Lagrange (LA)

Overview

Lagrange (LA) market snapshot: Price $0.062731, market capitalization $12.11M, and reported 24-hour volume $3.90M.

Trading activity: Reported 24-hour volume equals 32.22% of market capitalization. The local markets snapshot lists Upbit, Binance and Bithumb among venues with observed trading activity.

YearBull indicators: YearBull Rank #2,995. Bull Score 40/100. YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment. Cycle Early. Observed price change: 24h -9.05% · 7d -10.62% · 30d -10.86%.

Values are descriptive and should be read together rather than as a price forecast. Read the YearBull methodology. Snapshot date: 2026-10-07. Data history: 90 days available in the latest 90-day window.

Methodology responsibility: YearBull’s analytical methodology and presentation rules are developed and maintained by Alan Zelvin, Founder & Lead Crypto Researcher. This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.

What is Lagrange (LA)?

YearBull Project Summary: Lagrange (LA) is tracked by YearBull under the source identifier lagrange. Source categories place the asset in the AI Cryptocurrencies universe, with additional labels including Artificial Intelligence (AI), BNB Chain Ecosystem, Ethereum Ecosystem. Category labels describe market context; they do not prove project activity, adoption, or investment quality.

Source description

“Today, Lagrange has expanded its ZK Prover Network to power proof generation for ZK rollups, adding onto Lagrange’s existing ZK Coprocessor and State Committee offerings. With this new addition, Lagrange now unlocks proofs for anything – for rollups, apps, coprocessors and interoperability – as an infinite proving layer that enables anyone to prove everything at internet scale. Previously, Lagrange launched the first production-ready ZK prover network in the industry, operated by top operators including Coinbase, Kraken, OKX and more. Now, Lagrange’s ZK Prover Network is expanding to address key challenges faced by rollups and advance ZK adoption and utility. The ZK Coprocessor can generate a proof of correct computation over arbitrary storage slots for arbitrary block ranges. For example, consider an application that wishes to compute the average on Ethereum for ETH / USDC pricing. A developer must first specify the memory slots and block range (~50,400) that they are interested in including in the data set. Next the developer writes the computations that is to be executed across the storage slots over the different blocks in parallel. Once the proof is generated, it will prove both the storage inclusion and the aggregated computation as valid with respect to a block header derived from smart contract information.”

This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.

Lagrange (LA) project facts

Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.

Lagrange metric comparison

This comparison is a stored snapshot generated 2026-10-06 06:30 UTC from 276 daily observations available from 2025-12-30 through 2026-10-06. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.

MetricSnapshot30d before90d beforeChange vs 30dUniverse percentile
Price$0.0684$0.0691$0.0599-1.0%n/a
Market cap$13.20M$13.32M$11.56M-0.9%P87.3
YearBull Rank#1,716#53#2,790Lower by 1,663P80.9
Bull Score42/10067/10032/100-25.0 ptsP34.5
Turnover42.01%71.39%47.56%-29.4 ptsP94.2
YB Market RiskLowLowLowUnchangedn/a
CycleEarlyEarlyEarlyUnchangedn/a

Median absolute daily movement 3.08%; distance from the highest local daily price -79.9%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.

Editorial research. Identity, project facts, sources, and risks below belong to the dated editorial review. The live analytical snapshot above may be newer and is generated separately from stored market data.

Lagrange (LA) research overview

Lagrange (LA) is tracked by YearBull under the source identifier lagrange. Source categories place the asset in the AI Cryptocurrencies universe, with additional labels including Artificial Intelligence (AI), BNB Chain Ecosystem, Ethereum Ecosystem. Category labels describe market context; they do not prove project activity, adoption, or investment quality.

Market structure and supply

Observed market capitalization is about $12.08 million and reported 24 hour volume is about $6.44 million. That volume equals 53.27% of market capitalization in the dated snapshot. Current circulating supply is 193,000,000. Recorded total supply is 1,000,000,000. Circulating supply changed 0.0% across the available historical window. Reported volume and supply fields can change through source revisions, issuance, burns, migrations, or venue coverage.

Key risks and limits

Liquidity depth, holder concentration, contract or network controls, token issuance, venue availability, governance, and operational dependencies remain material. Historical metrics describe the available YearBull record; they do not predict future returns. Contract addresses, network support, custody, and venue availability should be verified before use.

Primary sources and review scope

YearBull methodology | Official project website | Technical documentation or whitepaper | Source repository. Identity, categories, supply, and historical market fields were reviewed from locally stored source records on 2026-09-12. The live analytical snapshot may be newer than this editorial review.

Lagrange (LA): A ZK Infrastructure Network for Rollups and On-Chain Computation

Lagrange describes its network as a proving layer for rollups, applications, coprocessors, and interoperability. Its named components focus on generating verifiable proofs from blockchain storage and computation, while important details about the LA token and network operation remain unspecified here.

Lagrange’s stated role in zero-knowledge infrastructure

Lagrange is presented as a zero-knowledge infrastructure project built around proof generation. Its current offering combines three named components: a ZK Prover Network, a ZK Coprocessor, and State Committee services. The project describes these components as supporting proof generation for rollups, applications, coprocessors, and interoperability rather than limiting the network to one blockchain application.

The project describes the expanded ZK Prover Network as an infrastructure layer intended to handle proving at internet scale. That language is a project claim, not an independently established performance result. project materials does not specify throughput, supported proof systems, pricing, service-level targets, or the technical conditions under which the network can serve different workloads.

How the ZK Prover Network is positioned for rollups

The latest described expansion adds proof generation for ZK rollups to Lagrange’s existing coprocessor and State Committee offerings. In practical terms, the network is intended to provide computational proving infrastructure that rollup developers can use when producing validity evidence for their systems. The description does not identify particular rollups, deployment dates, integration terms, or production workloads using this expanded capability.

Lagrange also states that its earlier ZK prover network was production-ready and operated by major operators including Coinbase, Kraken, and OKX. This should be read as an attributed project statement. public materials does not establish the scope of each operator’s participation, the current operator set, uptime, geographic distribution, or whether those relationships cover the newly described rollup-focused expansion.

The ZK Coprocessor’s storage-and-computation workflow

The ZK Coprocessor is described as generating a proof that a computation was performed correctly over selected blockchain storage slots across a chosen block range. A developer first identifies the relevant memory locations and blocks, then defines the computation to run over that data. The resulting proof is intended to establish both that the underlying storage was included and that the aggregate calculation was valid against a block header derived from smart-contract information.

The project’s example uses an average for ETH/USDC pricing on Ethereum across roughly 50,400 blocks. In that example, the data-selection step identifies the storage slots and block interval, while the computation step processes those values in parallel. This illustrates the intended division between retrieving historical on-chain state and proving a result derived from it; it does not by itself confirm the accuracy of any particular pricing source or application output.

Where developers and blockchain ecosystems fit

The described users are developers building rollups, applications, coprocessors, or interoperability systems that need verifiable results from blockchain data. The example points to applications that want to calculate across historical Ethereum storage without asking each participant to trust an unproved off-chain result. Lagrange’s stated aim is to make these proofs available as reusable infrastructure rather than requiring every application to build a complete proving network independently.

The project is categorized within both the Ethereum and BNB Chain ecosystems, and its recorded networks are Ethereum and BNB Smart Chain. Those classifications establish the ecosystems associated with the project’s page, but the description does not explain which components are live on each network, how cross-chain activity is handled, or whether the same proving architecture and available features apply across both environments.

What is and is not established about LA

The available project material names LA as Lagrange’s token but does not explain its function. It provides no supported details about whether LA is used for fees, staking, operator incentives, governance, access, collateral, or another mechanism. It also does not state the token’s supply structure, emissions, unlock schedule, allocation, or relationship to proving requests. Those omissions matter because the economic role of a token can be separate from the technical purpose of an infrastructure network.

The record also does not provide a genesis date, named founding team, audit information, legal structure, roadmap, adoption figures, or independent measurements of proof performance. Lagrange has official resource categories recorded for a homepage, whitepaper, blockchain site, chat channel, and code repositories, but the material available here does not supply the contents needed to assess those areas. Readers therefore have a clearer view of the proposed mechanism than of its operating model or token economics.

Key takeaways

  • Lagrange describes a ZK infrastructure network serving rollups, applications, coprocessors, and interoperability workloads.
  • Its ZK Coprocessor is intended to prove both selected blockchain storage and computations performed across that data.
  • The project’s example uses an Ethereum block range of about 50,400 blocks to calculate an ETH/USDC average.
  • The ZK Prover Network’s operator participation and production status are presented as project claims whose scope is not detailed here.
  • LA’s utility, token economics, and relationship to proving services are not specified in public materials.
  • Historical observations show an Early cycle classification and substantial variation, but they do not validate technical adoption.

Risks and unresolved questions

  • public materials does not specify LA’s utility, supply, emissions, unlocks, staking model, or fee relationship.
  • Proof performance, throughput, latency, cost, supported proving systems, and service reliability are not provided.
  • The scope and current status of stated operator participation, including Coinbase, Kraken, and OKX, are not independently detailed.
  • It is unclear which Lagrange components are deployed on Ethereum versus BNB Smart Chain and how cross-chain operation works.
  • No adoption figures, named rollup integrations, audit results, or independent production measurements are provided.
  • The coprocessor example does not establish the quality of the underlying data source or the correctness of a particular application’s economic output.

YearBull Rank context

Current YearBull Rank for lagrange: #2995.

Rank timeline (last 365 days)

Rank change (nearest points).

Reading rule: lower numbers mean higher placement.

  • 7d window (2026-09-30): #1055 → #2995 (down by 1940).
  • 30d window (2026-09-07): #205 → #2995 (down by 2790).

YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Lower values mean higher placement in the YearBull ordering.

Execution context: If rank holds gains, the footprint is likely supporting the move.

Risk view: If the last month is chaotic, widen the lookback before concluding.

Rotation context: Compare the 30d move with the 7d move to see if momentum is accelerating or fading.

Turnover context: If the line flatlines, the coin may be moving with its liquidity peers.

Editorial note: This analysis was prepared by the YearBull research team under the direction of Alan Zelvin, Founder and Lead Crypto Researcher. The assessment follows YearBull’s internal research methodology and editorial standards. Methodology · Editorial Policy
Research context

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Lagrange (LA) Markets

Stored venue snapshot. Markets last checked: 2026-09-23. Next refresh window: around 2026-12-22. Venue listings and volumes are stored snapshots, not live quotes.
Exchange Top Pair Stored 24h volume (snapshot) Trust Rank
Upbit LA/KRW $3.14M #39
Binance LA/USDT $788.16K #2
Bithumb LA/KRW $544.98K #71
Bybit LA/USDT $404.59K #15
Bitget LA/USDT $271.84K #6
Hotcoin LA/USDT $234.60K #70
WhiteBIT LA/USDT $201.10K #16
LBank LA/USDT $200.38K #19
XT.COM LA/USDT $196.99K #64
OrangeX LA/USDT $180.84K #113

Listings are ordered by reported snapshot volume. Trust Rank is an external venue-quality indicator; it is not an endorsement or a solvency guarantee.