The 2025 AI Agent Index at FAccT '26 + Benchmark Test-Time Scaling = H2 2026 agent-evaluation research infrastructure substantively matures

The 2025 AI Agent Index introduces comprehensive multi-dimension evaluation (capability + safety + security incident history). Benchmark Test-Time Scaling evaluates capability-vs-test-time-compute trade-offs. Two H2 2026 research papers substantively mature agent-evaluation research infrastructure beyond single-dimension capability benchmarks.

The 2025 AI Agent Index at FAccT '26 + Benchmark Test-Time Scaling methodology together establish H2 2026 agent-evaluation infrastructure maturity.

The multi-dimension evaluation maturation

Pre-Index agent evaluation methodology focused on capability dimensions; security-incident tracking was distributed across vendor-specific disclosures. The Index integrates security-incident history into systematic evaluation. Combined with test-time-scaling methodology, the H2 2026 agent-evaluation infrastructure provides procurement-evaluation framework that single-dimension benchmarks didn't support.

The H2 2026 evaluation infrastructure compound

The 2025 AI Agent Index + Benchmark Test-Time Scaling + Holistic Agent Leaderboard + SciAgentArena + MiroEval together represent substantively comprehensive agent-evaluation research infrastructure.

The procurement implication

Enterprise agent procurement should now reference systematic multi-dimension evaluation infrastructure rather than aggregate-benchmark-score alone. The H2 2026 to 2027 procurement-evaluation methodology should match evaluation-tool selection to deployment workload shape.

arXiv — The 2025 AI Agent Index (2602.17753) → · VoltAgent — Awesome AI Agent Papers 2026 →