APIFlow-Bench: The Enterprise Survival Test for AI Agents

APIFlow-Bench is a benchmark designed to evaluate the reliability and readiness of AI agents in executing long-horizon, enterprise-style API workflows, focusing on whether they can complete real-world tasks rather than merely produce plausible answers. This benchmark addresses the challenge of "long-chain failure," where a single error in a workflow can cascade into larger issues, by measuring seven distinct competencies such as authentication, error recovery, and state verification. Unlike traditional AI benchmarks that often overlook operational reliability, APIFlow-Bench emphasizes end-to-end workflow completion, ensuring that agents can maintain context, manage dependencies, and recover from errors across multiple steps. The benchmark uses a deterministic grading system supplemented by a parallel LLM verifier to ensure that successful task completion reflects genuine operational capability rather than coincidental correctness. APIFlow-Bench aims to set a new standard for evaluating AI agent readiness in enterprise environments, with a focus on improving agentic reliability and the ability to handle complex, real-world API workflows.

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