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, Artificial Intelligence, Agents, Observability, and Monitoring.

Raindrop’s developer surface includes documentation, API reference, getting-started guide, authentication, CLI, engineering blog, support, and 22 more developer resources.

🌐 Visit website 📡 Source on GitHub

39.6/100 developing ▬ flat Agent 27/100 agent aware Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

2 APIs 1 MCP Servers

Company Artificial Intelligence Agents Observability Monitoring LLMOps Developer Tools Tracing

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 39.6/100 · developing

Contract Quality 0.0 / 21

Developer Ergonomics 13.4 / 17

Access Clarity 8.5 / 17

Operational Transparency 1.2 / 11

Contract Governance 1.9 / 10

Discoverability 6.1 / 9

Regulatory Posture 5.5 / 15

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/raindrop: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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 Server

Official hosted Raindrop MCP server — nothing to install. Query your Raindrop data directly from an AI coding assistant. Fronts the Raindrop Triage agent, which investigates tra...

MCP SERVER

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Raindrop Authentication

3 schemes

SECURITY

Raindrop Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Raindrop Trust Center

SOC 2 Type II

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Raindrop Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

AgentSkill

LLMsTxt

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

Webhooks

Build 3

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

CLI

CLI

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

Authentication

OAuthScopes

Compliance

TrustCenter

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: raindrop
name: Raindrop
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/raindrop/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
specificationVersion: '0.23'
x-backed-by:
- lightspeed-venture-partners
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - security
  generated: '2026-09-03'
  method: derived
image: https://www.raindrop.ai/social.png
tags:
- Company
- Artificial Intelligence
- Agents
- Observability
- Monitoring
- LLMOps
- Developer Tools
- Tracing
tags_raw:
- Company
- AI
- Agents
- Observability
- Monitoring
- LLMOps
- Developer Tools
- Tracing
created: '2026-07-17'
modified: '2026-07-20'
apis:
- name: Raindrop Ingest API
  description: 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 204. Project targeting via X-Raindrop-Project-Id.
  humanURL: https://www.raindrop.ai/docs/sdk/http-api
  baseURL: https://api.raindrop.ai/v1
  properties:
  - type: Documentation
    url: https://www.raindrop.ai/docs/sdk/http-api
  - type: Authentication
    url: authentication/raindrop-authentication.yml
  - type: ErrorCatalog
    url: errors/raindrop-problem-types.yml
- name: Raindrop Query API
  description: 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 limited (200 RPM, search 50 RPM, 20 RPS). Project scoping
    via X-Raindrop-Project-Id.
  humanURL: https://www.raindrop.ai/docs/query-api/api-reference
  baseURL: https://query.raindrop.ai/v1
  properties:
  - type: APIReference
    url: https://www.raindrop.ai/docs/query-api/api-reference
  - type: SDK
    url: https://www.raindrop.ai/docs/query-api/sdk
  - type: RateLimits
    url: conventions/raindrop-conventions.yml
common:
- type: Website
  url: https://www.raindrop.ai/
- type: DeveloperPortal
  url: https://www.raindrop.ai/docs/introduction
- type: Documentation
  url: https://www.raindrop.ai/docs/introduction
- type: APIReference
  url: https://www.raindrop.ai/docs/query-api/api-reference
- type: GettingStarted
  url: https://www.raindrop.ai/docs/introduction
- type: Authentication
  url: authentication/raindrop-authentication.yml
- type: SDKs
  url: packages/raindrop-packages.yml
- type: CLI
  url: cli/raindrop-cli.yml
- type: MCPServer
  url: mcp/raindrop-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/raindrop-llms.txt
- type: WellKnown
  url: well-known/raindrop-well-known.yml
- type: OAuthScopes
  url: scopes/raindrop-scopes.yml
- type: Conventions
  url: conventions/raindrop-conventions.yml
- type: ErrorCatalog
  url: errors/raindrop-problem-types.yml
- type: Lifecycle
  url: lifecycle/raindrop-lifecycle.yml
- type: Conformance
  url: conformance/raindrop-conformance.yml
- type: Compliance
  url: security/raindrop-trust-center.yml
- type: TrustCenter
  url: security/raindrop-trust-center.yml
- type: DomainSecurity
  url: security/raindrop-domain-security.yml
- type: Webhooks
  url: https://www.raindrop.ai/docs/platform/alerts
- type: Blog
  url: https://www.raindrop.ai/blog
- type: Support
  url: https://www.raindrop.ai/docs/support
- type: GitHubOrganization
  url: https://github.com/raindrop-ai
- type: Pricing
  url: https://www.raindrop.ai/pricing
- type: SignUp
  url: https://auth.raindrop.ai/en/signup
- type: Login
  url: https://app.raindrop.ai
- type: TermsOfService
  url: https://www.raindrop.ai/docs/security/terms-of-use
- type: PrivacyPolicy
  url: https://www.raindrop.ai/docs/security/privacy-policy
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 17
  pass: local-v1

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