Raindrop

Raindrop is an AI-native observability platform built specifically for AI agents, processing billions of traces monthly for large enterprises. It traces every agent run, automatically detects real failures like hallucinations, loops, and broken tools, and surfaces them in Slack. Teams can triage, validate fixes with experiments, and ship with confidence.

Raindrop offers 4 main features. Trace Inspection: Captures all production agent runs including messages, tool calls, retries, and errors in one place. Automatic Issue Detection: Reads traces and routes real failures, hallucinations, and loops straight to Slack. Signals: Custom classifiers let you define and continuously monitor the behaviors that matter to your deployment. Experiments: Feature-flag testing validates that fixes actually improve performance before a full rollout.

Raindrop uses a Paid — Starter and Pro subscription tiers with a 14-day trial and custom Enterprise; no free plan. pricing model. Available plans include Starter at $65/mo, Pro at $350/mo, Enterprise at Custom.

Key advantages include: Purpose-built for AI agents rather than retrofitted traditional APM; Automatic failure detection with native Slack triage workflow; Proven at scale processing billions of traces. Potential drawbacks: No free plan; paid-only with a 14-day trial; Advanced features (semantic search, on-prem, SSO) gated behind Pro/Enterprise.

Raindrop is categorized under Infrastructure, Analytics on AI Product List. It is designed for professionals and teams looking for infrastructure solutions.

You can visit the official Raindrop website at www.raindrop.ai to sign up, explore features, or start a free trial.