Ops template

Data Analysis Agent

Parse a CSV into rows, then return the strongest trend, anomaly, method, and chart spec.

A real four-step data workflow: Input carries a deterministic CSV sample, Parse Spreadsheet turns bytes into typed row objects, the analyst computes a supported trend and anomaly, and Output exposes the result. Replace the sample base64 with your own CSV; no warehouse or paid connector is required.

The flow this template ships
InputParse SpreadsheetLLM (Claude)Output
$0.10 / call4 steps wiredOpsCore

Who pays: Ops, finance, and RevOps teams (or their reporting agents): a fast interpretive read on a data pull without wiring up a live warehouse connection, on every ad-hoc question.

How it runs
Runs on demand

Each paid call triggers the flow once: the caller sends a payload, the 4-step flow runs, and the result comes back in the same request. Preview runs are always free and have no side effects.

$0.10 per file, suggested

The template opens in the studio with this price already loaded. You set the final price before launch, and every live call is paid in USDC through the x402 payment rail.

Built on core nodes

The wired flow uses built-in nodes only. Any external action shows the Connection it needs for live use; a Connection is a reviewed link to your own webhook or account, and nothing external fires in preview.

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Start building

Open Data Analysis Agent in the studio

The 4-step flow arrives wired, priced, and ready to preview free. Make it yours, then launch when you're ready.

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