A dataset that states what agents may do with it, and a contract that can be checked without seeing inside the implementation.

An open specification and reference implementation for datasets that carry their own behavioural contract. A dataset declares the operations it admits and the conditions under which it admits them, so a caller can decide from the descriptor alone rather than by convention or by asking someone.

The contract is fifteen normative assertions expressed as eighty-five language-neutral vector steps, which is what makes it checkable against an implementation without access to that implementation's internals. The reference architecture passes all fifteen across four runtimes and two dataset boundaries; a second implementation sharing no code with it passes all fifteen as well.

Mutation analysis is the part that keeps the suite honest: seventeen targeted violations, seventeen detected, with every assertion independently exercised. Mean detecting assertions per mutant is reported at 2.2 and deliberately not treated as an optimization metric, because tuning a suite to raise it would measure the suite rather than the contract.

agenticdatasets.orgReference implementationagentic-dataset-conformance on PyPI