Compare two agreed exports
Receive proposed changes, records needing review and reconciled counts. Each proposed change points back to its source. Ambiguous matches stay unresolved for your decision.
Data and workflow services
Make a recurring file task easier to run and check.
We scope small Python utilities for CSV checks, recurring reports and reproducible script problems. Start with the work you need finished and the output your team can review.
Describe your task by emailWritten scoping first. Price and delivery dates are confirmed after we review the task.
Examples of a defined project
These are example scopes, not customer case studies. Your files, rules and platform requirements must be reviewed first.
Repeat an approved transformation
A utility takes the agreed CSV inputs and produces your specified report format, with missing or conflicting records flagged. You receive run instructions and a checked example.
Resolve a reproducible script issue
For a supported codebase and a failing example, the scope can include a patch, regression checks and a written handoff. We confirm feasibility before accepting the work.
What acceptance looks like
- Agreed inputs, fields, limits and expected output.
- Records accounted for and changes traceable to approved rules.
- Invalid or ambiguous records flagged for review.
- A representative example produces the agreed result.
- A defined review round and a process for correcting defects.
Where the scope stops
Initial file work uses read-only copies. Live imports, continuous synchronization, API integrations, dashboards, hosting and ongoing support require separate scoping and approval.
We check whether your existing software already handles the task before recommending custom work. A file that opens successfully has not necessarily been validated for import.
Evidence you can inspect
Our internal work includes a tested CSV/file-manifest validator and a runnable Python example covering HTTP failures and retry behavior. These use synthetic data and local tests. They are not client results or proof of compatibility with your systems.
Read the Python retry exampleRequest a quote
Email rocky@autoapx.com with the task, the output you need and any deadline. We can clarify the process in writing, then agree whether a redacted sample is needed.
Before work starts, the written quote defines the inputs, deliverables, acceptance checks, price, payment terms, dependencies and delivery window. Please leave passwords, access keys and customer details out of the first email.
Start a written conversation