Integration
Connect Habitify to EyeLevel.ai
When New Log fires in Habitify, your agent runs Add document in EyeLevel.ai. 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 Habitify and EyeLevel.ai 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 Habitify can start in EyeLevel.ai
When New Log in Habitify
then Add document in EyeLevel.ai
When New Mood in Habitify
then Add remote document in EyeLevel.ai
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 Habitify and EyeLevel.ai
Triggers and actions 4 triggers · 41 actions
Trigger
New LogTriggers when a new log entry is recorded for the selected habit.
Trigger
New MoodTriggered when a new mood is logged on a note for the chosen habit.
Trigger
New NoteTriggers when a new note is added to the selected habit.
Trigger
New StatusTriggers when a habit is marked completed, skipped or failed for a day.
Action
Add areaCreates a new area for organizing and categorizing habits, and returns the created area.
Action
Add LogAdds a log entry with a specific value and unit to a measurable habit, for today or a chosen date.
Action
Add NoteAdds a note to a habit, with any combination of text, a mood level and photos. Returns the note that was created.
Action
Complete habitMarks a habit as completed for a specific date, with Habitify working out the log value from the habit's goal.
Action
Delete habitPermanently deletes a habit along with its logs, notes, goals and reminders. This cannot be undone.
Action
Delete habit logPermanently deletes one log entry from a habit, removing the recorded value from its tracking history.
Action
Fail habitMarks a habit as failed for a specific date, defaulting to today.
Action
Get habitReturns the full details of a habit, including its schedule, goals, reminders, areas and time-of-day periods. An error occurs if the habit is not found.
Action
Get Habit JournalReturns all your habits for a given day, with each habit's completion status, current streak and progress toward its goal.
Action
Get habit statisticsReturns aggregated statistics for a habit over an optional date range, including completion, skip and failure counts, total and average logged values, and a day-by-day progress breakdown.
Action
List areasReturns all of the areas in the Habitify account, the groups used to organize habits such as Health or Work.
Action
List habit logsReturns the log entries recorded for a habit, newest first, optionally limited to a date range.
Action
List habit notesReturns the notes attached to a habit, including each note's text, mood level, photos and creation time.
Action
List habitsReturns the habits in the account, optionally filtered by archived status, area, habit type or time of day.
Action
Skip habitMarks a habit as skipped for a specific date, for days you intentionally decide not to perform it. Returns Habitify's confirmation message.
Action
Add bucketCreate a new bucket to hold documents.
Action
Add bucket to groupAdds an existing bucket to an existing group. Buckets and groups can be associated many to many.
Action
Add documentUploads a file into an EyeLevel (GroundX) bucket for ingestion. Returns the ingest process id and its status; ingestion continues asynchronously.
Action
Add groupCreate a new group (collection of buckets).
Action
Add remote documentIngest a document hosted at a public URL into a GroundX bucket.
Action
Crawl websiteCrawl a website and ingest its pages as documents into a bucket.
Action
Delete bucketDelete a bucket.
Action
Delete documentDeletes a single document from GroundX.
Action
Delete groupDeletes a group in GroundX by its group ID.
Action
Find content by querySemantic search over ingested content chunks within a bucket/group for relevant passages.
Action
Find documents by IDReturns up to 20 documents associated with the specified process, bucket, or group ID.
Action
Find documents by querySearches the given documents for the content most relevant to a query, returning suggested LLM context and the matching chunks.
Action
Get bucketRetrieve a single bucket by ID.
Action
Get customerGet the EyeLevel (GroundX) account information associated with the connected API key, including subscription usage and limits.
Action
Get customer usageGet the total searches or file tokens used by the account over a time period.
Action
Get documentLook up an existing GroundX document by its ID.
Action
Get document extractLook up the information GroundX extract has pulled from an existing document.
Action
Get document processing statusGet the ingestion/processing status of a document by process ID.
Action
Get document X-RayRetrieve the X-Ray (deep semantic parse) result for a document.
Action
Get groupRetrieve a single group by ID.
Action
List bucketsLists the content buckets in your GroundX account.
Action
List groupsList all groups in your GroundX account (up to 100 per call).
Action
Remove bucket from groupRemoves a bucket from a group without affecting the bucket's other group associations.
Action
Update bucketRename an existing content bucket.
Action
Update documentUpdate a document's metadata (e.g. searchData, fileName).
Action
Update groupRename an existing group.
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
Habitify and EyeLevel.ai, answered
What can start an automation from Habitify?
Any of Habitify's 4 triggers in the catalog, including New Log, New Mood, New Note and New Status. Describe the moment in plain language and your agent picks the right one.
What can your agent do in EyeLevel.ai when something happens in Habitify?
Any of EyeLevel.ai's 26 actions, including Update bucket, Update document, Update group and Add bucket. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from EyeLevel.ai to Habitify?
EyeLevel.ai has no triggers in the catalog today, so automations start in Habitify. If you need the other direction, ask: your agent reads EyeLevel.ai's API documentation and adds it.
Do I have to build a connector for Habitify or EyeLevel.ai?
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 Habitify and EyeLevel.ai 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.