Understand the client's task
Ask about the endpoint, redacted request, error response, API version and most recent change. 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 troubleshooting agent. A clear path through the error.
Create an AI API troubleshooting agent with its own page and URL. Give your clients a documented diagnosis and a tested recovery step for an integration error through text or voice.
Include troubleshooting in your support plan, with engineering help for unresolved defects.
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 troubleshooting agent for API product operators. It gets its own page and URL. Clients open its link, describe the endpoint, redacted request, error response, API version and most recent change, and work toward a documented diagnosis and a tested recovery step for an integration error. You provide your API documentation, error catalog, safe diagnostic steps and escalation rules.
Follow the error from the failed request to the relevant documented checks. Separate an observed permission or schema mismatch from an untested theory. Present the exact correction the customer can try and capture the result of that retry. If the corrected request still fails, retain the completed checks and build an engineering handoff that includes the remaining question and reproducible example.
Include troubleshooting in your support plan, with engineering help for unresolved defects. 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 troubleshooting agent for API product operators
An AI API troubleshooting agent is a customer-facing specialist for API product operators. Clients open its link, describe the endpoint, redacted request, error response, API version and most recent change, and work toward a documented diagnosis and a tested recovery step for an integration error. You provide your API documentation, error catalog, safe diagnostic steps and escalation rules.
Include troubleshooting in your support plan, with engineering help for unresolved defects.
Deliver the usable result
Follow the error from the failed request to the relevant documented checks. Separate an observed permission or schema mismatch from an untested theory. Present the exact correction the customer can try and capture the result of that retry. If the corrected request still fails, retain the completed checks and build an engineering handoff that includes the remaining question and reproducible example.
Connect the result to your service
Include troubleshooting in your support plan, with engineering help for unresolved defects. Credentials belong in a secure connection, never in the conversation. Changes to a customer environment require configured access and authorization. An unverified cause stays a hypothesis.
- Your expert method
- Text and voice
- A personal result
- Connected service tools
A documented diagnosis and a tested recovery step for an integration error.
Why it's the best fit
AI API troubleshooting agent vs. pages, forms and chat widgets
Give clients a documented diagnosis and a tested recovery step for an integration error.
Follow the error from the failed request to the relevant documented checks. Separate an observed permission or schema mismatch from an untested theory. Present the exact correction the customer can try and capture the result of that retry.
 Your AI API troubleshooting 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 Follow the error from the failed request to the relevant documented checks. Separate an observed permission or schema mismatch from an untested theory. Present the exact correction the customer can try and capture the result of that retry. | With traditional toolsA page that describes the service A service page can explain the offer and show examples. Delivering a documented diagnosis and a tested recovery step for an integration error still requires the client to begin a separate process. |
| Changes stay connected If the corrected request still fails, retain the completed checks and build an engineering handoff that includes the remaining question and reproducible example. | With traditional toolsA fixed sequence of fields A fixed form can collect the endpoint, redacted request, error response, API version and most recent change. 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 documented diagnosis and a tested recovery step for an integration error 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 Follow the error from the failed request to the relevant documented checks. Separate an observed permission or schema mismatch from an untested theory. Present the exact correction the customer can try and capture the result of that retry. | With traditional toolsA page that describes the service A service page can explain the offer and show examples. Delivering a documented diagnosis and a tested recovery step for an integration error still requires the client to begin a separate process. |
| Changes stay connected If the corrected request still fails, retain the completed checks and build an engineering handoff that includes the remaining question and reproducible example. | With traditional toolsA fixed sequence of fields A fixed form can collect the endpoint, redacted request, error response, API version and most recent change. 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 documented diagnosis and a tested recovery step for an integration error 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 API documentation, error catalog, safe diagnostic steps and escalation rules. Credentials belong in a secure connection, never in the conversation. Changes to a customer environment require configured access and authorization. An unverified cause stays a hypothesis. | 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 troubleshooting 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 API documentation, error catalog, safe diagnostic steps and escalation rules. Define which details the agent needs about the endpoint, redacted request, error response, API version and most recent change. Give it examples of a useful result and a request that falls outside your offer.
- 02
Test the complete client task
Devon's sandbox shipment webhook began failing after shipment_id was renamed to shipmentId. The redacted request and retry are shown below. Use that kind of request to check the first result, a missing detail and a changed requirement. Credentials belong in a secure connection, never in the conversation. Changes to a customer environment require configured access and authorization. An unverified cause stays a hypothesis.
- 03
Publish and connect the next action
Publish the agent's page and share its URL. Include troubleshooting in your support plan, with engineering help for unresolved defects. 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 troubleshooting agent for API product operators
API product operators
Include troubleshooting in your support plan, with engineering help for unresolved defects. 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 API documentation, error catalog, safe diagnostic steps and escalation rules. 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. If the corrected request still fails, retain the completed checks and build an engineering handoff that includes the remaining question and reproducible example.
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 expertiseAPI diagnostics
Perform the specialist task. Requires a compatible API or MCP connection and the relevant account access.
Zendesk
Read permitted tickets and help center articles. Connect the relevant account and choose which records and actions the agent can use.
Freshdesk
Connect the client's existing service desk. Connect the relevant account and choose which records and actions the agent can use.
Notion
Use your approved product and service guidance. Connect the relevant account and choose which records and actions the agent can use.
HubSpot
Keep the resolution with the customer account. Connect the relevant account and choose which records and actions the agent can use.
Calendly
Arrange a specialist follow-up if needed. Connect the relevant account and choose which records and actions the agent can use.
Integrations
Tools your AI API troubleshooting 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.
- API diagnosticsPerform the specialist taskCustom API
- ZendeskRead permitted tickets and help center articles
- FreshdeskConnect the client's existing service desk
- NotionUse your approved product and service guidance
- HubSpotKeep the resolution with the customer account
- CalendlyArrange a specialist follow-up if needed
Your AI
API troubleshooting agent
API troubleshooting 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. Tools marked Custom API need a separate compatible API or MCP connection.
Browse the integration catalogConnected agents
Connect to your ChatGPT or Claude agents
Your AI API troubleshooting agent stays with the client. Your separately connected ChatGPT or Claude agents can compare a redacted payload with the endpoint schema and return the result to the same client experience.
Compare a redacted payload with the endpoint schema.
Your clients Devon
Devon, the corrected payload passed the schema check.
POST /sandbox/events sent shipmentId = sh_demo_204. The response identified shipment_id as a required field. Your AI
API troubleshooting agent
API troubleshooting agent
Your expertise.
Their personal result.
One connected service.
Your back-office agents
ChatGPT
Claude
- Compare a redacted payload with the endpoint schema
- Run the authorized sandbox retry
- Attach the retry response to an engineering issue
A few things to know
AI API troubleshooting agent FAQ
What is an AI agent for API troubleshooting?
An AI API troubleshooting agent is a customer-facing specialist for API product operators. Clients open its link, describe the endpoint, redacted request, error response, API version and most recent change, and work toward a documented diagnosis and a tested recovery step for an integration error. You provide your API documentation, error catalog, safe diagnostic steps and escalation rules.
What happens when the documentation cannot explain the error?
The agent shows the unresolved point and passes the error, redacted sample and completed checks to the support owner. It does not invent undocumented behavior.
What should I provide before launching?
Provide your API documentation, error catalog, safe diagnostic steps and escalation rules. Test the agent with representative client material and explain what it may do when a required input is missing. Credentials belong in a secure connection, never in the conversation. Changes to a customer environment require configured access and authorization. An unverified cause stays a hypothesis.
How does the result change during a conversation?
If the corrected request still fails, retain the completed checks and build an engineering handoff that includes the remaining question and reproducible example. 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 troubleshooting in your support plan, with engineering help for unresolved defects. 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. Credentials belong in a secure connection, never in the conversation. Changes to a customer environment require configured access and authorization. An unverified cause stays a hypothesis.
What platform does the AI API troubleshooting 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 troubleshooting agent.
Ready to serve your clients.
Create an AI API troubleshooting agent with its own page and URL. Give your clients a documented diagnosis and a tested recovery step for an integration error through text or voice.
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