Free
Use a daily allowance to try Octarca's core data preparation workflow.
- 50 credits/day
- Basic model access
- Solo workspace only
- Daily reset, no rollover
Octarca helps everyone process, review, and deliver data with ease.
Clean table created with source snapshot preserved.
The system prepares the work. The user approves the result.
One clear path: import the file, prepare the result package, then review and export with the working context intact.
Start from CSV, Excel, or project files already on your machine. Octarca treats the raw file as the work object, not as a demo prompt.
Octarca keeps source files, system findings, processing steps, and results to review in the same working context. AI prepares the work. You decide what moves forward.
The file is not dropped into a chat box. It becomes a work object you can track, revisit, and keep tied to its result.
Octarca gives you more than a result. It brings the problems, steps, and places that need confirmation along with it.
AI can prepare the result, but whether it is accepted, exported, and used for analysis remains your call.
Clean table created with source snapshot preserved.
Octarca is built around local-first workspaces, visible review state, and results that stay connected to where they came from.
Working files stay organized in a desktop-shaped workspace before results move downstream.
AI can prepare tables and result packages, but the user confirms the work before export.
Source files, findings, result packages, and review state stay connected whenever possible.
Octarca is shaped for the unglamorous part of analysis work: making source files coherent enough that downstream methods are worth trusting.
Prepare panel, survey, and publication datasets before moving into Stata, R, or Python.
Free users get a daily credit bucket. Plus and Pro can be billed monthly or yearly, with credits reset monthly.
Use a daily allowance to try Octarca's core data preparation workflow.
For everyday data cleaning, table cleanup, and recurring analysis preparation.
For more frequent AI analysis, larger data preparation tasks, and recurring workflows.
For organizations that need team members, billing discussion, invoices, or custom deployment planning.