SignalPilot is #1 on both public data-agent benchmarksSee the results →

SignalPilot for Analytics Engineers

Build, verify, and audit every change.

Add senior data-engineering discipline to Claude Code or Codex: explore the project, measure grain, build the change, verify the output, and attach the receipt.

How Your Team Uses It

Keep your workflow. Add production discipline.

01

Build with project context

Explore schemas, dbt models, lineage, and live warehouse values before writing SQL.

02

Catch fan-out and drift

Measure join grain before the build, compare output after it, and catch renamed columns or changed table grain on the next run.

03

Review the evidence

Put verification receipts in the same GitHub workflow where your team reviews the code.

The Blocks

Start with the block you’re missing.

Explore → Build → VerifyVerification receiptsGitHub workflowContinuous evals
Works with your stack
dbt Coredbt CloudSnowflakeDatabricksPostgresGitHub

Get Started

Keep your agent. Add the blocks.