Integration
Connect Quotient to Umeå Open Data
When Quote Completed fires in Quotient, your agent runs Find records by dataset in Umeå Open Data. 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 Quotient and Umeå Open Data 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 Quotient can start in Umeå Open Data
When Quote Completed in Quotient
then Find records by dataset in Umeå Open Data
When Customer Asked Question in Quotient
then Get record in Umeå Open Data
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 Quotient and Umeå Open Data
Triggers and actions 6 triggers · 4 actions
Trigger
Customer Asked QuestionFires instantly when a customer asks a new question on a Quotient quote. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Customer Asked Question event.
Trigger
Customer Viewed QuoteFires instantly when a customer views a Quotient quote; repeat views within 6 hours fire only once. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Customer Viewed Quote event.
Trigger
Quote AcceptedFires instantly when a customer accepts a quote in Quotient. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Quote Accepted event.
Trigger
Quote CompletedFires instantly when a quote is marked completed in Quotient. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Quote Completed event.
Trigger
Quote DeclinedFires instantly when a quote is declined in Quotient. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Quote Declined event.
Trigger
Quote SentFires instantly when a new quote is first sent from Quotient. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Quote Sent event.
Action
Find records by datasetQuery the records in one dataset, with filtering and sorting.
Action
Get datasetRetrieve metadata and schema information for one dataset by its id.
Action
Get recordRead a single record from a dataset by its record id.
Action
List datasetsList and search the open datasets published in Umeå's catalog.
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
Quotient and Umeå Open Data, answered
What can start an automation from Quotient?
Any of Quotient's 6 triggers in the catalog, including Quote Completed, Customer Asked Question, Customer Viewed Quote and Quote Accepted. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Umeå Open Data when something happens in Quotient?
Any of Umeå Open Data's 4 actions, including Find records by dataset, Get dataset, Get record and List datasets. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Umeå Open Data to Quotient?
Umeå Open Data has no triggers in the catalog today, so automations start in Quotient. If you need the other direction, ask: your agent reads Umeå Open Data's API documentation and adds it.
Do I have to build a connector for Quotient or Umeå Open Data?
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 Quotient and Umeå Open Data without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in Umeå Open Data 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.