XRP Healthcare AI XRPHAI

What XRPHAI actually is on-chain

XRP Healthcare AI is not a token issued on someone else's network — it settles on the XRP Ledger, which means there is no contract address to verify and no issuer who can freeze or reissue it. Supply and transfer rules are enforced by the chain's own consensus, so the risks worth tracking are protocol risks (client bugs, hash-rate or validator concentration) rather than token-contract risks.

For XRPHAI the project publishes an active account as @xrphealthcare. That is a partial paper trail — enough to check claims against, not enough to audit. None of it is a quality judgement about the asset; it is simply what can be independently checked before the chart is worth looking at.

Where XRPHAI sits in the market

XRP Healthcare AI sits at #1677, inside the lower small-cap band. Depth here is shallow enough that one large order walks the book several percent and the print mean-reverts within the same session — which is why a single fixed price level is a fragile trigger, and a condition that tolerates one wick is the more useful construction. Listings are concentrated across a small number of venues, so volume-driven delisting is an active risk here rather than a hypothetical one.

We are not currently receiving a live XRPHAI order book from any of the exchanges connected to this site, so no real-time quote is shown above. That is itself information: it usually means the pair is unlisted on the venues we track, or trading has been halted. XRPHAI settles on the XRP Ledger, its own base layer, so any trading that does happen is on centralised venues rather than in on-chain pools.

XRPHAI against its all-time high

XRP Healthcare AI's record high is $0.0278, set on 2026-05-10. That high sits in a range where whole-cent and whole-unit levels are genuinely traded, which makes them usable as alert thresholds if a quote returns. The print is recent enough — within the last six months — that it still describes the market XRPHAI trades in today. We are not quoting a drawdown from it because no tracked venue is giving us a live XRPHAI price — a stale or single-pool number would make that percentage look precise when it is not.

XRPHAI across its historical range

The recorded range is comparatively narrow: 1.85x between $0.0150 and $0.0278. Either the price history is short, or the asset is designed not to move.

The record low of $0.0150 was printed on 2026-05-09 — within the last six months. We have no live quote to measure the current distance from it.

XRPHAI supply and valuation data

Supply figures for XRPHAI are self-reported at this rank rather than reconciled against the chain, so we publish the valuation we have and not a circulating-supply number we cannot check. What we do have is a fully diluted valuation of $16.2 million as of 2026-05-12. That is in the upper quartile of tracked assets by fully diluted value.

That valuation is a point-in-time snapshot, not a live figure, so we deliberately avoid dividing it back into a token count — the price has moved since, and the arithmetic would yield a precise-looking supply number that is simply wrong. Read the current supply from the project's own explorer before relying on any per-token valuation. The authoritative figure is the one xrpscan.com reports for this contract.

What kind of asset XRPHAI is

XRP Healthcare AI does not fall cleanly into one of the categories that carry a standard analytical framework in this market. In that situation the price history and the supply structure described above are the reliable material, and the project's own documentation is the place to establish what the token is actually for.

CoinGecko files XRPHAI under 2 categories, including Healthcare, XRP Ledger Ecosystem.

How to set a XRP Healthcare AI alert that is worth receiving

XRP Healthcare AI settles on its own the XRP Ledger base layer — high dated 2026-05-10 — rank #1677. On this profile the condition that carries signal is a volume-surge condition on the 1-hour or 4-hour candle paired with a wide price threshold.

Full alert-design method: thresholds, RSI/MACD and volume conditions →