Integration
Connect LiveAgent to Mood Metrics API
When New conversation fires in LiveAgent, your agent runs Analyze Sentiment in Mood Metrics API. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want LiveAgent and Mood Metrics API to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What LiveAgent can start in Mood Metrics API
When New conversation in LiveAgent
then Analyze Sentiment in Mood Metrics API
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with LiveAgent and Mood Metrics API
Triggers and actions 3 triggers · 11 actions
- New conversation
Triggers when a new conversation (ticket, chat, call or message) is created in LiveAgent.
- New Customer
Triggers when a new customer (contact) is added in LiveAgent.
- New Customer (Experimental)
Triggers when a new customer (contact) is added in LiveAgent.
- Add customer group
Creates a new customer group in LiveAgent with a name and optional text and background colors.
- Add tag
Creates a new tag in LiveAgent that can be assigned to conversations.
- Get conversation
Returns a LiveAgent conversation (ticket) by its ID, code or public URL code, including status, owner, tags and custom field values.
- List conversation messages
Returns all message groups and their messages for a LiveAgent conversation, optionally limited to a date range.
- List conversations
Returns conversations (tickets, chats, calls) in LiveAgent, optionally filtered by owner, department, agent, status, channel, subject and dates.
- List customer groups
Returns every customer group defined in the LiveAgent account, with each group's id and name.
- List tags
Returns every tag defined in the LiveAgent account, with each tag's id and name.
- Analyze Sentiment
Analyzes the emotional content of the submitted text, returning an overall sentiment score, per-primary-emotion score, and a rationale.
- Get job status
Returns the current processing status of an asynchronous sentiment analysis job (PENDING, PROCESSING, SUCCEEDED, FAILED, CANCELED), and the result ID once it has succeeded.
- Get platform feed
Retrieves a platform-scoped feed by its ID, including its name, description, current number of analyses and maximum size.
- List platform feeds
Returns all platform feeds, with each feed's id, name, description and maximum size.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
LiveAgent and Mood Metrics API, answered
What can start an automation from LiveAgent?
Any of LiveAgent's 3 triggers in the catalog, including New conversation, New Customer and New Customer (Experimental). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Mood Metrics API when something happens in LiveAgent?
Any of Mood Metrics API's 4 actions, including Analyze Sentiment, Get job status, Get platform feed and List platform feeds. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Mood Metrics API to LiveAgent?
Mood Metrics API has no triggers in the catalog today, so automations start in LiveAgent. If you need the other direction, ask: your agent reads Mood Metrics API's API documentation and adds it.
Do I have to build a connector for LiveAgent or Mood Metrics API?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use LiveAgent and Mood Metrics API without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.