Automate Processing with the API

What is the RowSherpa API?

The RowSherpa API lets you programmatically submit CSV or tabular data to RowSherpa, apply the same LLM-powered classification, enrichment, or extraction logic you use in the UI, and retrieve structured results at scale.

It is designed for teams who want to integrate RowSherpa into automated workflows such as lead qualification, data enrichment pipelines, research processes, or internal tools.

Instead of manually uploading files, you can trigger jobs from your own applications, scripts, or backend services.

The API follows a simple, REST-based design and returns structured JSON outputs suitable for downstream processing.

All endpoints are documented in detail in the API reference.


Typical use cases

You may want to use the RowSherpa API if you need to:

  • Process large or recurring datasets without manual uploads
  • Integrate RowSherpa classifications into a CRM, data warehouse, or internal tool
  • Run scheduled or event-driven enrichment jobs
  • Build your own UI or automation layer on top of RowSherpa

The API provides the same core capabilities as the web app, optimized for automation and scale.


Getting your API key

To use the API, you first need to generate an API key:

  1. Log in to your RowSherpa account.
  2. Go to Settings in the application.
  3. Navigate to the API section.
  4. Generate a new API key and copy it securely.

Your API key is a secret credential and should be stored securely (for example, as an environment variable).


Making your first request

All API requests are authenticated using your API key, passed as a bearer token in the Authorization  header.

Once authenticated, you can submit data, trigger processing jobs, and retrieve results using the endpoints described in the official API documentation.

Responses are returned in JSON and are designed to be consumed directly by code.

You do not need any special SDK to get started—standard HTTP clients are sufficient.


đŸ‘‰ Full endpoint details, schemas, and examples are available in the RowSherpa API documentation.


Best practices

  • Start with small datasets to validate your prompts and outputs.
  • Reuse prompt configurations between the UI and the API for consistent results.
  • Monitor token usage and job status when running large batches.
  • Rotate your API keys periodically for security.

If you have questions or need help with a specific integration, contact RowSherpa support through the support portal.