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Agent-native B2B terms

One shared set of B2B terms, as data.

onTerms is a single market-practice set of standardized B2B terms. You incorporate them by reference with one line in an order, and verify the exact text by hash. Free to read and verify.

PDF

A PDF you screenshot

order.json
{
  "instrument": "onTerms-Order",
  "incorporates": "core@1.0/ew",
  "terms_hash": "sha256:3f9a…c721",
  "elections": { "term": 12 }
}
order_hash matches · signedVerified

A signed object anyone can verify

What it is.

onTerms treats terms as data, not paper. One standardized set, composable into modules, with England and Wales as the default jurisdiction. A single reference in an order brings in the version you mean, and a hash proves it.

It is built for AI agents as much as people: an MCP integration lets agents fetch, validate and execute the terms without a human re-reading the same boilerplate each time.

What it does

Terms you can reference, verify and automate.

Incorporate in one line

Reference the terms with a single line in an order. No bundle of PDFs to attach or maintain.

Verify by hash

Every version is verified by SHA-256, so both sides can prove which text they agreed to.

Composable modules

Modules span NDA, evaluation, orders and disputes, so you take only the parts you need.

Built for agents

An MCP integration lets AI agents fetch, validate and execute the terms directly.

Read and verify onTerms.

The terms are free to read and verify on the product site.