Grammarly
by Superhuman
Grammarly's enterprise APIs report user analytics such as suggestions accepted and days active, writing scores, license assignments and users across the organization. Kept in a Lake with HR, support and sales data, those numbers show whether paid seats are used and whether writing support reaches the teams whose words customers actually read.
- Category
- Productivity & Collaboration
- Type
- Writing assistant
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
02Data
What you can sync.
- User analytics
- Licenses
- Users
- Writing scores
Track Grammarly user analytics next to the business results they serve, in DataPrism BI and AI Minds.
Need more? Name any other Grammarly data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
Grammarly uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Superhuman if you need help.
04Questions
Questions you can answer.
Once Grammarly data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How many licensed users were inactive for the last 30 days?
- Which teams accept the most suggestions per active user?
- Do support agents with higher Grammarly usage get better satisfaction ratings?
- How many licenses were assigned but never activated?
05How it works
How it works in DataMind.
-
Pick Grammarly.
Open Lake, pick Grammarly in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Grammarly API docs.
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Answer a few questions.
The AI reads the Grammarly documentation, then asks which credentials you will use, which data to sync (for example user analytics and licenses), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Grammarly data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Grammarly.
Sources teams join with Grammarly in the Warehouse, each one connected the same way.
