Your agent ran it once.
tablize is why you can trust it tomorrow.

One edge, fully accounted: collect → clean → accept.

tablize ships no AI of its own — your coding agent drives it, with your model key. The account covers that one edge, and it's honest about what it doesn't cover: it won't discover your data contract, backfill collection you never ran, or prove the output got used.

What the gate looks like when it actually bites.

Batches don't all pass, and that's the point. When a golden spot-check misses, the edge halts instead of quietly banking the batch — and a person has to say what they fixed before it moves again. Here is the account a supplier-cleaning run leaves behind.

A passing gate is a drift tripwire, not a proof the batch is accurate — it says the run didn't visibly go off the rails on known sentinels. That distinction is written into the ledger, not just the docs. A full end-to-end script (crawl → clean → accept → morning report) ships with the agent skill.

Your agent. Your model key. tablize's data.

The CLI is the primary, complete path — it's the agent's native tongue: results land on disk instead of in the context window, it composes with everything else in the shell, and --help loads on demand.

Built for scale you can verify.

A columnar engine in Rust — handles millions of rows fast, with a versioned answer on every query so you can replay and verify it. The numbers below are from its own benchmarks.

// representative numbers from the engine's own benchmarks — columnar predicate pushdown vs row-based fallback

Paste one prompt — your agent wires itself.

tablize is in private beta — email dk@tablize.com and we'll get you a CLI build and an API key. From there you don't run the setup by hand: paste one prompt into Claude Code, Codex or Cursor, and the agent installs, logs in and self-checks.

Set up tablize as my data ledger, so the data we produce gets a server-side account: collect raw append-only, LLM-clean in pulled batches, accept only what passes golden checks.

1. Run tablize install — puts the CLI on PATH and lays the tablize skill into your skills directory, so you'll reach for it on your own next time.
2. Run tablize login --url https://api.tablize.com --token <API_KEY> — ask me for the key (app.tablize.com → profile → API keys).
3. Run tablize doctor and confirm all three layers agree: installed == running, skill == CLI, server online.

Then tell me you're ready. House rules: raw tables are append-only; a row in the result table means it was accepted; never work around the gate.

Start free. Self-host when it matters.

Same engine on every tier. You only move up a rung when your workload does.