RobinX Score — Methodology
Summary. RobinX scores who launches a token, not just what the contract says. It holds the complete transaction history of Robinhood Chain from genesis — every launch, swap, and transfer — and derives from it a per-deployer reputation score, per-token insider-flow flags, and a measured leaderboard of which X (Twitter) accounts actually move prices. Out of sample, deployers scoring 70+ went on to produce real tokens at 5.5× the chain baseline.
1. Data foundation
RobinX ingests Robinhood Chain from block 0 (chain genesis, May 2026; public mainnet 2026-07-01) via full-history sweeps, plus a live WebSocket tail that captures every new launch and swap within seconds, re-scored on a rolling cycle. As of 2026-07-10 the corpus covers:
| Dataset | Size (2026-07-10) | Source |
|---|---|---|
| Tokens indexed (RobinFun launchpad) | 39,765 | factory creation events, genesis→now |
| Deployers scored | 15,185 | creation-event attribution |
| Swaps processed (genesis corpus) | 3.26M+ | Uniswap v3 pool events |
| ERC-20 transfers traced | 2.71M+ | all RobinFun token contracts |
| X posts about RH-chain tokens | rolling | continuous polling, chain-anchored matching |
A structural finding baked into the pipeline: RobinFun has no discrete “graduation” event. Every token receives its Uniswap v3 WETH pool at creation (verified across 100% of launches). Milestones like “became tradeable” are therefore computed from swap activity, not read from an event log.
2. Definitions
Real token
A token whose pool has transacted ≥ 1 WETH cumulative volume AND attracted ≥ 20 unique traders. On the genesis corpus (17,037 launches through 2026-07-08), 16.96% of tokens ever became real — versus roughly 1% graduation rates on comparable Solana launchpads.
Deployer score (0–100)
Computed per deployer wallet from complete history: tokens launched, share reaching real activity, dead-token share, best token’s WETH volume, and whether the deployer performs wallet-to-wallet token distribution before dumps (insider-prep pattern). Signals are transparent rules, not a black box — every score returns machine-readable reasons[].
Insider flow
Tokens acquired by transfer rather than purchase. On the genesis corpus, 4,181 wallets (~5% of all traders) received tokens wallet-to-wallet off-market and then sold into pools, realizing 23,224 WETH (~$40M) — and every one of the top-10 profit wallets on the chain is in this cohort. Insider-share of supply is a first-class risk input in every verdict.
3. Out-of-sample calibration
The score’s discriminating power is tested forward, not backfit. Method: freeze scores at a cutoff block, then measure outcomes of new launches after the cutoff.
| Cohort (at launch time) | Real-token rate (forward) | vs baseline |
|---|---|---|
| Deployer score ≥ 70 | 41% | 5.5× |
| All launches (baseline) | 7.4% | 1.0× |
| Serial spam factories (10+ launches, 0 real) | ≈0% | avoid |
Extremes are stark and stable: the deployer behind the chain’s largest token is 7-for-7 on real launches; the largest spam factory is 0-for-325. 288 serial spam factories are currently flagged. Live, refreshed calibration is published continuously at robinx.io/proof.
4. Caller intelligence (X / Twitter)
RobinX joins chain-anchored X mentions to on-chain price series (from our own swap data) to measure which accounts’ posts precede moves. Two disciplines make this credible:
- Chain-anchored matching. A cashtag alone never maps to a token (tickers collide across chains). Mentions attach to a token only via an explicit contract address, a robinhood-slug DEX link, or registry-resolved co-mention.
- Early vs. momentum split. For every call we check the price run in the 30 minutes before the post. A caller who posts after a +50% run is riding momentum, not predicting. On the current corpus the median pre-mention run is +6%, and only 18% of mentions land after a token is already +50% — i.e., genuine early-calling exists on this chain and is measurable.
Per-caller lift (median forward return at +1h/+6h/+24h, win rate, early-rate) is accumulated continuously; callers only enter the public leaderboard once sample sizes are statistically meaningful.
5. Honest limitations
- The chain is young (public mainnet 2026-07-01). Forward windows are short; calibration hardens weekly and this page updates with it.
- Caller samples are small for many accounts (3–14 calls); treat individual caller stats as provisional until n grows.
- Deployer scores can be evaded by wallet rotation; funding-lineage clustering (inheriting reputation across linked wallets) mitigates but does not eliminate this.
- RobinX measures and sells information. Nothing here is investment advice, and RobinX never executes trades.
6. Access
Every signal is served machine-readable: pay-per-call via the x402 API (USDC on Base, no signup, no API key) or through the RobinX MCP server for Claude/Cursor-class agents. Response envelope: {data, signal, confidence, sources, model_used, latency_ms, timestamp} with constrained per-endpoint signal enums (e.g. trusted / mixed / avoid / serial_spammer).
Changelog
| Date | Change |
|---|---|
| 2026-07-10 | Updated corpus counts (39,765 tokens, 15,185 deployers); added caller early-vs-momentum figures. |
| 2026-07-09 | v1 published: score definition, real-token threshold, out-of-sample 5.5× calibration, insider-flow findings. |