete complex multi-step workflows, and more.

No, you just need an API. However, Agenta also supports MCP servers, so if you've already built an MCP server you can use that.

Agenta is primarily for customer-facing agents, and our features like Slack, Teams, etc. compatibility, customer credits, and customer linking have been built around that. However, there's no limit to the number of agents you can build, optimize, and publish on Agenta.

Agenta is primarily for B2B SaaS, and our features, pricing, etc. have been built around that. However, there's nothing stopping you from using it for other use cases. If you do use it for something else, let us know!

Add an AI agent side panel to your B2B SaaS product in a week without an AI Engineer

Create an AI agent from your existing APIs or MCP server that your customers can use to ask questions and do workflows in your product. Start with a side panel, and publish to Slack, Teams, Copilot, and Gemini Enterprise when you're ready

Try for free Book a demo
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