The Complete Guide to CARF Compliance

1. What CARF Actually Is

The Crypto-Asset Reporting Framework (CARF) is the OECD’s global standard for tax transparency on crypto-asset activity. It extends the philosophy of the Common Reporting Standard (CRS) into digital assets and is designed for the automatic exchange of tax information on crypto transactions between jurisdictions.

Key facts:

Purpose: CARF is designed to identify and prevent tax evasion by giving tax authorities structured visibility into individuals and businesses transacting in crypto assets. It focuses on information reporting; it does not calculate tax due in any jurisdiction. Tax calculations, penalties, and follow-up actions remain the responsibility of each taxing authority.

 

Scope: CARF covers crypto-assets, stablecoins, and certain NFTs, while excluding CBDCs, which fall under an updated CRS framework.

 

Reporting requirements: Relevant Crypto-Asset Service Providers (RCASPs) must report gross proceeds–level information (and related data points) on in-scope transactions to their local tax authority. That authority then exchanges the information with other participating jurisdictions.

 

Effective date: Many jurisdictions are targeting January 1, 2026, which means data and reporting processes must be designed and tested well in advance. Some jurisdictions, such as Switzerland, have chosen to delay implementation. Rather than postponing their preparations, most CASPs are using this additional runway to strengthen their readiness and ensure compliance when local requirements take effect.

 

Global adoption: CARF operates as a voluntary multilateral framework. Once a jurisdiction signs the CARF Multilateral Competent Authority Agreement (MCAA), Relevant Crypto-Asset Service Providers (RCASPs) in that jurisdiction are obligated to comply with local CARF rules.

 

CARF sits alongside other tax transparency regimes. One of the most relevant is U.S. Form 1099-DA, which requires certain U.S. brokers to report digital-asset transactions, including cost basis and gross proceeds, to both taxpayers and the IRS. While CARF is global and government-to-government, 1099-DA is U.S.-specific and broker-to-taxpayer plus broker-to-IRS. They are separate rules, but they rely on the same foundations: consolidated data, accurate classification, defensible FMV pricing, and audit-ready reporting.

2. CARF in Context: The Global Reporting Landscape

CARF does not exist in isolation. It is part of a broader shift in which digital assets are expected to meet the same, if not higher, standards of transparency as traditional financial instruments.


Across jurisdictions, regulators and tax authorities are:

  • Extending existing tax-transparency concepts (like CRS and FATCA) into digital assets

     

  • Introducing domestic regimes for digital-asset reporting (such as 1099-DA in the U.S.)

     

  • Increasing expectations around data quality, valuation rigor, and auditability

For institutions, this means that CARF should be viewed as a core, structural capability requirement, not as a one-off compliance project. A CARF-ready infrastructure can also support other digital-asset reporting obligations, both current and future.


At a practical level, the institutions most affected include:

  • Crypto exchanges and marketplaces

     

  • Custodians and wallet providers

     

  • Other intermediaries that qualify as RCASPs

     

  • Financial institutions and funds with digital-asset exposure

  • Tax authorities and regulators receiving and analyzing the data

For many of these organizations, CARF surfaces a single underlying capability problem: the ability to ingest, classify, value, reconcile, and report large volumes of complex digital-asset transactions in a way that is regulator-ready and audit-defensible.

3. Why CARF Creates a New Data and Compliance Burden

CARF is far more than a new reporting schema. It fundamentally reshapes how institutions must manage digital-asset data. The framework brings long-standing data and operational challenges in crypto into sharp focus, requiring institutions to build capabilities that many do not currently have.

1. Growing Compliance Obligations

CARF requires institutions to collect, verify, and report detailed information about customer activity across all crypto-asset products and channels. This includes:

  • On-chain and off-chain movements

     

  • Activity across multiple business lines

     

  • Flows spanning multiple legal entities and jurisdictions

This reporting burden is magnified for institutions operating globally or offering a broad range of services, since CARF applies to any entity qualifying as a Relevant Crypto-Asset Service Provider (RCASP).

2. Fragmented and Inconsistent Data Sources

Digital-asset activity is distributed across a wide and fragmented ecosystem:

  • Centralized exchanges

     

  • Custodians and prime brokers

     

  • Wallet infrastructure

     

  • Layer-1 and Layer-2 networks

     

  • DeFi protocols and smart-contract platforms

     

  • OTC channels and proprietary systems

Each source produces data in its own schema, with inconsistent tickers, identifiers, timestamps, naming conventions, and levels of completeness. These differences make it extremely difficult to construct a single, reconciled customer activity record – yet CARF requires exactly that.

Generic ETL or spreadsheet-based approaches fail quickly at scale, particularly when institutions must integrate smart-contract activity and multi-venue transaction flows.

3. Evolving Regulatory Interpretation Across Jurisdictions

CARF will not be implemented identically in every jurisdiction. Local rules, timelines, and enforcement practices will differ, and interpretations will evolve as regulators gain experience with digital-asset reporting.

In parallel, domestic regimes such as U.S. Form 1099-DA introduce their own requirements, creating a layered regulatory environment. Institutions need infrastructure capable of adapting to regulatory changes without constant re-engineering.

4. Heightened Risk of Penalties and Reputational Exposure

Digital-asset reporting errors have direct consequences. Failure to report accurately can lead to:

  • Regulatory fines

     

  • Heightened scrutiny from supervisors and tax authorities

     

  • Exposure to customer complaints

     

  • Reputational damage with partners, counterparties, and investors

     

  • Costly remediation of historical data

Because CARF relies heavily on the accuracy of underlying data, even small errors in classification, valuation, or reconciliation can compound into significant reporting discrepancies.

5. Technical Challenges Inherent to Digital-Asset Data

Underlying these compliance pressures are structural characteristics of crypto markets that make regulatory reporting uniquely difficult:

Data ingestion & normalization
Multiple venues and protocols generate inconsistent formats that require continuous maintenance and transformation.

Valuation
Crypto trades 24/7 with no closing price, fragmented liquidity across venues, and frequent idiosyncratic market movements. Traditional pricing shortcuts (such as VWAP or simple averages) often fall short of the fair-value expectations needed for compliant reporting, particularly for crypto-to-crypto transactions. While CARF and other tax requirements do not necessarily require an IFRS or US GAAP valuation approach, they do require rigour and transparency. This can suggest that the longstanding guidance from accounting standards, if well applied, is an invaluable approach. 

Scalability
CARF reporting may require processing hundreds of millions of transactions and serving millions of customers – volumes that exceed the design limits of many legacy systems.

Controls and governance
Regulators expect strong operational controls, audit trails, and data lineage that match or exceed the standards used for traditional financial instruments.

Classification
Asset classification and transaction classification must be complete, accurate, and consistent. Misclassifying even a small percentage of transactions can distort gross-proceeds reporting, cost-basis calculations, and jurisdictional assignments.

Many institutions initially attempt to manage CARF reporting using existing tools or spreadsheets. In practice, these approaches rarely scale. They struggle with the complexity of smart-contract behavior, lack the governance and lineage required for audit defensibility, and cannot reliably unify data across dozens of heterogeneous sources. They also fail to account for the wide range of traits, attributes, and terms and conditions that define digital assets. Simply knowing an asset’s name is not enough; tokens with similar names may function differently, carry unique rights or restrictions, or fall into different regulatory scopes. Correct classification requires structured reference data and a deep understanding of how each asset actually behaves.

CARF ultimately exposes a foundational truth: digital-asset reporting requires purpose-built infrastructure capable of handling the unique characteristics of blockchain-based financial data.

4. The Hidden Complexity: Smart Contracts and Transaction Classification

Traditional financial messaging (for example SWIFT) encodes transaction type, instrument, and purpose in explicit, structured fields. Digital-asset ledgers are not designed that way.

In the CARF context, Lukka emphasizes several realities:

  • Blockchain records cryptographic movements, not business purpose.

  • A single smart-contract interaction may include multiple swaps, protocol fees, staking actions, and liquidity movements across several tokens.

  • Venue labels and explorer tags are often incomplete, ambiguous, or inconsistent.

Crypto is not structured like SWIFT, and the raw ledger does not state “this is a disposal”, “this is income”, or “this is a fee”.

 

Transforming this into CARF-ready data requires:

  • Smart-contract decoding that understands protocol logic and event signatures.

     

  • Transaction normalization to break down complex DeFi interactions into multiple, linked legs.

     

  • Robust transaction classification that maps each leg into a tax-relevant type: disposal, acquisition, transfer, income event, fee, or other categories.

Lukka’s platform includes advanced on-chain normalization capabilities that interpret raw blockchain activity, including swaps, staking interactions, bridges, and liquidity movements, and convert them into structured, reconciled transaction entries suitable for accounting, tax, and regulatory reporting.

  • Accounting

     

  • Tax calculations

     

  • CARF reporting

     

  • Audit and regulatory review

Under CARF, both asset classification and transaction classification are central:

  • Asset classification: Determines the type of instrument (for example, fungible token, stablecoin, derivative, RWA token, NFT subtype) and influences scope, valuation, and treatment.

  • Transaction classification: Determines whether and how a movement is reportable and which taxpayers and jurisdictions it belongs to.

Lukka addresses both dimensions using LDACS (Lukka Digital Asset Classification Standard), comprehensive reference data, and transaction normalization logic.

5. The Capabilities Institutions Need to Be CARF-Ready

Meeting CARF obligations requires more than a reporting tool. It requires an integrated stack of data, valuation, classification, and reporting capabilities.

Comprehensive data ingestion

  • Direct connectivity to exchanges, custodians, wallets, DeFi protocols, OTC venues, and internal systems.

     

  • Proven ability to ingest and normalize data from 500+ venues and data sources.

Reference data and classification

  • A security master and entity master for digital assets, with 175+ terms and conditions fields, sector and instrument classifications, and a rich dataset of actions and events.

     

  • Mapping between assets, CASPs and VASPs, entities, and blockchains to support regulatory reporting and risk analysis.

Smart-contract and transaction normalization

  • Procedures and technology dedicated to interpreting smart contracts and protocol behavior.

     

  • Conversion of raw ledger events into structured, reconciled transaction records that can be used consistently across accounting, tax, and CARF teams.

Fair Market Value (FMV) pricing for tax and reporting

  • FMV aligned with US GAAP (ASC 820) and IFRS 13 principles.

     

  • Methodology designed to handle crypto-to-crypto transactions, where both legs must be priced correctly at transaction time.

     

  • Pricing and valuation capabilities that extend beyond Lukka Prime to support derivatives, RWAs, long-tail assets, and specialized institutional use cases.

     

  • Tried and tested methodology driven by standards that have decades of proven effectiveness; even if not specifically required by a given tax authority, it typically meets local guidance.

High-scale, audit-ready infrastructure

  • SOC 1 Type II and SOC 2 Type II reports.

     

  • NIST-aligned cybersecurity assessments and documented controls.

     

  • Adherence to IOSCO benchmark principles where relevant.

Regime-specific reporting engines

  • CARF-specific schemas and logic for in-scope jurisdictions.

     

  • Configurable data transformations and validations for other local digital-asset regimes, where required.

     

  • Infrastructure capable of producing regulator-ready outputs with full audit lineage.

Dashboards for ongoing review and reconciliation

  • Tools that enable tax, finance, and compliance teams to identify, review, and resolve issues throughout the year.

     

  • Ability to track exceptions, reconcile across systems, and ensure that CARF outputs remain aligned with internal records.

Lukka’s platform is designed to deliver this complete capability set.

6. How Lukka Delivers End-to-End CARF Compliance

Lukka’s role in CARF can be summarized as transforming fragmented, technical crypto activity into standardized, audit-ready, regulator-aligned data and reports.

 

6.1 Data Aggregation and Normalization
Lukka Enterprise Software / EDM (Enterprise Data Management) provides the core aggregation and normalization layer:

  • Ingests data from 500+ venues, including centralized exchanges, custodians, DeFi protocols, and internal systems.

  • Standardizes tickers, asset IDs, and formats using Lukka Reference Data.

  • Resolves inconsistencies and duplicates into a single, reconciled record per transaction.

For CARF, where a single customer may transact across many venues and chains, this consolidated transaction history is essential.

6.2 Asset and Transaction Classification

Lukka Reference Data and LDACS add the asset-side intelligence:

  • Coverage of 1.5M+ assets, 130+ sector classifications, and 175+ terms and conditions fields.

  • A five-tier hierarchical taxonomy across cryptocurrencies, stablecoins, NFTs, RWAs, and other categories.

  • Crypto Actions data tracking 45+ event types – listings, delistings, rebrands, forks, redenominations, and more.

On the transaction side, Lukka’s normalization and classification engines:

  • Convert raw events (swaps, mints, burns, liquidity additions, staking rewards, bridge movements) into structured transaction types.

     

  • Map each leg to disposal, acquisition, income, fee, or transfer categories relevant for CARF.

     

  • Maintain a full audit trail showing how each raw event was interpreted and categorized.

Lukka supports both asset classification and transaction classification, which are necessary across all CARF reporting workflows.

6.3 Fair Market Value Pricing and Crypto-to-Crypto Valuation

Lukka Prime is Lukka’s Fair Market Value (FMV) pricing engine for tax, audit, and financial reporting. It is the only FMV methodology in the market designed specifically to meet the requirements of US GAAP (ASC 820) and IFRS 13 for digital assets.


Its framework is rooted in the fair-value hierarchy and incorporates the same principles auditors apply to traditional assets, but adapted to the unique structure of crypto markets.

 

Lukka Prime:

  • Aligns directly with US GAAP (ASC 820), IFRS 13, and related fair-value guidance, including exit-price principles and market-participant assumptions.

     

  • Determines the principal market per asset using a transparent, criteria-driven approach that evaluates oversight, price formation quality, microstructure efficiency, transparency, data integrity, volume, and trade freshness.

  • Produces unadjusted exit prices based on executed trades from vetted, regulator-recognized exchanges – not indicative quotes, VWAPs, or aggregated averages.

Lukka Prime is also the only transparent, audit-defensible crypto-to-crypto pricing methodology aligned with these fair-value principles. This is especially critical for CARF, where a significant portion of in-scope transactions involve crypto-to-crypto disposals that require valuation of both legs at precise timestamps.

 

Beyond Lukka Prime, Lukka provides:

  • Normalized and consolidated market data across spot, derivatives, RWAs, and long-tail assets

     

  • Additional pricing methodologies such as VWAP for analytics or internal management use cases (separate from FMV)

  • Valuation services for complex instruments including options, futures, perpetuals, structured products, and tokenized assets

Together, these capabilities create the FMV valuation layer that CARF reporting depends on, and that institutions, auditors, and regulators increasingly expect as the baseline for digital-asset financial accuracy.

6.4 Tax and Compliance Reporting Automation

Lukka Crypto Tax & Compliance acts as the reporting engine:

  • Automates CARF reporting at institutional scale.

  • Generates regime-compliant reports aligned to CARF schemas and local requirements.

  • Streamlines data validation and reconciliation, linking each reported record back to its underlying transactions and pricing.

While not required under CARF, Lukka also provides additional tax capabilities that are valuable for taxpayers, auditors, and tax authorities, and are especially relevant for regimes such as 1099-DA:

  • Accurate cost-basis tracking across lots, holding periods, and realized/unrealized gains

     

  • Support for standard tax methods including FIFO, LIFO, and Specific ID across exchanges, wallets, and chains

The result is a pipeline from raw activity to complete, defensible CARF outputs, ready for regulators, auditors, and internal control teams.

6.5 Dashboards, Review, and Ongoing Reconciliation

Lukka’s platform is built to support continuous CARF readiness, rather than a once-per-year rush.

  • Lukka Insights provides dashboards and analytics for real-time monitoring of assets, venues, counterparties, and risk across more than 1 million crypto assets and tens of thousands of VASPs.

  • CARF-related datasets can be surfaced through review dashboards so tax and finance teams can validate classifications, investigate anomalies, and reconcile variances during the year, not after the fact.

Lukka’s guidance stresses that leaving all CARF data review and reconciliation to the end of each reporting year leads to large, avoidable remediation projects. The dashboards and workflows are designed to avoid that outcome.

At the same time, Lukka’s infrastructure and services can support institutions that have delayed preparation and need to conduct high-intensity, year-end clean-up and reconciliation across large backlogs of transactions. Both proactive and reactive operating models are supported.

6.6 Risk, VASP Intelligence, and Compliance Monitoring

CARF is connected to broader compliance functions, including AML, sanctions, and counterparty risk. Lukka’s datasets and analytics support these needs through:

  • A VASP dataset covering 17,000+ VASPs, including legal-entity information, regulatory licenses, jurisdictions, and risk signals.

     

  • VASP risk scoring and KYB profiles that support onboarding decisions, limits, and ongoing monitoring.

     

  • Blockchain analytics that enhance the ability to monitor risky activity, sanctions exposure, and suspicious transaction patterns.

This unified perspective helps institutions integrate CARF into their existing compliance and risk frameworks, rather than running CARF as a standalone process.

7. Practical CARF Use Cases by Segment

The same core Lukka capabilities are applied differently across segments.

7.1 Crypto Exchanges and Marketplaces (RCASPs)

Exchanges and marketplaces in CARF jurisdictions need to:

  • Ingest and normalize all customer trading, funding, withdrawal, and on-chain activity.

     

  • Classify each movement across spot, margin, derivatives, and DeFi access channels.

     

  • Compute FMV for all flows, particularly crypto-to-crypto.

     

  • Generate CARF reporting files and provide supporting evidence to tax authorities and auditors.

     

  • Deliver accurate, regulator-aligned tax information to customers where required.

Lukka’s EDM, Reference Data, Prime, tax engine, and reporting layer cover the full workflow from source data to report-ready outputs.

7.2 Custodians and Wallet Providers

Custodians and wallet providers must:

  • Maintain a complete, accurate record of custodial holdings and asset movements.

     

  • Use asset and VASP reference data for token listing decisions, risk management, and jurisdictional checks.

     

  • Provide CARF-ready exports and reports for in-scope customers and tax authorities.

Lukka provides the security master, mapping, valuation, and reporting layers that embed CARF readiness into custody platforms.

7.3 Banks, Brokers, and Fintechs Offering Retail Crypto

Banks and brokers that embed crypto trading or savings products require:

  • Plug-and-play APIs for pricing, reference data, tax lots, and CARF reporting.

     

  • Infrastructure that meets enterprise control standards, including SOC-attested controls and NIST-aligned security practices.

Lukka enables these institutions to offer digital-asset products with regulatory-grade data and reporting from the outset.

7.4 Funds, Asset Managers, and ETFs

Funds and ETF issuers face both fund-level reporting and investor-level tax transparency needs:

  • NAV, valuation, and benchmark services built on FMV pricing.

     

  • CARF reporting flows for investors in participating jurisdictions.

     

  • Audit-ready documentation that supports external audit, fund boards, and regulators.

Lukka’s valuation and data products provide the foundation for both NAV and regulatory reporting.

7.5 Public Sector and Tax Authorities

Tax authorities and regulators use Lukka’s data and analytics to:

  • Understand who is behind wallets and transactions, by linking to VASPs and entities.

     

  • Analyze cross-border flows and patterns of activity.

     

  • Identify gaps between observed blockchain behavior and reported information.

This improves the utility of CARF data once it has been exchanged between jurisdictions.

8. Operating Model: Why CARF Can’t Be Left to Year-End

CARF reporting is most effective when treated as an ongoing operational process, not a once-a-year exercise. Institutions that wait until year-end often face a surge of unresolved exceptions, missing data, misclassified activity, and reconciliation gaps that are far more costly and time-consuming to resolve under deadline pressure.

With platforms built for continuous ingestion, normalization, and review, institutions can:

  • Reconcile source systems against CARF datasets monthly or quarterly, rather than all at once

  • Correct classification and data-quality issues as they arise, while volumes are manageable

  • Surface missing or incomplete data well ahead of reporting deadlines

  • Prepare for regulatory inquiries and audits with line-by-line data lineage and supporting evidence

For teams that ultimately defer CARF work until year-end, the operational burden becomes significantly higher: large transaction backlogs, compressed timelines, and an increased risk of reporting errors. Modern digital-asset data infrastructure supports both models, continuous review for institutions aiming to stay ahead of requirements, and high-intensity remediation for those who need to stabilize historical data quickly, but the lowest-risk, lowest-cost approach is integrating CARF readiness into everyday workflows.

9. CARF Readiness Checklist – With Lukka’s Solution for Each Step

1. Identify in-scope entities, products, and jurisdictions

Lukka helps institutions anchor this assessment with clear visibility into digital-asset products, venues, and counterparties through its reference data, VASP intelligence, and enterprise data model, so teams know exactly which businesses, books, and flows fall under CARF.

2. Map all relevant data sources

(Exchanges, custodians, wallets, DeFi, OTC, internal ledgers.)

Lukka solution: Lukka EDM / Enterprise Software is built to ingest data from 500+ venues and systems. It becomes the central hub for all digital-asset sources, ensuring nothing in scope for CARF sits outside the controlled data pipeline.

3. Implement robust data ingestion and normalization

Lukka solution: Lukka EDM standardizes schemas, tickers, formats, and identifiers, resolving duplicates and inconsistencies into a single, reconciled record per transaction. Lukka Reference Data underpins this step with a consistent asset and entity backbone.

4. Establish asset classification aligned with CARF scope and local rules

Lukka solution: Lukka Reference Data + LDACS provide a security master and a five-tier asset taxonomy, covering 1.5M+ assets, 130+ sectors, and 175+ terms and conditions fields. This supports clear in-scope / out-of-scope determinations and consistent asset treatment across CARF reporting.

5. Establish transaction classification across all business lines

Lukka solution: Lukka’s transaction normalization and classification engines convert raw events (including DeFi and smart-contract activity) into standardized transaction types; disposals, acquisitions, income, fees, transfers, with full audit trails, so CARF event categorization is consistent and defensible.

6. Implement FMV pricing and valuation for all in-scope assets, including crypto-to-crypto

Lukka solution: Lukka Prime provides Fair Market Value pricing aligned with US GAAP (ASC 820) and IFRS 13 principles, including transparent crypto-to-crypto valuation. Broader pricing & valuation services cover derivatives, RWAs, long-tail assets, and custom institutional use cases, forming the FMV layer CARF depends on.

7. Configure CARF report generation, including validation and error handling

Lukka solution: Lukka Crypto Tax & Compliance generates CARF-compliant reports, applies regime-specific schemas and rules, validates inputs, and links each reported line back to underlying transactions and prices, creating an end-to-end, audit-ready reporting pipeline.

8. Deploy dashboards and workflows for in-period review and reconciliation

Lukka solution: Lukka Insights surfaces CARF-related datasets in dashboards that tax, finance, and compliance teams use to review classifications, investigate anomalies, reconcile across systems, and monitor data quality throughout the year – reducing or eliminating the year-end crunch.

9. Align controls, documentation, and governance to audit and regulatory expectations 

(SOC, NIST, IOSCO, internal policies).

Lukka solution: Lukka operates with SOC 1 & SOC 2–attested controls, NIST-aligned security frameworks, and IOSCO benchmark adherence where applicable, giving institutions the control environment and documentation they need to satisfy internal audit, external auditors, and regulators.

10. Plan capacity for year-end reporting and periodic regulatory review cycles

Lukka solution: Lukka’s scalable infrastructure and managed services support high-volume reporting, backlogs, and remediation projects. Institutions can run CARF as a continuous process and still rely on Lukka to handle peak workloads and regulatory reviews when volumes and scrutiny are highest.

10. Summary: CARF as an Infrastructure Upgrade with Lukka

CARF is reshaping how institutions handle digital-asset data, valuation, and reporting. It requires:

  • Standardized, trusted data across exchanges, custodians, and blockchains

     

  • Accurate FMV pricing, especially for crypto-to-crypto transactions

     

  • Consistent asset and transaction classification across the full ecosystem

     

  • Scalable, audit-ready infrastructure that satisfies tax, regulatory, and internal control requirements

Lukka already provides these capabilities at institutional scale:

  • Trust through SOC-audited controls, NIST-aligned security, and transparent FMV methodologies.

     

  • Truth through normalized, reconciled data and classification standards backed by deep reference datasets.

  • Transparency through dashboards, lineage, and reporting built for audit and regulatory scrutiny.

With Lukka, CARF becomes more than a compliance obligation. It becomes a catalyst for modernizing digital-asset infrastructure, reducing operational risk, and demonstrating regulatory maturity to customers, partners, regulators, and supervisors.

Contact us to learn more: https://lukka.tech/contact-us/

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This content is provided for informational purposes only and in no event shall be construed as the rendering of professional advice or services. As such, the information provided in this content should not be used as a substitute for consultation with professional advisors. By reading this content, you expressly agree that any opinions, valuations, quotes, statistical, quantitative and other information contained in this content is, and will be construed solely as, statements of opinion and not statements of fact. No representations or warranties, express or implied are given in, or in respect of, this content. All information in this content is provided “AS IS,” with no guarantee of completeness, accuracy, and timeliness or of the results obtained from the use of this information. To the fullest extent permitted by law, in no circumstances will Lukka, any of its related entities, or the owners, agents, officers, directors or employees thereof be responsible or liable to you or anyone else for any decision made or action taken in reliance on the information contained in this content.

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