Machine-readable procurement
Agentic Procurement
Procurement infrastructure for humans and AI agents. NetROQ publishes industrial RFQs as structured, machine-readable opportunities — designed to be read by people, search engines and, increasingly, AI systems.
Available today
Machine-readable access that already works, with no integration required:
Public RFQ pages
Every published RFQ has one canonical, server-rendered, indexable URL.
Structured sourcing data
Part number, description, quantity, unit, manufacturer and deadline per line item.
Atom feed
Newly published public RFQs at /feed/rfq.xml, with conditional-request support.
Sitemap
Every indexable RFQ and market page at /sitemap.xml.
llms.txt and llms-full.txt
A published description of what is public and what is not.
Public data contract
Buyer identities, private offers and negotiation content are never public.
Machine-readable resources
Designed for what's next
NetROQ is designed to support deeper AI-driven procurement workflows in the future. The following capabilities are not currently available:
Agent-ready RFQ search and retrieval
Structured querying of sourcing opportunities beyond public page and feed access.
Secure authenticated access for AI assistants
Permissioned, auditable access tied to a real account rather than anonymous reading.
Buyer and supplier workflow integrations
Connecting sourcing tools to the RFQ and quotation lifecycle, with people approving every commercial decision.
Structured, permissioned interfaces for procurement automation
Interfaces built around permissions, auditability and human approval first.
These are design directions, not released features, and no availability date is implied.
What agentic procurement means
AI procurement agents and sourcing assistants can only act on data they can actually read. Most industrial demand still lives in email threads, PDFs and portals no machine can parse.
NetROQ turns each request for quotation into a structured record with a stable public address, so AI systems can discover and interpret public sourcing opportunities and their structured line-item data.
Buyers and suppliers keep control of every commercial decision. Publishing, quoting, negotiating and awarding remain human actions inside NetROQ.
Interested in Agentic Procurement?
Are you building an AI procurement agent, sourcing assistant or procurement integration? Talk to us about your use case. Agent access is being prepared and is not available yet. We would like to hear how you would use it.