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.
⚡ Infrastructure💵 Paid — Starter and Pro subscription tiers with a 14-day trial and custom Enterprise; no free plan.📅 Listed 10 Jun 2026
✨ 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.
⚖️ Pros & Cons
Pros
✓ 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
Cons
✗ No free plan; paid-only with a 14-day trial
✗ Advanced features (semantic search, on-prem, SSO) gated behind Pro/Enterprise