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California, United States
Joined July 2019
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The whole alert: daily buckets, grouped by weekday, yesterday against its own median. lunarcrush.com/en/developers…
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A single alert threshold is really a weekend detector. /topic/minecraft/time-series/v1, bucket day, 89 full days to Oct 23. Mean engagements: Sunday 968M, Saturday 962M, Tuesday 817M. All days together, 865M. Group by weekday, then alert.
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A weekend build with no JSON parsing in it. lunarcrush.ai serves the same data as LLM-ready markdown, addressable by path. /list/categories came back this morning as a ranked table of all 41 categories. Point the agent at the path. Skip the client library.
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A sentiment percent with no mention count beside it is noise. /topic/runway-ai/v1 returned 90% sentiment as of this morning, across 144 mentions from 39 accounts. /topic/open-ai/v1 returned 77%, across 92,458 mentions. Read sentiment and num_posts together.
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"Which network is driving this?" should not cost a sprint. /topic/tesla/v1 returns all six. As of this morning X held 69% of the 91,963 mentions and 21% of the 301.7M interactions. YouTube: 12% of mentions, 39% of interactions. X-only monitoring sees the talk, not the reach.
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Ask Claude which gaming topics sit furthest below their category on sentiment. The MCP list tool reads /category/gaming/topics/v1 and answers in one turn. Gaming ran 69% sentiment as of this morning. Resident Evil ran 21% across 15,596 mentions. One outlier, no dashboard.
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Swap the topic and the multiplier. bucket=day is the only parameter it needs.
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Every spike alert on a daily series ships the same bug. The last row is a partial day, so today always looks like a collapse. Drop it, take the median of what is left, fire at 1.2x. On the anthropic topic: median 101.4M interactions over 29 complete days, 3 days above the line.
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One command returns all six networks. No per-network auth. lunarcrush topic porsche As of this morning X carried 37% of mentions and 7.8% of interactions. TikTok carried 34% of mentions and 48% of interactions. Where people talk is not where reach lands.
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Follower count is a weak filter for influence. /topic/roblox/creators/v1 returns followers next to 24h interactions. As of this morning the top creator held 842K followers and 93.2M interactions. A 15.1M-follower account in the same table: 5.8M. Rank by delivered reach.
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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.
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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.
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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.
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