LunarCrush Builders
@LC_builder

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

 California, United States
LunarCrush.com
Joined July 2019
2,508 Photos and videos
Before you pitch a creator, you want the ten who carried the conversation. lunarcrush creators microsoft --limit 10 --format json 19,470 accounts mentioned Microsoft in the last 24 hours as of this morning, up 18% on the day before. Ranked ten back as JSON you can pipe.
Terminal output of the lunarcrush creators command for microsoft, listing five creators from dexerto at 8,155,178 interactions down to gamersnexus at 549,095, drawn from 19,470 creators in 24 hours.

ALT Terminal output of the lunarcrush creators command for microsoft, listing five creators from dexerto at 8,155,178 interactions down to gamersnexus at 549,095, drawn from 19,470 creators in 24 hours.

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Included on every paid plan, with a manual binary for Windows: 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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social_dominance is a share, so check the denominator before quoting it. Inside technology-brands, last 24 hours as of this morning, YouTube reads 33% and TikTok 26%. That is share of one category. The category is 14.6% of all tracked conversation, which puts YouTube nearer 5%.
Trimmed API response for the youtube topic inside technology-brands showing social_dominance 33.0, beside panels reading 33% of category, 14.6% of all tracked, and 5% implied share of all.

ALT Trimmed API response for the youtube topic inside technology-brands showing social_dominance 33.0, beside panels reading 33% of category, 14.6% of all tracked, and 5% implied share of all.
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Feeding an agent social data usually means a scraper, a cleaner, a chunker and a vector store somebody owns. lunarcrush.ai returns the same data as LLM-ready markdown, addressed by topic, creator, category or post. Same bearer key. No pipeline to staff.
Bash example showing a curl to lunarcrush.ai with a bearer key, plus the creator, category and post address forms, returning markdown rather than JSON.

ALT Bash example showing a curl to lunarcrush.ai with a bearer key, plus the creator, category and post address forms, returning markdown rather than JSON.

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How the paths are addressed, with examples: 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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Nobody is asking for another dashboard. They want the numbers inside what they already have open. One key covers the REST API, the CLI and the MCP server. JSON into a warehouse, a notebook, a Slack alert, or an assistant that answers in place. Same header for all of it.
Four step pipeline diagram: LunarCrush API as JSON over HTTPS, one bearer key covering API, CLI and MCP, a warehouse, then alerts and assistants in Slack and Zapier.

ALT Four step pipeline diagram: LunarCrush API as JSON over HTTPS, one bearer key covering API, CLI and MCP, a warehouse, then alerts and assistants in Slack and Zapier.

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A volume spike alone is a weak alert. Volume up with sentiment down is the one worth waking someone for. Anthropic on Sept 9: interactions hit 6.3x the trailing 14-day median while sentiment fell from 74% to 24% in a day. /topic/anthropic/time-series/v1. Code in the reply.
Daily interactions on the anthropic topic from Aug 26 to Sept 23, with Sept 9 highlighted at 424M against an alert threshold set at 5 times the 14 day median.

ALT Daily interactions on the anthropic topic from Aug 26 to Sept 23, with Sept 9 highlighted at 424M against an alert threshold set at 5 times the 14 day median.

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Swap the topic and the 5x threshold to match your own baseline. The last row is a partial day, so it reads r[-2].
Eleven lines of Python that read the anthropic daily time series and alert only when interactions clear 5 times the median and sentiment falls more than 20 points.

ALT Eleven lines of Python that read the anthropic daily time series and alert only when interactions clear 5 times the median and sentiment falls more than 20 points.
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Your brand monitor watches X. Here is what that leaves on the table. Samsung, last 24 hours as of this morning: 171.7M engagements. YouTube and TikTok carried 91% of them. X carried 8.4%. /topic/samsung/v1 returns the per-network split in the same response.
Bar chart of Samsung interactions by network over 24 hours: YouTube 83M at 48%, TikTok 74M at 43%, X 14M at 8%, with Instagram, Reddit and news below one percent.

ALT Bar chart of Samsung interactions by network over 24 hours: YouTube 83M at 48%, TikTok 74M at 43%, X 14M at 8%, with Instagram, Reddit and news below one percent.

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Six networks in one response, and the setup paths for Slack, Zapier and assistants: 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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Post volume and attention are different quantities. Rank by the wrong one and you collect the wrong rows. /categories/list/v1, last 24 hours as of this morning: Cryptocurrencies sits 9th by mentions, 19th by engagements. 672 engagements per mention. Social Networks: 4,946.
Table of LunarCrush categories showing Cryptocurrencies ranked 19th by engagements but 9th by mentions at 672 engagements per mention, against 4,946 for Social Networks.

ALT Table of LunarCrush categories showing Cryptocurrencies ranked 19th by engagements but 9th by mentions at 672 engagements per mention, against 4,946 for Social Networks.

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The full field list for the ranking call: 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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An average never tells you which row to open. NFL sat at 68% sentiment in the last 24 hours as of this morning. Inside it, the top 15 teams ran from 88% down to 49%. /category/nfl/topics/v1 finds the outlier. /topic/<that>/posts/v1 gives you the posts. Code in the reply.
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import os, requests h = {"Authorization": "Bearer " + os.environ["LUNARCRUSH_API_KEY"]} b = "lunarcrush.com/api4/public" rows = requests.get(f"{b}/category/nfl/topics/v1", headers=h).json()["data"] worst = min(rows[:15], key=lambda r: r["sentiment"])
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Before you wire a topic into a collector, check the conversation is the thing you think it is. lunarcrush topic minecraft Last 24 hours as of this morning: 642.3M engagements, 38,896 creators, 65% sentiment. The creators table is the tell. All ten are game channels.
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Install is one line on macOS and Linux, and it ships with 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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Your exec digest needs a paragraph up top. Someone keeps maintaining a summarizer for it. /topic/:topic/whatsup/v1 returns a generated summary of a topic's conversation, same bearer header as every call. No prompt to tune, no second model bill. Keep the fields underneath.
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Where the Slack, Zapier and assistant setups are documented: 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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Brand monitoring breaks when your name means something else. HP is also hit points. Apple is also a fruit. Custom searches take inclusion and exclusion terms and return a slug you query like any other topic. Pipe the alerts into Slack or Zapier.
Custom search rules for an ambiguous brand name: include HP Inc, laptop, printer; exclude hit points, Harry Potter, HP bar. Illustrative posts show brand posts kept and gaming posts dropped.

ALT Custom search rules for an ambiguous brand name: include HP Inc, laptop, printer; exclude hit points, Harry Potter, HP bar. Illustrative posts show brand posts kept and gaming posts dropped.
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Prompt for Claude with the LunarCrush MCP connected: where do the OpenAI and Anthropic conversations happen? Two topic calls. OpenAI: 291.3M engagements, 30% of them on TikTok. Anthropic: 138.7M, with 58% on X and 27% on YouTube. Same category, different channel plans.
Share of 24h engagements by network. OpenAI, 291.3M total: X 48%, TikTok 30%, YouTube 18%. Anthropic, 138.7M total: X 58%, YouTube 27%, TikTok 13%.

ALT Share of 24h engagements by network. OpenAI, 291.3M total: X 48%, TikTok 30%, YouTube 18%. Anthropic, 138.7M total: X 58%, YouTube 27%, TikTok 13%.

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Config for Claude Desktop, Cursor and any MCP client, using your existing API key: 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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