How fomoGPT checks a token

fomoGPT asks you to confirm the token and chain, fetches the available data, then explains the checks. The AI writes the explanation; the displayed numbers come from data sources or calculations.

Reviewed 27 October 2026 — product implementation

First, confirm the asset

A name or ticker can match several tokens. fomoGPT searches for candidates and shows their chain and address. You choose one before the analysis runs. An address identifies a token on a particular chain; it does not establish who created it or whether it is trustworthy.

Where the data comes from

Dexscreener supplies trading-pair data such as price, market cap or fully diluted valuation, pool liquidity, recent trade counts and pool creation time. A token can trade in more than one pool. The analysis combines the returned liquidity and uses its largest returned pool for the sale estimate.

GoPlus supplies supported security and holder fields. When some fields are unavailable, fomoGPT can use GeckoTerminal for supported holder information and Solana authority fields. A configured Blockscout integration can supply holder information on supported chains. Candle data comes from GeckoTerminal when available.

The sources used are recorded with the snapshot. Coverage depends on the chain, token and provider response. The analysis does not examine every blockchain protocol or every contract permission.

What the calculations mean

The sale estimate models a sale into the largest returned pool, assuming an equally balanced pool with a constant-product formula. It is a way to explain price impact. It is not an exchange quote, a route simulation or an executable order. Fees, pool design, routing and other trades can change the result.

Top-holder concentration describes token accounts reported by the source. Accounts are not people: a pool or exchange may hold for many users, and one person may control several accounts. Provider methods and excluded addresses can differ.

Pool age is the age of the main trading pool, not the age of the project. Buy and sell counts show how many trades occurred in the period, not the amount of money behind them.

What the AI does

The model reads the screenshot and writes a plain-English summary and follow-up answers from the supplied snapshot. Instructions require it to use the supplied numbers, explain jargon and avoid buy or sell recommendations. The context includes unknown values and checks that could not be done, so the summary can flag important gaps. An AI explanation can still be incomplete or mistaken.

What remains unchecked

The standard analysis does not establish who controls the largest accounts or whether liquidity is locked. It does not verify a project's intentions, predict future prices or prove that a token is not a scam. It does not connect to a wallet or execute trades.

An analysis is a dated snapshot. Conditions can change after it is generated. Historical token moves are not the user's trading results, and the site does not publish a validated accuracy rate or aggregate avoided-loss statistic.

Recheck the source when the decision matters

Use the source and fetch time to understand the scope of a result. If a figure is missing, contradictory or important to your decision, check the relevant source directly. Start with the memecoin checklist for an explanation of the main metrics.

What this does not prove

  • A check does not establish that a token is safe, predict its price or guarantee that you can sell it.
  • The fetch time records when fomoGPT collected the snapshot. It does not guarantee that every upstream field was updated at that instant.
  • Provider coverage and holder definitions vary. Missing data can leave a check unavailable.

Sources