Why two crypto price websites can disagree
Different venues, timestamps and methodologies can create different snapshots.

The mechanism
An aggregate price and the last trade in a specific pool answer different questions. Data providers can select different markets, reject outliers differently or refresh at different times. A mismatch is a reason to inspect the method, not immediate proof that one provider is dishonest.
Put it into practice
Record the asset identifier, pair, timestamp and provider on both sides of the comparison. Then ask whether you are comparing a quote, a last trade or a weighted aggregate. For a thinly traded token, an executable quote for a defined amount is a separate measurement again. Keep screenshots with timestamps when reporting a discrepancy so another person can reproduce the issue.
Build a like-for-like comparison
Start with the same asset identifier on the same network. Record whether each figure is denominated in dollars, SOL or another asset, and capture its observation time. A conversion into dollars introduces another price source. An aggregate across exchanges and a last trade in one small pool should be labelled as different measurements, even when a website places them under the same word: price.
An illustrative discrepancy
Suppose one display shows 0.010 units of a quote asset from an earlier trade and another offers 0.009 units for a specified swap now. That difference alone cannot identify an error. The figures refer to different times and potentially different quantities. A useful support report supplies the pair, quantity and timestamps rather than demanding that two unlike measurements be made identical.
Keep the evidence in view.
www.coingecko.com — source & further reading ↗Checked for this edition on 7 October 2026. Examples are illustrative unless stated otherwise. Read our editorial standards.
Another angle.
What a candle tells you—and what it leaves out
A chart compresses trades; it does not explain every reason behind them.
An unlock calendar is a schedule, not a forecast
How to read release events without assuming every unlocked token will be sold.

