$SELLOR — Robinhood Chain token report
Verdict: AVOID (90% confidence). this deployer launched 14 tokens through a known launch template: in every sampled launch through the two contracts that run this template (342 of 342), the deployer removed all of the liquidity, a median of about 8 minutes after adding it
Deployer 0xd1a32b9e0cddc87f228661e7a147d7e19c27a42f: 20 other launches on record (18 reached real activity, 1 died), reputation score 20/100 from those. This token's own trading is not counted in its deployer's score.
On-chain activity: 49 swaps, 4.7 WETH volume, 26 traders — crossed the real-activity threshold.
Other tokens from the same deploying wallet: $Pancake (reached real activity), $ImagineSlo (reached real activity), $GLOW (reached real activity), $Racoonzill (reached real activity), $Sisyphus (reached real activity), $BOB (reached real activity), $UP (reached real activity), $小玉 (reached real activity).
Use this report in your agent or trading bot
The same report as JSON: GET https://api.robinx.io/report/0xee2abf73c0a186c78130fda391bec0a50696a565?tier=free, free for 25 reports a day per IP. Without ?tier=free, or past 25, it is $0.05 a report over x402, with no account. In an AI agent: run the RobinX MCP server (npx -y robinx-mcp) and call robinx_report with {"token":"0xee2abf73c0a186c78130fda391bec0a50696a565"}; with a funded Base wallet it pays per call over x402. The remote server at https://api.robinx.io/mcp serves the free tools, such as robinx_caller and robinx_search. For a bot that tracks calls as they happen, the signals API and webhooks deliver posts by measured X callers, usually within minutes. A measured record describes past calls; it is not a trading signal. More in the API guide.
RobinX measures who is actually right about Robinhood Chain (chain 4663): every X caller and every deployer graded against real on-chain price since chain genesis — who called it early, who chased, whose launches survive. Load the page for the live interactive report, the deployer history, and supply-flow forensics.
Labels are transparent, rule-based observations from public on-chain data — not accusations, and not financial advice.