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Fixed rules. Public data. Every gap named.
Xhams is a read-only radar. It collects public data about NEAR tokens, runs the same checks on each one, and shows what it found together with where each number came from. It stops there: what you do with a reading is yours.
A reading is not advice and not a promise that a price will move.
Right now
CheckingSources OK
—
From the last probe of each data source
Tokens in view
—
Liquid tokens the analysts are reading
Assessed
—
Of those, with a stored risk reading
Headlines
—
News items in the last 24 hours
Three jobs, done on a timer with the same rules every time. All three only read; none of them moves money.
01 Find
It spots tokens worth a look
Scout reads every NEAR token the data provider lists with a priced pool, and the newest Rhea pairs. Tokens below a floor of liquidity are not treated as candidates, so dust does not crowd the board.
02 Check
It tests each one from several sides
Liquidity depth, holders and how concentrated they are, age, price against a second source, and trading balance. Each check adds to the evidence, or says it has no data.
03 Read
It gives one clear reading
The checks add up to a risk label and a 0 to 100 score, next to On-chain Heat for how unusual the last hour is. The radar stops there. What you do with a reading is up to you.
Data comes in from the sources, the analysts turn it into readings, and the readings show up on the pages you use. The dots come from the last probe of each source, so a quiet source looks different from a working one.
Sources
Analysts
Readings
System status is public at /api/v1/health.
New Pairs are Rhea AMM pools; their creation time comes from DexScreener and pairs without a verified time are marked as such. New Tokens are newly created tokens, including those from launchpads, detected from their factory contracts. A new token is not evidence of a new pool, and liquidity inside a DEX is not evidence that it is locked.
A 0–100 heuristic built from public data: provider reputation, liquidity depth, token age, holder count, top-10 holder concentration (known protocol/custody accounts excluded), liquidity versus market cap, volume churn, buy/sell balance, and agreement between price sources. Bands: low ≤ 25, medium ≤ 60, high above.
Every indicator lists its value, status, source, confidence and check time. Checks that could not be performed — notably contract code (mint/freeze/upgrade), and liquidity locks — are reported as Unknown, lower the confidence, and are never counted as safe. With too little evidence the result is “Unknown”, not a score. A risk score is not an audit and not a guarantee.
0–100 per token, from trading only: how unusual the last hour is compared with that token's own 24h average. 60% trade-count lift, 30% volume lift (both log-scaled, saturating at 8×) and 10% buy share. It is market attention, not social media.
With fewer than 20 trades in 24h, or missing buy/sell data, the token shows “—” (Insufficient Data) instead of a score. Community links come from what the project published to Intear and DexScreener and are not verified by Xhams.
No. It shows measured facts and the checks run on them. A token can lose all of its value whatever its reading.
No. The board, the checks and the wallet tracker are open. An account only adds synced watchlists and alerts; a wallet is only for linking.
Because the source did not report it, or the figure was impossible. A dash means unavailable; it never means zero.
Prices stream live. Risk readings are stored and refreshed in the background, and each one shows when it was checked.
Only rephrase. If an AI key is set, a model turns the measured facts into a paragraph and its answer is checked against the data. Without a key, or on any problem, you get the rule-based paragraph.
Not here yet. News headlines are shown as a media signal; reading X and Telegram needs sources that are not connected.