Vadim Bezrukov

I build automa-flow: practical APIs and automation tools for web data, batch processing and data pipelines. They fit a developer workflow, a schedule, n8n, Make or an agent.

Try a sample input and inspect the output before you scale. Each Actor explains its limits and what it charges.

• Recheck search interest: Google Trends  returns keyword interest and rising searches. Run the same input again next week. A short API starter  shows one bounded call.
• Download a list of files: Bulk Downloader  fetches many URLs in parallel and writes a manifest.
• Prepare a dataset: Dataset Cleaner  filters, renames and casts rows before the next step.
• Call an API in bulk: HTTP Batch  sends separate requests. REST Fetcher  follows pagination.
• Send a model call: OpenRouter for Agents  sends chat messages, tool definitions and fallbacks, and returns structured output. It does not run the tools itself.

For a narrower job, Shopify  checks product prices and availability. Other published Actors cover selected public registries. Pick the Actor that matches that source.

Open an Issue on the Actor page with the run ID, what you expected and a sanitized example. Leave out tokens and private data.