Skip to content
NewA calmer, faster ZeroHour

terms.txt: A Consent and Compensation Protocol for Agentic Web Access

arXiv cs.CRby Rajarshi Chowdhury ()1 min read3 · 2 reads
AI summary · glm-5.3-flashSummaries by Vani AI

terms.txt specifies a robots.txt-style protocol for per-path, per-purpose AI crawler consent and compensation, with enforcement adding 0.20-0.65 ms per request.

The paper documents that automated clients now make up most web requests, that training dominates Cloudflare-classified crawling, and that the largest AI platforms fetch thousands of pages per returned visitor while robots.txt cannot express identity, purpose, terms, or price. It specifies terms.txt plus an origin-enforced exchange using Web Bot Auth signatures, signed intent, delegation tokens, HTTP 402 negotiation, and signed receipts. A dependency-free implementation adds 0.20 to 0.65 ms per request on one vCPU.

Key facts
  • robots.txt cannot express identity, purpose, terms, or price
  • AI platforms fetch thousands of pages per returned visitor
  • Exchange uses Web Bot Auth signatures and HTTP 402 negotiation
  • Reference implementation overhead: 0.20-0.65 ms per request on one vCPU
Analyze this story with Vani AIImpact, who is affected and what defenders should do, in a new chat

From the original article

1 min read at arxiv.org

The open web ran on an unwritten bargain: sites admitted crawlers, and search engines sent visitors back. Public measurements show that bargain breaking under AI crawlers and agents. Automated clients now make up most requests, training dominates Cloudflare-classified crawling, and the largest AI platforms fetch thousands of pages for each visitor they return.

arXiv cs.CR

By Rajarshi Chowdhury · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.