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전체 자산Every research file, largest first섹터What each category holds and weighs순위Fourteen leaderboards and what they miss히트맵The market sized by value, shaded by change글로벌 시장Total capitalization, dominance and volume
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스크리너Filter by fundamentals, supply and risk자산 비교Research files side by side저장됨The assets you have starred
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상장지수상품Every US-listed fund, with a page each기업 재무 보유분Listed companies holding digital assets
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Analysis
리서치 노트Short notes written from stored figures이벤트 캘린더Upgrades, halvings and policy dates
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리스크 프레임워크Fifty factors in seven families보안 사고Exploits and failures, with the losses
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Learn libraryEleven tracks, from first principles용어집Every term in plain English계산기Fee drag, dilution and conversion
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시장이 처음이라면 — 가격, 수익률, market cap? 브라우징하면서 모든 용어를 평이한 영어로 설명합니다. 동일한 데이터에 도움말이 내장된 방식입니다.

전문가 견해

시장은 이미 알고 있다고 가정합니다. 데이터만 — 깔끔하고 빠르며 간결하게, 별도의 설명 없이 제공합니다. 기본 보기입니다.

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라이트 또는 다크
언어
사진 사진Still lifeCryptoStudio
공개 API

이 사이트의 모든 수치는 해당 기간 및 출처와 함께 JSON 형식으로 제공됩니다.

API 문서 읽기
Technical 위험 Layer 2BridgesLayer 1

Data Availability Failure

The transaction data needed to reconstruct or challenge a chain's state is not published, so users cannot prove what they own or exit on their own.

작동 방식

A validity proof shows that a state transition was computed correctly, but it does not show that anyone else can see the data behind it. If an operator publishes proofs while withholding the underlying transactions, users cannot rebuild their balances, cannot construct a withdrawal, and in optimistic designs cannot construct a fraud proof at all. Systems differ in where they put the data: on the settlement chain as calldata or in blobs that are pruned after a retention window, on a separate data-availability network with its own validator set and sampling scheme, or with a permissioned committee that merely attests that data exists. Each choice moves the trust assumption somewhere, and the weakest link decides whether an exit is possible without the operator's cooperation.

실제로 관찰 가능한 항목

Establish where data is posted, what the retention window is, and who is expected to archive it after that window closes. For committee-based designs, look at the number of members, the signing threshold, and whether members are independent entities. Where sampling is used, check whether light clients actually perform it in production or only in specification, and look for any documented drill in which a third party reconstructed state from published data alone.

선례

Plasma designs were largely set aside in favor of rollups because users could not be assured of obtaining the data required to exit if an operator withheld it.

수치의 중요성에 영향을 미치는 요인

Relevant conditions are whether data goes to the settlement layer or elsewhere, the retention period, the size and independence of any committee, and whether an exit is possible using only public data.

01

관련 요소

Consensus Bug and Chain Split Technical A defect in the consensus rules or in their implementation makes nodes disagree about valid history, halting…
Sequencer Failure and Forced Exit Technical A rollup relies on one operator to order transactions, so if that operator stops or censors, users need a…
State Growth and Node Cost Drift Technical The data a full node must store and process grows over time, so fewer people can run one and verification…
Admin Keys and Multisig Control Governance A small set of keys can pause, upgrade, mint, or move assets, so the system's safety depends on those…
02

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이 팩터가 적용되는 카테고리에서 규모가 가장 큰 자산들. 여기에 포함된다는 것은 해당 팩터가 그 유형의 자산에 관련된다는 의미이며, 실제로 발생했다는 의미가 아니다.

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자산

전체 자산섹터순위히트맵스크리너비교저장됨

기본 지표

Fees & revenue잠긴 가치Exchange volume네트워크 활동StablecoinsStaking & yield

Valuation & risk

밸류에이션 비율Supply & issuance지표 정의리스크 프레임워크보안 사고

기관

상장지수상품기업 재무 보유분Events리서치 노트뉴스

학습

Learn library용어집계산기데이터에 묻기AI agents공개 API

소개

소개문의방법론데이터 출처편집 정책데이터 최신성

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