Integration
Connect Habitify to Rosette Text Analytics
When New Log fires in Habitify, your agent runs Extract events in Rosette Text Analytics. 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 Rosette Text Analytics 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 Rosette Text Analytics
When New Log in Habitify
then Extract events in Rosette Text Analytics
When New Mood in Habitify
then Analyze morphology in Rosette Text Analytics
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 Rosette Text Analytics
Triggers and actions 4 triggers · 29 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
Analyze morphologyReturns morphological analysis of text, such as lemmas, part-of-speech tags, compound components and Han readings.
Action
Analyze sentimentAnalyzes the positive, negative or neutral sentiment of a text, returning the overall document sentiment and the sentiment toward each entity mentioned.
Action
Categorize textIdentifies the contextual categories (QAG Tier 1 taxonomy) of a piece of text or a web page, with a confidence for each.
Action
Deduplicate namesGroups a list of names into clusters of likely duplicates, returning one cluster ID per name in the order supplied.
Action
Extract entitiesExtracts the named entities (people, organizations, places and more) from text or a web page, optionally linking them to a knowledge base.
Action
Extract eventsExtracts events (such as travel or meetings) from a piece of text, returning each event's type, participants and roles, and whether it was negated.
Action
Extract relationshipsFinds the relationships between people, organizations and other entities in a piece of text, returning each subject, predicate, object and a confidence score.
Action
Extract topicsReturns the key phrases and concepts found in a piece of text or a web page, each with a salience score.
Action
Identify languageIdentifies the language(s) of a piece of text or web page, returning candidate languages ranked by confidence.
Action
Match addressesCompares two addresses and returns a similarity score indicating how likely they refer to the same place.
Action
Match namesCompares two names, in any supported language or script, and returns a similarity score showing how likely they refer to the same person, place or organization.
Action
Tokenize textSplits text into a list of tokens (words and punctuation).
Action
Translate nameTranslates a person, place or organization name into another language and script.
Action
Transliterate textTransliterates Arabic text between Arabizi (Romanized Arabic) and native Arabic script.
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
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Questions
Habitify and Rosette Text Analytics, 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 Rosette Text Analytics when something happens in Habitify?
Any of Rosette Text Analytics's 14 actions, including Analyze morphology, Analyze sentiment, Categorize text and Deduplicate names. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Rosette Text Analytics to Habitify?
Rosette Text Analytics has no triggers in the catalog today, so automations start in Habitify. If you need the other direction, ask: your agent reads Rosette Text Analytics's API documentation and adds it.
Do I have to build a connector for Habitify or Rosette Text Analytics?
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 Rosette Text Analytics 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.