Amberdata

Amberdata is a digital-asset data and analytics provider covering centralized markets, blockchain activity, decentralized finance, wallets, derivatives, reference data, and institutional research^[1][2]. Its services are designed for financial and public-sector users that require normalized real-time or historical crypto information across trading, risk, accounting, and compliance workflows^[1].

The company website reports that Kaiko acquired Amberdata in June 2026^[1][4]. Amberdata's legal existence and external financing history are independently supported by United States Securities and Exchange Commission search results, which identify Amberdata Inc. as a Delaware-incorporated issuer with Form D filings in 2017, 2021, and 2022^[3].

What It Does

Amberdata collects and organizes several distinct forms of digital-asset information. Its official descriptions include exchange market data, decoded blockchain records, decentralized-finance protocol activity, wallet intelligence, derivatives and liquidity analytics, reference rates, asset classifications, and research^[1].

The provider maps these materials to front-office trading and research, middle-office risk and treasury, and back-office tax, accounting, and compliance functions^[1]. Market and blockchain records are factual inputs, while derived metrics, classifications, benchmarks, forecasts, and research involve additional methodology. Users should not assume that all Amberdata fields share the same source, latency, revision policy, or validation process.

Data and Methodology

The company says that it decodes and normalizes real-time and historical information from centralized and decentralized venues and blockchain networks^[1]. Its documentation describes a unified view spanning on-chain metrics, DeFi protocol flows, order books, and derivatives analytics^[2].

Amberdata publishes coverage and data-dictionary documentation, but methodology must be evaluated at endpoint level^[2]. Exchange trades and order books depend on venue connectivity; on-chain outputs depend on supported networks, node and decoding practices, contract interpretation, and chain reorganizations; and derivative analytics depend on transformations applied to source observations. The homepage's counts of venues, pairs, history, and API uptime are company-reported rather than independent audits^[1].

Products

Product areas named on the official site include Enterprise Data, Analytics and Predictive Insights, Market Intelligence, Amberdata Derivatives, Liquidity Analytics, Reference Rates and Benchmarks, Research, Risk and Portfolio Management, Tax and Regulatory Compliance Management, and Asset Reference and Classification^[1]. The latter is presented as a security-master and classification resource intended to align records across operational functions^[1].

The documentation supports HTTP APIs for current and historical queries, WebSocket streams for live updates, and CloudSync for larger historical datasets. It also describes delivery through Parquet files in object storage and SQL-oriented datasets in platforms such as Snowflake^[2]. Availability may depend on the contracted product and should not be inferred from the existence of public documentation alone.

Buyers and Use Cases

Amberdata identifies traders, asset and wealth managers, investment banks, corporate treasuries, fintech companies, venture investors, regulators, and central banks as intended users^[1][2]. Applications include strategy research and backtesting, portfolio and liquidity analysis, derivatives risk, market monitoring, product development, transaction accounting, and regulatory reporting^[1].

Customer logos and quotations on Amberdata's site are vendor-selected evidence rather than independent performance tests^[1]. A buyer assessing the data for trading or valuation should test venue coverage, timestamp semantics, corrections, survivorship handling, symbol mapping, outages, and the treatment of forks or reorganizations against its own requirements.

Delivery and Pricing

Developers can consult public API and data documentation, while institutional users are directed to request a demonstration^[1][2]. The company also advertises a no-credit-card entry point for a derivatives dashboard^[1]. These public entry points do not demonstrate that bulk data, all endpoints, or production usage are free.

The reviewed sources do not establish a single public institutional price schedule, redistribution license, request allowance, or service-level commitment for every delivery channel. Contract terms and product-specific coverage therefore remain necessary inputs to procurement.

History and Ownership

SEC search results associate Amberdata Inc. with CIK 0001715715 and show Form D filings dated October 2017, September 2021, and May 2022^[3]. These regulatory records corroborate private securities offerings but are not used here to infer financing amounts beyond what a filing itself may contain.

Amberdata and Kaiko announced that Kaiko acquired the company in June 2026^[1][4]. The announcement describes a combined digital-asset data, index, analytics, and infrastructure business. Because it is issued by the transaction parties, its claims about market position and scale should be treated as corporate statements rather than independent rankings.