Fix API Gaps Blocking AI Agents with Jentic Scorecard

Enterprise APIs fail AI integration due to missing server defs, auth details, invalid OpenAPI specs, and poor examples—Jentic's free scorecard scores them 0-100 across 6 factors and delivers fix roadmaps, cutting months from deployments.

API Deficiencies Stalling Enterprise AI Agents

Analysis of over 1,500 public APIs reveals consistent gaps preventing reliable AI agent integration: many lack server hosting details, forcing manual discovery; authentication info is often absent from specs and hidden in separate docs; a large share features invalid OpenAPI documents with broken references or malformed schemas; required path parameters go unspecified; and examples are missing, sparse, or inconsistent with schemas. These human-oriented API designs cause AI pilots to succeed in tests but fail in production, wasting months and budgets on integration retries. Quote from CEO Sean Blanchfield: weak foundations yield unpredictable agents, trapping teams in 'pilot purgatory.'

Scorecard Delivers Instant Diagnostics and Roadmaps

Submit any API to jentic.com/scorecard for a free, automated 0-100 readiness score evaluating six factors—API structure, security, documentation quality, and three others—plus a detailed report pinpointing gaps and a prioritized roadmap with fix steps. Results arrive in minutes, enabling technical teams to act immediately while executives grasp investment blockers. This upfront assessment avoids trial-and-error, slashing deployment timelines by months without infrastructure overhauls.

Real-World Results and Expert-Built Platform

A European railway operator boosted its score 19 points post-assessment, unlocking reliable agent rollouts. Jentic's full platform enhances APIs at the integration layer, preserving legacy investments via unified auth, permissions, and observability. Backed by $4.5M pre-seed and AWS Generative AI Accelerator selection, the 2024-founded team includes OpenAPI Initiative Ambassador Erik Wilde, Arazzo spec author Frank Kilcommins, and Swagger developers, ensuring standards-based fixes for agentic AI.

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