Raindrop's new agent debugger is 1,600x cheaper than GPT-5.6
Raindrop just launched Signals 2.0 powered by rd-signal-2, a system that builds binary classifiers to spot agent failures across complex production traces. It matches GPT-5.6 Sol accuracy at 1/1,600th of the cost with a median latency of 100 ms. Why it matters: it turns full-trace frontier model evaluations into cheap deterministic code and micro-models, making large-scale agent monitoring practical.