University of Manchester · Agentic Access
University of Manchester Agentic Access
x-agentic-access
derived
University of Manchester exposes 4 API operations that an AI agent could call, of which 0 are state-changing ‘acting’ operations. This is a recommended x-agentic-access execution contract — the scope, audience, consequence tier, short-lived token constraints, and escalation each action should carry before it is handed to an autonomous agent.
By consequence: 4 read.
Contracts are classified heuristically from the provider’s OpenAPI and refresh on every APIs.io network build; audience is bound per deployment. The model follows Curity’s Access Intelligence (apidays Munich 2026). Browse every provider’s agent contracts at agentic-access.apis.io.
UniversityHigher EducationEducationResearchUnited KingdomRussell GroupLibraryDigital CollectionsIIIFIdentity FederationResearch DataResearch Computing
Operations: 4
Acting: 0
Human-in-the-loop: 0
Method: derived
By consequence
read 4
write 0
safety-critical 0