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Show HN: CommerceTXT – An open standard for AI shopping context (like llms.txt)

Hi HN, author here.

I built CommerceTXT because I got tired of the fragility of extracting pricing and inventory data from HTML. AI agents currently waste ~8k tokens just to parse a product page, only to hallucinate the price or miss the fact that it's "Out of Stock".

CommerceTXT is a strict, read-only text protocol (CC0 Public Domain) designed to give agents deterministic ground truth. Think of it as `robots.txt` + `llms.txt` but structured specifically for transactions.

Key technical decisions v1.0:

1. *Fractal Architecture:* Root -> Category -> Product files. Agents only fetch what they need (saves bandwidth/tokens).

2. *Strictly Read-Only:* v1.0 intentionally excludes transactions/actions to avoid security nightmares. It's purely context.

3. *Token Efficiency:* A typical product definition is ~380 tokens vs ~8,500 for the HTML equivalent.

4. *Anti-Hallucination:* Includes directives like @INVENTORY with timestamps and @REVIEWS with verification sources.

The spec is live and open. I'd love your feedback on the directive structure and especially on the "Trust & Verification" concepts we're exploring.

Spec: https://github.com/commercetxt/commercetxt Website: https://commercetxt.org

https://r.kraken.com/GjKZG6
https://laxaf.com/i-21x