Token report · Robinhood Chain · 4663

Who's behind it — before you touch it.

symbol · name · address — reports free up to 25/day, then $0.05 x402

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$DOG — Robinhood Chain token report

Verdict: MIXED (55% confidence). deployer's other launches: 19 launched, 12 reached real activity, 4 dead

Deployer 0x2258bd78e794b837aa28cd4c3b12c50607fe8ce3: 19 other launches on record (12 reached real activity, 4 died), reputation score 59/100 from those. This token's own trading is not counted in its deployer's score.

On-chain activity: 218 swaps, 17.1 WETH volume, 72 traders — crossed the real-activity threshold.

Other tokens from the same deploying wallet: $CAESAR (did not reach real activity), $HODL (reached real activity), $POOPEYES (reached real activity), $SPCXx (reached real activity), $FOMOHOUSE (reached real activity), $ALONE (reached real activity), $BITMINE (reached real activity), 0x93c95e51 (did not reach real activity).

Use this report in your agent or trading bot

The same report as JSON: GET https://api.robinx.io/report/0x44237d533ee6fbfd1c63bbd28b737a7d53b10d52?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":"0x44237d533ee6fbfd1c63bbd28b737a7d53b10d52"}; 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.