$Saints — 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 0x7bb2ffaf9b9245eee7a5453906fd6f6441e1812e: 20 other launches on record (14 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: 76 swaps, 5.5 WETH volume, 39 traders — crossed the real-activity threshold.
Other tokens from the same deploying wallet: $FABLEOS (reached real activity), $DORKL (did not reach real activity), $Turtle (did not reach real activity), $Liam (reached real activity), $VULTURE (reached real activity), $omo (reached real activity), $HODL (reached real activity), $kylie (reached real activity).
Use this report in your agent or trading bot
The same report as JSON: GET https://api.robinx.io/report/0x8b700e7e39e54c907036f4dba6d80bd6398e9dba?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":"0x8b700e7e39e54c907036f4dba6d80bd6398e9dba"}; 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.