Paylocity
Paylocity pay statements break each paycheck into earnings and deductions, while punch details from its time module show when employees clocked in and out. Mid-sized employers use it to run HR, payroll and benefits together. Moving those records into your Lake makes it possible to tie labor cost to the ledger, compare punches with schedules and follow deductions such as benefit contributions over time.
- Category
- HR & People
- Type
- Payroll
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
02Data
What you can sync.
- Employees
- Pay statements
- Earnings
- Deductions
- Punch details
Bring Paylocity employees into the Warehouse with column and row rules in the database, so people data stays with the people allowed to see it.
Need more? Name any other Paylocity 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)
Paylocity 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 Paylocity if you need help.
04Questions
Questions you can answer.
Once Paylocity data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How much did each cost center spend on overtime earnings this quarter?
- Which employees punch in early or out late often enough to add unplanned hours?
- How have employee benefit deductions changed since open enrollment?
- What is gross pay per hour worked, by department and job?
05How it works
How it works in DataMind.
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Pick Paylocity.
Open Lake, pick Paylocity in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Paylocity API docs.
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Answer a few questions.
The AI reads the Paylocity documentation, then asks which credentials you will use, which data to sync (for example employees and pay statements), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Paylocity data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Paylocity.
Sources teams join with Paylocity in the Warehouse, each one connected the same way.
