Jentic Launches API Scoring Tool

The CLI is designed to integrate directly into developer workflows. Teams can run an initial scan to see where their APIs stand.

Marina M Headshot
Jentic Api Scorecard
Jentic

Jentic launched its API Scoring tool: a free CLI and web UI that evaluates whether a company's APIs are ready for use by AI agents.

The CLI is designed to integrate directly into developer workflows. Teams can run an initial scan to see where their APIs stand, then configure the tool to generate a fresh score automatically each time code is updated, giving engineering leaders a clear, trackable record of their API landscape's AI-readiness over time.

"What does 'good' look like for agent experience and developer experience? The industry has conflated validity with usability for too long. Sure, your linter may not shout at you anymore, but a syntactically correct API description guarantees one thing: conformance to the spec's grammar. It says nothing about whether an agent can discover, understand, and execute against that API reliably. That gap is measurable. This tool gives teams that metric, and a path to improving it," says Frank Kilcommins, head of enterprise architecture, Jentic and member, OpenAPI Initiative Business Governance Board.

"We all know that AI is taking off in a big way. Whether it's coding agents or business agents, every organization out there is using AI in some way. We need to make sure our API landscape evolves to match the needs of these new consumers. Scoring is the perfect starting point, and while scoring gets you started with clear goals, Jentic is working on additional tooling to accelerate your path towards an AI-ready API landscape," says Erik Wilde, head of enterprise strategy, Jentic and OpenAPI Initiative Ambassador.

"In the AI era, the API is king, and APIs must be built for agents, not just for developers. This tool gives every engineering team a free compass to help them navigate through that transition," adds Sean Blanchfield, CEO, Jentic.

Key takeaways:

 

·        The scoring framework was developed with input from senior figures in the API standards community.

·        Until now, there has been no standardized way for engineering teams to measure the gap or track progress in closing it. The Jentic API Scoring tool is built to fill that role.

·        The six scoring dimensions assess whether an API's descriptions are technically correct, clear enough for an agent to interpret, whether its behavior is consistent and predictable, whether appropriate security controls are in place, and whether an AI system can discover and execute against it without human intervention.

More in AI/AR
Page 1 of 171
Next Page