Google paper introduces SynthCorp benchmarks for data agents
The key shift is moving evaluation from fixed, easily saturated datasets to generated environments with ground truth derived from simulation logs, which makes skill-targeted benchmarking reproducible at scale. Teams building enterprise data agents or text-to-SQL systems can use the seven estates and 256 tasks to identify exactly where multi-event chaining breaks their pipelines. The finding that state-of-the-art agents still fail on chained tasks gives labs a concrete target for the next round of agentic improvements.
