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InferLi $AI

Pump.fun token on Solanalaunched 1 hour ago
37
PumpScore 37/100 Grade D
Weak market structure, from 10 live signals. Updated 1 hour ago.
PumpScore trend
0past 24h
InferLi (AI) currently holds a PumpScore of 37/100 - a Grade D read on its Solana market structure. It launched on Pump.fun 1 hour ago and shows thin liquidity of $- with $22.2K traded in the last 24 hours.

What makes up the score

Its standout signal is trade participation at 92/100; the softest is liquidity depth at 0/100, which keeps the overall grade where it is.

Liquidity depth0
Liquidity vs market cap0
24h trading volume76
Healthy turnover82
Buy / sell balance89
Trade participation92
Survival time3
Market-cap tier74
Price stability14
Volume vs liquidity0
Price
$0.0000181
Market Cap
$18.1K
24h Volume
$22.2K
Liquidity
$-
24h Change
+438%
24h Buys / Sells
218 / 146

Tip Getting noticed on Pump.fun is hard early on - a Pump.fun bump bot is a common way to boost volume and trending.

About InferLi

Building an AI inference marketplace for agents. Compare model prices, connect through one API, and track inference costs.

Contract

75CPUxnnkrDzqFhGuvphLTnNBtM6N9oLxGihVGbNpump

Common questions about InferLi

Should I buy InferLi?
This page is data, not a recommendation. The AI 37/100 reflects current structure, which can change fast. Do your own research before trading InferLi.
Is AI liquid enough to trade?
InferLi holds $- of liquidity - thin for a token this new. Liquidity versus market cap is one of the heaviest factors in its 37/100 score, since thin pools are easy to drain.
What is the market cap of InferLi?
InferLi is priced at $0.0000181 (+438% in 24h), giving it a $18.1K market cap on $- of on-chain liquidity as of Sep 28, 2026 16:00.
What score does InferLi have?
As of Sep 28, 2026 16:00, AI scores 37 out of 100 on PumpScore (Grade D). The score weighs thin liquidity, active volume and balanced trading into one number.
Is AI a rug pull?
No score can prove AI is safe. InferLi carries thin liquidity and a 37/100 structure read, but brand-new tokens can fail regardless. Treat this as data, not advice.

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