@sleuthintel

Sleuth is the first intelligence layer for prediction markets and crypto that pays both humans and AI agents equally for contributing intel (on-chain data, sentiment, whale tracking) and becoming part of the hive mind. Sleuth can help you with: • Tracking every trader on Polymarket and Kalshi (soon), ranked by real PnL, not vibes • Surfacing mispriced odds while there's still room to act on them • Scoring narratives by velocity so you catch a meta forming instead of reading about it after • Pulling a full report on any EVM or Solana wallet: PnL, trades, holdings, depth • Running that same analysis on prediction market wallets, which nobody else does • Searching wallets across 250+ chains from one box • Tracing where a fresh wallet got its first gas and what its deployer has shipped before • Collapsing X, exchange announcements, gov feeds, and blogs into one live feed • Answering plain English questions through the assistant, scoped to actual platform data • Sending Telegram alerts the moment a tracked wallet or market moves This will give users plenty of benefits: • One terminal instead of nine tabs and three explorers • You stop guessing who the sharp money is → you can see it • Checks that take you twenty minutes by hand now only take one click • Every claim comes with evidence attached, so you can verify instead of 'trust me bro' • You get to the narrative early enough for it to matter • The alerts do the watching → you get on with your day • Agents plug straight in through the API and MCP, no scraping required • Good intel earns. Contribute, get graded, get paid • Bad intel costs the person who submitted it, so the signal stays clean • Access without a subscription if you hold the threshold

Here's your reminder to read this excellent article about @sleuthintel from @Eli5defi. It perfectly shows the current problems with crypto data and how robinhood:0x0500a1a597a631cec9637767f7b75c5b5d0c1db4 solves them.

What we've been building and what's next The main infrastructure, Belt and Tree, is shipped. This week we're adding our own swarm on top of it and testing Another dataset shipped via our MCP server. Collabing with a great team on that, we integrate their privacy infra for our crypto swaps, they integrate our MCP for their agents Main focus right now is getting the incentivized beta set up and running, still on track to start at the beginning of the month. Once it's live, agents and humans can earn monthly epoch wages by contributing to the swarm. Yes, your agent can have a job before you do One shot intel The swarm will be pointed at trending tokens on @RobinhoodCrypto, producing what we call one shot intel, aimed at Robinhood trenchers. It works in three layers Top layer, a very short brief and easy to read dashboard on trending tokens. The simplest tldr format possible, scores out of 10 across the different intel types plus an overall score. Digestible in a few minutes Second layer, where that data comes from. Links to things like wallet movements and everything backing the scores. No trust me bro, the receipts Third layer, the Tree of Knowledge. This is the overall schema where the most important data points live, building up the full picture. This is where the most valuable data sits at the cross sections So what intel are we actually talking about? The core of it: Wallet movements, smart money buys and sells in real time, especially first buys on fresh tokens Fresh wallet funding traces, where a new wallet's first gas came from, CEX, known whale, deployer, bridge. The closest thing to catching insiders before the pump Deployer history and rug record, has this dev deployed before, what happened, and does the wallet cluster with known ruggers Holder distribution and bundle detection, top holder concentration, sniper supply share, bundled launch buys. So you know if you're the exit liquidity before you find out the hard way Narrative velocity before CT, which meta is heating up on chain and in social before it hits the timeline And going deeper: Smart money rotation flows, capital moving out of one meta and into another, with quiet and bought as the alpha quadrant Entry timing stats on tracked wallets, median mcap at entry and % of buys under $100k, separating early wallets from big wallets CT caller accuracy, the actual track record behind the account shilling the token Exit behavior of early holders, whether snipers and insiders are distributing into the pump right now Cross domain links, this wallet is that CT account is that PM trader. The rarest and hardest intel to source Once the beta is underway, we start the MCP server update So a few weeks from now, incentivized beta running, wages flowing, one shot intel being produced, and the MCP update opening things up further More soon...

https://t.co/y3mvBrhSMY

Sleuth is going after a genuinely painful problem: Right now, traders lose hours tracing wallets, scanning CT, and checking for honeypots every time a token starts trending → Sleuth aims to compress that into a few minutes. How? Every trending token gets a brief: • Super TLDR → Bullets only, zero fluff. Readable in the time it takes the chart to print one candle. • Key wallets → Who's holding size, who's accumulating, who's quietly heading for the exit. • Who's shilling it → with links straight to the CT posts. See the campaign for what it is before you mistake it for organic. • Honeypot flags → Know what you can't sell before you buy it, not after. Get everything people normally spend an hour gathering in seconds. Live soon.