@LC_builder

Build rich applications with real-time social data. Powered by @LunarCrush.

 California, United States
LunarCrush.com
Joined July 2019
  • Tweets13K
  • Following4
  • Followers15.7K
2.6KMedia
One dataset in three places is usually three integrations. The pipeline reads JSON. The analyst lives in a terminal. The assistant speaks MCP. One LunarCrush key covers all three, same Bearer header. Five active keys, so each environment holds its own.
Table comparing three LunarCrush access paths: REST API v4 as JSON over HTTPS, the CLI included on every paid plan, and the MCP server at lunarcrush.ai/mcp, each authenticating with the same Bearer API key header. A note says up to five active keys are managed on the API Keys page.

ALT Table comparing three LunarCrush access paths: REST API v4 as JSON over HTTPS, the CLI included on every paid plan, and the MCP server at lunarcrush.ai/mcp, each authenticating with the same Bearer API key header. A note says up to five active keys are managed on the API Keys page.

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Keys are managed on the API Keys page, five active at a time. lunarcrush.com/en/developers…

Manage your LunarCrush API keys

Generate, rotate, and scope keys. Includes rate-limit guidance and security best practices.

lunarcrush.com
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Four ways a correct API response still looks wrong. /coins/list/v1 is cached up to an hour, v2 refreshes every few seconds. The last row of a daily time series is a partial day. And /system/changes logs edits that move historical numbers. The generated field dates the payload.
A table of four documented API behaviours: coins list v1 cached up to an hour, v2 refreshing every few seconds, the last row of a daily time series being a partial day, and system changes logging edits to history.

ALT A table of four documented API behaviours: coins list v1 cached up to an hour, v2 refreshing every few seconds, the last row of a daily time series being a partial day, and system changes logging edits to history.

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Field list and the freshness note for the uncached version: lunarcrush.com/en/developers…

Build with LunarCrush: API, MCP, and SDKs

Social sentiment, market data, creators, and trending topics for crypto and stocks — one API. MCP-ready for Claude, ChatGPT, and Gemini.

lunarcrush.com
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Rate limits decide your architecture before your code does. Hobby: 4 requests a minute, market data only. Individual: 10. Builder: 100 a minute, 20,000 a day, every endpoint. Scale: 500 and 100,000. A nightly batch over 500 topics fits Builder. A live per-user panel does not.
A table of LunarCrush plan limits: Hobby 4 requests a minute and 100 a day on market data only, Individual 10 a minute and 2,000 a day, Builder 100 a minute and 20,000 a day on all endpoints, Scale 500 a minute and 100,000 a day.

ALT A table of LunarCrush plan limits: Hobby 4 requests a minute and 100 a day on market data only, Individual 10 a minute and 2,000 a day, Builder 100 a minute and 20,000 a day on all endpoints, Scale 500 a minute and 100,000 a day.

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Three hours of glue code to give an assistant social data, or one config block. The MCP server is a URL and a bearer header. Claude Desktop reaches it via mcp-remote. Cursor and any client that takes a URL points straight at it. One key covers the API, the CLI and MCP.
A JSON config block for Claude Desktop that runs npx mcp-remote against the LunarCrush MCP server at lunarcrush.ai/mcp with an Authorization Bearer header.

ALT A JSON config block for Claude Desktop that runs npx mcp-remote against the LunarCrush MCP server at lunarcrush.ai/mcp with an Authorization Bearer header.

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The exact config for both clients, and where the key comes from: lunarcrush.com/en/developers…

Plug LunarCrush into any MCP client

Tool definitions, auth, and example workflows for Claude, ChatGPT, Gemini, and any MCP-compatible client.

lunarcrush.com
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A weekend build that outlives the weekend: one cron line, the CLI, and a webhook. Pull your category at 07:00, keep the two columns anyone reads, post the change into the channel where the decision happens. No scraper, no per network auth, no dashboard for people to forget.
Four step pipeline diagram: one cron line, the LunarCrush CLI, two columns trimmed, and a webhook into a Slack channel.

ALT Four step pipeline diagram: one cron line, the LunarCrush CLI, two columns trimmed, and a webhook into a Slack channel.

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Slack and Zapier are already on the list of clients this works with: lunarcrush.com/en/integratio…

Connect LunarCrush to your stack

Claude, ChatGPT, Gemini, Slack, Zapier, and beyond — via MCP and API.

lunarcrush.com
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The spam field comes back as a count, not a share. Teams wire it to a threshold and then wonder why it never fires. /topic/debt/time-series/v1, yesterday: 40,665 active mentions, 1,590 flagged. That is 3.9%. Divide by posts_active first. The raw count mostly tracks volume.
Trimmed API response row for the debt topic on October 15 showing 40,665 active mentions and 1,590 flagged as spam, a 3.9 percent share.

ALT Trimmed API response row for the debt topic on October 15 showing 40,665 active mentions and 1,590 flagged as spam, a 3.9 percent share.

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If your brand name is also a common word, your monitoring measures strangers. The gold topic drew 120,540 mentions from 76,718 accounts in 24 hours. The accounts at the top of it sell jewellery, perfume and craft kits. /searches/create defines the query once.
Funnel showing 120,540 mentions on the gold topic from 76,718 accounts, led by retail sellers, resolved by one custom search.

ALT Funnel showing 120,540 mentions on the gold topic from 76,718 accounts, led by retail sellers, resolved by one custom search.

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Who is carrying the Netflix conversation. That question used to start with a scraper. lunarcrush creators netflix --limit 10 --format json 1,485 accounts mentioned it in the last 24 hours as of this morning. Ten rows come back with followers and engagements on each.
Terminal card showing the lunarcrush creators netflix command returning ten rows of followers and engagements, against 1,485 accounts counted in 24 hours.

ALT Terminal card showing the lunarcrush creators netflix command returning ten rows of followers and engagements, against 1,485 accounts counted in 24 hours.

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One line installs the CLI and it is included on every paid plan: lunarcrush.com/en/developers…

Build with LunarCrush: API, MCP, and SDKs

Social sentiment, market data, creators, and trending topics for crypto and stocks — one API. MCP-ready for Claude, ChatGPT, and Gemini.

lunarcrush.com
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Ranking a category by engagements ranks audience size. It says nothing about how hard one post lands. Countries is the largest category by engagements. By engagements per mention it sits 14th of 41. This morning: La Liga 5,076 per mention, Cryptocurrencies 589.
Table of six LunarCrush categories ranked by engagements per mention, from La Liga at 5,076 down to Cryptocurrencies at 589, with Countries highlighted at 3,092.

ALT Table of six LunarCrush categories ranked by engagements per mention, from La Liga at 5,076 down to Cryptocurrencies at 589, with Countries highlighted at 3,092.

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Swap in your own category slug and the ranking changes shape. Field names are in the response, so print one row before you commit to a label.
Seven lines of Python that pull the categories list endpoint and sort every category by engagements divided by mentions.

ALT Seven lines of Python that pull the categories list endpoint and sort every category by engagements divided by mentions.

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Your competitor list has five names on it. The category has 39. /category/social-networks/topics/v1 this morning: YouTube at 2.39B engagements, Mastodon at 173,678, Pixelfed at 435. Same fields on every row. The tail is where a new entrant shows up first.
Log scale scatter of 39 social platforms by mentions and engagements over 24 hours, from YouTube at 2.39B engagements down to Pixelfed at 435.

ALT Log scale scatter of 39 social platforms by mentions and engagements over 24 hours, from YouTube at 2.39B engagements down to Pixelfed at 435.

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Run it against any category slug and read the response shape before you write code: lunarcrush.com/en/developers…
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Most of the people who need this number will never open a dashboard to get it. The Integrations page lists Zapier. A scheduled Zap calls the endpoint and drops one line into the channel where the decision gets made. No client to install, no cron box, no engineer in the loop.
Four step flow from the LunarCrush API through a daily Zap and a one line format into the team channel where decisions happen.

ALT Four step flow from the LunarCrush API through a daily Zap and a one line format into the team channel where decisions happen.

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Which clients and automation tools connect today: lunarcrush.com/en/integratio…

Connect LunarCrush to your stack

Claude, ChatGPT, Gemini, Slack, Zapier, and beyond — via MCP and API.

lunarcrush.com
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A 70% sentiment alarm is a different alarm in every category. /categories/list/v1 this morning: NFTs 89%, VC Firms 88%, Events 87%. At the other end, Liga MX 48%, Natural Disasters 49%, UFC 56%. 41 categories, a 41 point spread. Threshold per topic.
Scatter of 14 of 41 categories by engagements and sentiment, spanning Liga MX at 48 percent up to NFTs at 89 percent.

ALT Scatter of 14 of 41 categories by engagements and sentiment, spanning Liga MX at 48 percent up to NFTs at 89 percent.

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