Understand the client's task
Ask about the customer's use case, chosen SDK, API version and current setup step. Follow up on missing details that change the work, and keep confirmed information separate from assumptions.
AI agent for api product operators
Your AI API onboarding agent. Their first request, working.
Create an AI API onboarding agent with its own page and URL. Give your clients a first successful API request with a documented setup path the customer can reuse through text or voice.
Include the agent in developer onboarding so customers can reach a working integration before scheduling specialist help.
01
Your client starts a conversation.Your client talks through the task by text or voice.
02
Illustrative previewThe page becomes their result.The agent makes the whole page the result of that conversation.
- ~15-20 minFirst demo
- ~3-5 hoursWorking agent
- 1 clickPublish
Overview
With Agentplace, you create an AI API onboarding agent for API product operators. It gets its own page and URL. Clients open its link, describe the customer's use case, chosen SDK, API version and current setup step, and work toward a first successful API request with a documented setup path the customer can reuse. You provide your quickstart, authentication guide, endpoint reference and tested request examples.
Choose the smallest documented request that proves the customer's setup works. Explain the required fields and permissions, show an example for their chosen language and interpret the response they receive. Switching SDKs changes the code example while preserving the endpoint, version and intended result. Completed setup steps remain visible.
Include the agent in developer onboarding so customers can reach a working integration before scheduling specialist help. The agent chooses and updates the content and components across its whole page. Clients can inspect the current result while directing the work through text or voice.
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What you get
AI API onboarding agent for API product operators
An AI API onboarding agent is a customer-facing specialist for API product operators. Clients open its link, describe the customer's use case, chosen SDK, API version and current setup step, and work toward a first successful API request with a documented setup path the customer can reuse. You provide your quickstart, authentication guide, endpoint reference and tested request examples.
Include the agent in developer onboarding so customers can reach a working integration before scheduling specialist help.
Deliver the usable result
Choose the smallest documented request that proves the customer's setup works. Explain the required fields and permissions, show an example for their chosen language and interpret the response they receive. Switching SDKs changes the code example while preserving the endpoint, version and intended result. Completed setup steps remain visible.
Connect the result to your service
Include the agent in developer onboarding so customers can reach a working integration before scheduling specialist help. Use secure credentials and a configured sandbox for executed requests. The agent should not invent undocumented endpoints, retry rules or account permissions.
- Your expert method
- Text and voice
- A personal result
- Connected service tools
A first successful API request with a documented setup path the customer can reuse.
Why it's the best fit
AI API onboarding agent vs. pages, forms and chat widgets
Give clients a first successful API request with a documented setup path the customer can reuse.
Choose the smallest documented request that proves the customer's setup works. Explain the required fields and permissions, show an example for their chosen language and interpret the response they receive.
 Your AI API onboarding agentOne specialist. The whole client experience. | The extra workWith traditional tools Websites, fixed-flow apps, and chat widgets. |
|---|---|
| 01The client experience | |
| A result during the visit Choose the smallest documented request that proves the customer's setup works. Explain the required fields and permissions, show an example for their chosen language and interpret the response they receive. | With traditional toolsA page that describes the service A service page can explain the offer and show examples. Delivering a first successful API request with a documented setup path the customer can reuse still requires the client to begin a separate process. |
| Changes stay connected Switching SDKs changes the code example while preserving the endpoint, version and intended result. Completed setup steps remain visible. | With traditional toolsA fixed sequence of fields A fixed form can collect the customer's use case, chosen SDK, API version and current setup step. Changing a requirement after submission often needs another conversation and a new version of the result. |
| The page holds the work The agent controls the whole page and presents a first successful API request with a documented setup path the customer can reuse as the current result. Clients use the bottom text or voice input to ask questions and revise it. | With traditional toolsA standalone message thread A chat reply can explain an answer. Keeping source material, choices, results and their current status visible together requires an interface beyond the message transcript. |
| 02Everything that comes with your agent | |
| A result during the visit Choose the smallest documented request that proves the customer's setup works. Explain the required fields and permissions, show an example for their chosen language and interpret the response they receive. | With traditional toolsA page that describes the service A service page can explain the offer and show examples. Delivering a first successful API request with a documented setup path the customer can reuse still requires the client to begin a separate process. |
| Changes stay connected Switching SDKs changes the code example while preserving the endpoint, version and intended result. Completed setup steps remain visible. | With traditional toolsA fixed sequence of fields A fixed form can collect the customer's use case, chosen SDK, API version and current setup step. Changing a requirement after submission often needs another conversation and a new version of the result. |
| The page holds the work The agent controls the whole page and presents a first successful API request with a documented setup path the customer can reuse as the current result. Clients use the bottom text or voice input to ask questions and revise it. | With traditional toolsA standalone message thread A chat reply can explain an answer. Keeping source material, choices, results and their current status visible together requires an interface beyond the message transcript. |
| Your method and evidence Use your quickstart, authentication guide, endpoint reference and tested request examples. Use secure credentials and a configured sandbox for executed requests. The agent should not invent undocumented endpoints, retry rules or account permissions. | With traditional toolsA general assistant The client must otherwise supply the relevant method, source material and service rules before a general assistant can work in the same context. |
Some traditional tools offer individual capabilities. Agentplace brings them into one AI service. Connect the payments, calendar, phone, CRM, and follow-up channels you want to use.
How it works
How to create your AI API onboarding agent
Define the service, test a real request and publish your agent. Start with the core task. Test the result and required connections before offering it to clients.
- 01
Add your method and source material
Provide your quickstart, authentication guide, endpoint reference and tested request examples. Define which details the agent needs about the customer's use case, chosen SDK, API version and current setup step. Give it examples of a useful result and a request that falls outside your offer.
- 02
Test the complete client task
Kai is testing a fictional ParcelKit API in Python. The first sandbox request asks for a rate for one domestic parcel. Use that kind of request to check the first result, a missing detail and a changed requirement. Use secure credentials and a configured sandbox for executed requests. The agent should not invent undocumented endpoints, retry rules or account permissions.
- 03
Publish and connect the next action
Publish the agent's page and share its URL. Include the agent in developer onboarding so customers can reach a working integration before scheduling specialist help. Connect the source, delivery, booking or payment tools required by that offer, and test their success and failure states before clients use them.
Made for your kind of business
AI API onboarding agent for API product operators
API product operators
Include the agent in developer onboarding so customers can reach a working integration before scheduling specialist help. Give a first-time client a concrete result from your expertise before they arrange further work.
Service delivery directors
Make the service consistent with your quickstart, authentication guide, endpoint reference and tested request examples. Keep the team focused on the specialist work and exceptions your offer includes.
Client service managers
Receive the client's accepted result and unresolved questions together. Switching SDKs changes the code example while preserving the endpoint, version and intended result. Completed setup steps remain visible.
Start with your specialtyAPI product operatorsClient service deliverySpecialist digital services
Your service, your starting point
Your method, source material and service rules
Configure the sources and actions needed for this particular service. Choose the relevant apps below and connect the accounts your agent should use.
Start with my expertiseGitHub
Read permitted code and project issues. Connect the relevant account and choose which records and actions the agent can use.
Figma
Review shared interface designs and comments. Connect the relevant account and choose which records and actions the agent can use.
Asana
Create agreed project tasks for your team. Connect the relevant account and choose which records and actions the agent can use.
Notion
Use the client's requirements and documentation. Connect the relevant account and choose which records and actions the agent can use.
Calendly
Schedule a project scoping review. Connect the relevant account and choose which records and actions the agent can use.
Gmail
Deliver the agreed project plan. Connect the relevant account and choose which records and actions the agent can use.
Integrations
Tools your AI API onboarding agent can connect
Connect the tools you use to deliver this service. Your agent can use their records and actions while helping clients on its own page. Choose the relevant connections below and decide what it can read, create, or send.
- GitHubRead permitted code and project issues
- FigmaReview shared interface designs and comments
- AsanaCreate agreed project tasks for your team
- NotionUse the client's requirements and documentation
- CalendlySchedule a project scoping review
- GmailDeliver the agreed project plan
Your AI
API onboarding agent
API onboarding agent
Your expertise.
Their personal result.
One connected service.
Go further with 1,000+ integrations.
Agentplace connects to business tools through Composio's catalog of over 1,000 integrations. These six examples are a starting point. Choose the apps and actions your agent needs while clients keep working on its page.
Available connections depend on the app's API and your account permissions.
Browse the integration catalogConnected agents
Connect to your ChatGPT or Claude agents
Your AI API onboarding agent stays with the client. Your separately connected ChatGPT or Claude agents can retrieve the quickstart for the chosen sdk version and return the result to the same client experience.
Retrieve the quickstart for the chosen SDK version.
Your clients Kai
Kai, your first sandbox rate request succeeded.
origin_postal = 97201, destination_postal = 98101, weight_kg = 2, length_cm = 30, width_cm = 20, height_cm = 10. Your AI
API onboarding agent
API onboarding agent
Your expertise.
Their personal result.
One connected service.
Your back-office agents
ChatGPT
Claude
- Retrieve the quickstart for the chosen SDK version
- Run an authorized minimal sandbox request
- Compare the returned fields with the endpoint reference
A few things to know
AI API onboarding agent FAQ
What is an AI agent for API onboarding?
An AI API onboarding agent is a customer-facing specialist for API product operators. Clients open its link, describe the customer's use case, chosen SDK, API version and current setup step, and work toward a first successful API request with a documented setup path the customer can reuse. You provide your quickstart, authentication guide, endpoint reference and tested request examples.
Can the agent help before a customer has written code?
Yes. It explains the required account setup, chooses an appropriate quickstart and helps the customer understand the smallest useful request before they implement it.
What should I provide before launching?
Provide your quickstart, authentication guide, endpoint reference and tested request examples. Test the agent with representative client material and explain what it may do when a required input is missing. Use secure credentials and a configured sandbox for executed requests. The agent should not invent undocumented endpoints, retry rules or account permissions.
How does the result change during a conversation?
Switching SDKs changes the code example while preserving the endpoint, version and intended result. Completed setup steps remain visible. The agent updates the relevant components and content on its page, keeping the client's current choices visible while they use text or voice.
How does this fit my business offer?
Include the agent in developer onboarding so customers can reach a working integration before scheduling specialist help. Define the included work, revision scope and any optional continuation so clients understand what they receive.
Are the example and its connected tools already live?
The preview is a static illustration with fictional client details. Configure your own source access and action tools before offering the service. Use secure credentials and a configured sandbox for executed requests. The agent should not invent undocumented endpoints, retry rules or account permissions.
What platform does the AI API onboarding agent run on?
It runs on Agentplace. Agentplace is an AI agent platform where the agent gets its own page, talks to your visitors there, and carries the request through to the end instead of handing it to a form. You can open this template and change any step before you publish it.
Put your expertise to work during the first visit
Your AI API onboarding agent.
Ready to serve your clients.
Create an AI API onboarding agent with its own page and URL. Give your clients a first successful API request with a documented setup path the customer can reuse through text or voice.
Create my AI agent
Create my AI agent