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Detect Blockchain from Hash or Address

Stop guessing whether a string belongs to Ethereum, Solana, Bitcoin or another network. Use FoxChain to detect blockchain from hash or address, performing format‑aware detection and routing you to the right explorer view automatically.

What kinds of inputs are supported?

Transaction hashes

Hex‑encoded 32‑byte values for EVM chains, base58 strings for Solana, and double‑SHA256 hex for Bitcoin are all recognized. The detector validates expected length, allowed characters and optional prefixes.

Addresses & contracts

Checksummed Ethereum addresses, base58 Solana accounts, Bech32 formats, and legacy Bitcoin addresses are identified reliably. Where applicable, checksum rules are verified to avoid typos.

Blocks & heights

Block numbers and unique block identifiers are recognized per network. If the value could match multiple chains, FoxChain provides a short list with probabilities and one‑click navigation.

Real‑world use cases

Technical overview (no code required)

Detection combines fast heuristics with conservative validation. First, the input is classified by length and character set (hex, base58, Bech32, decimal). Then checksum rules—EIP‑55 for EVM addresses, base58 check for Bitcoin where applicable—are applied. Ambiguities are ranked using likelihood models that consider current chain parameters (e.g., typical block height range). The result is a confident guess with a clear explanation.

Once a chain is selected, FoxChain does a lightweight confirmation call to verify existence without downloading heavy payloads. If confirmation fails, the UI falls back to the disambiguation view so you can pick another candidate or adjust the input. All of this happens behind a simple, fast interface.

Privacy is important. The detector is designed to minimize unnecessary network calls and avoids client‑side analytics/tracking entirely. The site is statically generated; pages are HTML/CSS with a few small inline scripts for UI and metrics.

Productivity and UX benefits

Explorers are decision tools as much as they are data viewers. Every extra click increases the chance of error. With detection built in, you reduce tab hopping, learn one consistent layout, and keep focus on the investigation rather than the interface. Clear typography and a dark theme tuned for contrast make long sessions more comfortable.