$PRINTR — Robinhood Chain token report
Verdict: AVOID (90% confidence). launched through a known launch template (contract 0x1cba…a149), as were 16 other tokens by this deployer: 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 0x0a7c1ca3e17dc26decadb5aa36cf546579366912: 23 other launches on record (16 reached real activity, 6 died), reputation score 20/100 from those. This token's own trading is not counted in its deployer's score.
On-chain activity: 219 swaps, 29.3 WETH volume, 61 traders — crossed the real-activity threshold.
Other tokens from the same deploying wallet: $AuraBattle (reached real activity), $🐂 (reached real activity), $SALAM (reached real activity), $ChillNeegy (reached real activity), $Swans (reached real activity), $BTC (reached real activity), $uni (reached real activity), $LaurenBot (reached real activity).
Use this report in your agent or trading bot
The same report as JSON: GET https://api.robinx.io/report/0x22c42894381ed52d780af18b4950fb8025f4b783?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":"0x22c42894381ed52d780af18b4950fb8025f4b783"}; 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.