$checkr update, new data live: - attention stage per token: discovery->building->sustaining->fading. know where a coin is in its cycle before the crowd does - health score per token. momentum, authenticity, quality. one number that tells you if a community is building, peaking, or bleeding - sentiment per token weighted across every post in the window. grok classifies each tweet before it hits the db. not vibes - top 25 creators per token by mindshare contribution. who’s moving the narrative, not who has the most followers - rotation tracking upgrade. where attention came from, how many pp moved, which creators switched tokens all of it is one x402 call away
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before an agent can do anything useful it needs signal not price feeds. not telegram alpha. actual attention signal: who's posting, how much is noise, where in the cycle the project sits most agents pipe in raw social data and hope the llm figures it out. that's not intelligence the fix is a better data layer checkr removes noise at fetch time. every post is llm-verified before it enters the pipeline, a year in the base trenches learning what real signal looks like vs manufactured noise. what comes out is clean, structured, interpreted. ready for an agent to consume two primitives i'm building: - attention stages: not just "this token is trending" but where in the cycle. early accumulation. peak noise. creator decay. different situations, different decisions - project health score: is this project alive? are creators still posting? is engagement growing or bleeding out? health is a leading indicator attention moves before price. one x402 call away
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clank on with checkr!! appreciate it 🫶🏼
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