Integration
Connect Openlayer to Football-Data
When New Project fires in Openlayer, your agent runs Get area in Football-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 Openlayer and Football-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 Openlayer can start in Football-Data
When New Project in Openlayer
then Get area in Football-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 Openlayer and Football-Data
Triggers and actions 2 triggers · 38 actions
- New Project
Triggers when a new project is created in your Openlayer workspace.
- New Test Result
Triggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests.
- Create Data Source
Creates a new data source in a project for streaming production data to Openlayer.
- Create Project
Creates a new AI or ML project in your Openlayer workspace.
- Create Test
Creates a data quality test in a project. Checks for duplicate rows, null values, or row counts.
- Delete Inference Pipeline
Delete an inference pipeline by its ID.
- Delete Project
Delete a project by its ID.
- Delete Test
Delete a test by its ID.
- Evaluate Test
Evaluates a test for a specific time range. Use after publishing records to get immediate results.
- Find Data Source
Finds a data source (inference pipeline) by name in a project.
- Find Project
Finds a project by name in your Openlayer workspace.
- Find Test Result
Finds test results for a data source, including whether each test passed or failed. Filter by outcome or test type to branch an automation on the result.
- Get Inference Pipeline
Retrieve the details around a specific inference pipeline.
- Get Project
Retrieves one project by its id. Openlayer has no single-project endpoint, so this reads the workspace's first 100 projects and returns the one matching the id.
- Get Test
Retrieve a test by ID.
- Get Test Result
Retrieves one test result by its id. Openlayer has no single-result endpoint, so this reads the data source's 100 most recent results and returns the matching one.
- List Inference Pipelines
List the authenticated user's inference pipelines under a project.
- List Projects
Lists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects.
- List Test Results
List all results for a test/goal under an inference pipeline.
- List Tests
Lists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests.
- Publish Record
Publishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer.
- Update Inference Pipeline
Update an inference pipeline.
- Update Project
Update a project.
- Update Test
Update a test (partial updates allowed).
- Get area
Returns one geographic area (country or continent) with its flag, parent area and child areas.
- Get competition
Returns one football competition (league or cup) with its area, current season and full season history.
- Get match
Returns one football match by its ID, including teams, score, status, competition and season.
- Get match head2head
Returns the previous encounters between the two teams of a given match, with aggregate win/draw/loss statistics.
- Get person
Returns a person (player, referee or staff member) with personal details and their current team.
- Get team
Returns a football team's details, including its area, running competitions, coach, squad and staff.
- List areas
Returns the catalogue of football areas (countries and continents), each with its code, flag and parent area.
- List competition matches
Returns the matches of a football competition, optionally narrowed by season, matchday, status, date range, stage or group.
- List competitions
Returns the football competitions (leagues and cups) available to your account, optionally limited to specific areas.
- List competition scorers
Returns the top scorers of a competition's season, with each player's goals, assists and penalties.
- List competition standings
Returns the league table(s) for a competition, optionally as of a given season, matchday or date.
- List competition teams
Returns the teams taking part in a competition for the current or a chosen season.
- List matches
Returns football matches across the competitions your plan covers, optionally filtered by match ids, date or date range, and status.
- List person matches
Returns the matches a player, referee or staff member took part in. Totals such as goals, assists and minutes played are included only on paid Football-Data plans.
- List team matches
Returns the matches of a football team, optionally filtered by date range, season, status or home/away venue.
- List teams
Returns the football teams available on your football-data.org plan, with each team's name, crest, venue and area.
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
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Questions
Openlayer and Football-Data, answered
What can start an automation from Openlayer?
Any of Openlayer's 2 triggers in the catalog, including New Project and New Test Result. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Football-Data when something happens in Openlayer?
Any of Football-Data's 16 actions, including Get area, Get competition, Get match and Get match head2head. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Football-Data to Openlayer?
Football-Data has no triggers in the catalog today, so automations start in Openlayer. If you need the other direction, ask: your agent reads Football-Data's API documentation and adds it.
Do I have to build a connector for Openlayer or Football-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 Openlayer and Football-Data 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.