attention is the signal, price is the reaction
attention moves first, price follows
markets move on attention. what starts as a post becomes a chart; culture turns into capital
we don't buy from charts; we buy from feeds. we scroll, we see who's posting, we check if it's legit - then we swap. checkr tracks token attention across farcaster and twitter to spot early market shifts, turning cultural movement into signal
attention was the missing chart.
now it isn't.
key metrics
feeds lead token movement; charts reflect it. the algo blends farcaster and twitter data using quality-weighted methods to produce more reliable metrics.
PRIMARYattention
your token's share of total social attention across all tracked tokens. this is the main signal - a composite metric that combines quality signals with momentum indicators, normalized daily so all tokens sum to 100%.
mindshare
how much of the conversation you own. measures the quality and reach of social posts mentioning your token relative to the entire ecosystem.
influence
who's actually moving the narrative. measures the impact of individual creators on a token's attention, factoring in their reach and how effectively they drive engagement.
velocity
how fast attention is changing. measures acceleration or deceleration in social interest by comparing recent activity to historical baselines. like attention, velocity is normalized across all tokens so you can compare momentum between any two tokens.
cross-platform blending
twitter and farcaster have vastly different engagement scales. we use precision-weighted share blending to combine them fairly - normalizing each platform separately, then blending based on activity confidence and freshness.
attention ranking
turning social activity into unified attention metrics.
creator attribution
identifies creators driving token attention.
api access
programmatic access to attention metrics and creator data.
request api access
plug into your project our social data.
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