Raindrop
Raindrop is the monitoring and observability platform for AI agents — a "Sentry for AI agents" that discovers silent agent failures in production. AI engineering teams use Raindrop to detect when agents fail, loop, hallucinate, or misbehave; run semantic and keyword Deep Search across millions of agent events; define custom behaviors to track in natural language; get Slack, email, and webhook alerts; inspect step-by-step traces to root-cause issues; and A/B test prompts, models, tool calls, and feature flags with Experiments. Raindrop ships first-party SDKs (TypeScript, Python, Go, Rust beta, Java beta, browser), an ingest HTTP API, a read-only Query API, a hosted MCP server, open-source Agent Skills, and the open-source Workshop local agent debugger. Founded in 2023 and headquartered in San Francisco, Raindrop raised a $15M seed led by Lightspeed Venture Partners in December 2025.
Raindrop publishes 2 APIs on the APIs.io network. Tagged areas include Company, AI, Agents, Observability, and Monitoring.
Raindrop’s developer surface includes documentation, API reference, getting-started guide, authentication, CLI, engineering blog, support, and 21 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
Raindrop Ingest API
Server-to-server ingest/tracking API for sending AI interactions, events, feedback signals, and user identity into Raindrop. Bearer write-key auth; authorized requests return 20...
Raindrop Query API
Read-only Query API for retrieving events, traces, signals, users, and conversations from Raindrop, including search, count, timeseries, and facets. Bearer query-key auth; rate ...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
raindrop-mcp.yml
MCP SERVERSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API