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.
how checkr works
Four questions checkr answers about every narrative.
About checkr
checkr is real-time attention intelligence for Base chain tokens.
Most social analytics count posts. checkr models what posts do to each other.
Is this narrative self-sustaining?
Every post that gets engagement increases the probability of more posts. checkr measures the branching factor of each narrative: how many follow-on posts does each original post generate?
Above 1, the conversation is amplifying itself. Below 1, it's in decay — regardless of how loud it looks right now.
This can be estimated from the first 30 minutes of a spike, which means checkr can identify whether a signal will go viral or fade before most of it has happened.
Is the attention real?
Not all spikes are equal. A community self-organizing — builders referencing each other, independent voices converging on the same thesis — is a fundamentally different signal than a single whale tweet or a coordinated push.
checkr separates organic conviction from externally-triggered noise. High organic signal that's self-amplifying is the strongest signal in the stack. A catalyst with no community follow-through is a fade. Those are two different trades.
How long will it last?
Attention decays after peak exposure. Every narrative has a half-life — a protocol exploit burns out in hours, an ecosystem narrative can sustain for weeks.
checkr fits the decay rate in real time, per token, per cycle. Knowing where you are on that curve — and how many competing narratives are cannibalizing the available attention pool — is the difference between entering early and entering into a rotation.
It gets smarter over time
Every confirmed spike tightens the model. Every fade that looked like conviction updates it.
checkr doesn't just measure attention — it learns from every signal it gets right and wrong.
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. Full reference: api.checkr.social/docs.
request api access
plug into your project our social data.
request accesscheckr skill
Give your agent real-time attention intelligence for Base coins. The checkr skill works with Claude Code and OpenClaw so you can ask things like What's spiking on Base right now? or Check attention for $TOSHI. Pay per call in USDC on Base via x402.
install
From your project (.claude/skills):
Or tell your agent:
what you get
- Radar sweep — what's moving across all tracked Base tokens right now
- Token deep dive — ATT deltas, price, divergence signal, narrative summary
- Leaderboard — top 10 by attention share with trend direction
- Divergence detection — when attention and price move in opposite directions