LunarCrush

LunarCrush is a real-time social intelligence platform for crypto, stocks, and trending topics. It aggregates billions of public posts from X (Twitter), Reddit, YouTube, TikTok, Instagram, and News across 4,000+ assets, runs them through topic classification, spam/bot filtering, sentiment scoring, and creator weighting, and turns them into proprietary metrics such as Galaxy Score, AltRank, TopicRank, CreatorRank, Social Dominance, and Sentiment. LunarCrush exposes this data through two developer surfaces: the LunarCrush API v4 (a REST API at lunarcrush.com/api4 for topics, categories, creators, posts, coins, stocks, and NFTs) and lunarcrush.ai (an AI/agent-native interface returning markdown/JSON/CSV, with a hosted Model Context Protocol server and a first-party CLI). Both use Bearer-token API-key authentication.

LunarCrush publishes 2 APIs on the APIs.io network. Tagged areas include Company, Social Intelligence, Cryptocurrency, Stocks, and Sentiment Analysis.

LunarCrush’s developer surface includes documentation, API reference, authentication, CLI, pricing, signup flow, engineering blog, and 15 more developer resources.

🌐 Visit website 📡 Source on GitHub

29.2/100 thin ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

AccessSelf serve

2 APIs 1 MCP Servers

Company Social Intelligence Cryptocurrency Stocks Sentiment Analysis Social-Media Market Data Analytics AI Agents MCP

Kin Score

Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0

Composite quality — 29.2/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 9.2 / 17

Access Clarity 7.6 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.5 / 10

Discoverability 6.5 / 9

Regulatory Posture 6.3 / 15

Agent readiness — 20/100 · 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 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 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

Regulatory Posture applies to this provider. Its tags matched the Securities & Market Data 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.

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/. This rating is computed from github.com/api-evangelist/lunarcrush: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

LunarCrush API v4

REST API for LunarCrush social and market intelligence. Endpoints cover trending topics, categories, creators, posts, coins, stocks, and NFTs, including summary snapshots, histo...

LunarCrush.ai

AI/agent-native interface to LunarCrush data at lunarcrush.ai. Exposes topics, categories, creators, posts, and search as clean machine-readable endpoints returning markdown by ...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conventions

Lifecycle

Conformance

DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

CLI

CLI

Packages

Packages

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

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)

x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 14
  pass: local-v1
aid: lunarcrush
name: LunarCrush
description: 'LunarCrush is a real-time social intelligence platform for crypto, stocks, and trending topics. It aggregates
  billions of public posts from X (Twitter), Reddit, YouTube, TikTok, Instagram, and News across 4,000+ assets, runs them
  through topic classification, spam/bot filtering, sentiment scoring, and creator weighting, and turns them into proprietary
  metrics such as Galaxy Score, AltRank, TopicRank, CreatorRank, Social Dominance, and Sentiment. LunarCrush exposes this
  data through two developer surfaces: the LunarCrush API v4 (a REST API at lunarcrush.com/api4 for topics, categories, creators,
  posts, coins, stocks, and NFTs) and lunarcrush.ai (an AI/agent-native interface returning markdown/JSON/CSV, with a hosted
  Model Context Protocol server and a first-party CLI). Both use Bearer-token API-key authentication.'
url: https://raw.githubusercontent.com/api-evangelist/lunarcrush/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://lunarcrush.com/apple-touch-icon.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: enriched
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Social Intelligence
- Cryptocurrency
- Stocks
- Sentiment Analysis
- Social-Media
- Market Data
- Analytics
- AI Agents
- MCP
tags_raw:
- Company
- Social Intelligence
- Cryptocurrency
- Stocks
- Sentiment Analysis
- Social Media
- Market Data
- Analytics
- AI Agents
- MCP
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- name: LunarCrush API v4
  description: REST API for LunarCrush social and market intelligence. Endpoints cover trending topics, categories, creators,
    posts, coins, stocks, and NFTs, including summary snapshots, historical time series, top posts, news, and AI "what's up"
    summaries. Authenticated with a Bearer API key.
  humanURL: https://lunarcrush.com/developers/api/endpoints
  baseURL: https://lunarcrush.com/api4
  tags:
  - Social Intelligence
  - Cryptocurrency
  - Stocks
  - Market Data
  properties:
  - type: Documentation
    url: https://lunarcrush.com/developers/api/endpoints
  - type: APIReference
    url: https://github.com/lunarcrush/api
  - type: Authentication
    url: authentication/lunarcrush-authentication.yml
- name: LunarCrush.ai
  description: AI/agent-native interface to LunarCrush data at lunarcrush.ai. Exposes topics, categories, creators, posts,
    and search as clean machine-readable endpoints returning markdown by default (JSON with ?format=json, CSV with ?format=csv),
    plus a hosted MCP server and a first-party CLI. Bearer API-key auth.
  humanURL: https://lunarcrush.ai
  baseURL: https://lunarcrush.ai
  tags:
  - AI Agents
  - MCP
  - Social Intelligence
  properties:
  - type: Documentation
    url: https://lunarcrush.ai/llms.txt
  - type: MCPServer
    url: mcp/lunarcrush-mcp.yml
  - type: CLI
    url: cli/lunarcrush-cli.yml
common:
- type: Website
  url: https://lunarcrush.com/
- type: DeveloperPortal
  url: https://lunarcrush.com/developers/api
- type: Documentation
  url: https://lunarcrush.com/developers/api/endpoints
- type: APIReference
  url: https://github.com/lunarcrush/api
- type: Authentication
  url: authentication/lunarcrush-authentication.yml
- type: MCPServer
  url: mcp/lunarcrush-mcp.yml
- type: CLI
  url: cli/lunarcrush-cli.yml
- type: Packages
  url: packages/lunarcrush-packages.yml
- type: Conventions
  url: conventions/lunarcrush-conventions.yml
- type: Lifecycle
  url: lifecycle/lunarcrush-lifecycle.yml
- type: Conformance
  url: conformance/lunarcrush-conformance.yml
- type: DataModel
  url: data-model/lunarcrush-data-model.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/lunarcrush-llms.txt
- type: DomainSecurity
  url: security/lunarcrush-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/lunarcrush
- type: Pricing
  url: https://lunarcrush.com/pricing
- type: SignUp
  url: https://lunarcrush.com/signup
- type: Blog
  url: https://lunarcrush.com/blog
- type: Support
  url: https://lunarcrush.com/support
- type: TermsOfService
  url: https://lunarcrush.com/terms
- type: PrivacyPolicy
  url: https://lunarcrush.com/privacy