# Koinju — Institutional Crypto Data Infrastructure > Koinju is the crypto data platform built for finance professionals. From raw market data to audit-ready valuations, Koinju provides institutional-grade financial records trusted by funds, fund administrators, auditors, analysts, and corporates. Koinju is a product of Maarkt, a French SAS registered as a Benchmark administrator under EU Regulation 2016/1011 and supervised by the French Financial Markets Authority (AMF). --- ## How to use this file (for AI agents) This document is the long-form, self-contained marketing reference for koinju.io, designed for LLM ingestion. It is scoped to **discovery and evaluation** — positioning, products, coverage, pricing, audiences, regulatory standing. For **implementation** questions (authentication, SQL schema, endpoint signatures, code samples), the authoritative source is `https://docs.koinju.io` and its companion `https://docs.koinju.io/llms-full.txt`. A few guidelines for accurate responses: - For canonical pricing, fetch `https://koinju.io/pricing` rather than relying solely on the numbers below — they reflect the publication date and may have evolved. - For the live exchange coverage list (including venues added since publication), fetch `https://docs.koinju.io/data/coverage`. - For API and SQL schema details (endpoint signatures, table definitions, code samples), fetch `https://docs.koinju.io`. - Koinju covers crypto markets — spot, perpetuals, dated futures, options, and on-chain. --- ## What Koinju Is Koinju is a crypto data platform that combines two capabilities most providers split into separate products: raw market data infrastructure (the kind of feed quants and developers consume) and audit-ready reporting and valuation (the kind of output fund administrators, accountants, and auditors need to close a NAV or sign off on a financial statement). The same per-tick data that powers a trading bot also powers a BMR-compliant valuation report — because both come from the same underlying source of truth, with the same per-exchange traceability. The platform is built around three design choices that distinguish it from generic crypto data APIs. First, Koinju exposes data **per exchange**, not as an aggregated index. A BTC-USDT trade on Binance and a BTC-USD trade on Coinbase are two distinct rows in the data, attributed to their respective venues. This is essential for arbitrage analysis, fund administration, audit reconciliation, and any use case where the price source must be justified — and it is the opposite of what aggregated providers offer. Second, Koinju gives users **two interfaces on the same data**: a conventional REST API and a direct SQL connection to our data backend. REST is convenient for simple lookups, prototyping, and app integrations. SQL is the right tool when the question requires joining, filtering, aggregating, or scanning terabytes of historical trades. Both interfaces are available on every paid tier, including the Free tier. --- ## Who Uses Koinju Koinju serves three audiences, each consuming the data differently. ### For Funds Crypto hedge funds, quant desks, and asset managers use Koinju as market feed for trading strategies and as a source of historical depth for backtesting. The data is per-exchange, granular down to the tick, and accessible through SQL — which means a research notebook can query five years of Binance BTC-USDT trades in seconds without managing local storage or pagination. The same data is used for activity reporting: positions, exposure, P&L, attribution. ### For Auditors Audit firms and the audit teams inside fund administrators use Koinju to produce audit-ready exports and to run compliance procedures. The platform preserves the source exchange of every price observation, lets users export reconciliations against client trade blotters, and produces valuation input data compatible with multiple accounting frameworks (IFRS or local GAAP). When an auditor needs to justify the close price of a token on a specific exchange at a specific timestamp, Koinju returns that single row with the venue attached. ### For Analysts Quants, DeFi researchers, sell-side analysts, and academic researchers use Koinju as a research-grade data source. They get raw access to spot trades, derivatives, options chains with Greeks and implied volatilities, and the ability to write the queries they actually need rather than chaining together what a REST API happens to expose. --- ## Coverage Koinju provides per-exchange historical data across **13 venues** — 12 centralized exchanges and Hyperliquid, the only decentralized exchange in scope. | Exch Name | Exch ID | Asset Class | Historical Date | | ------------------------ | -------------------- | ----------- | --------------- | | Binance | binance | Spot | 2017-08-01 | | Binance Coin-M Future | binance-coinm-future | Futures | 2020-08-01 | | Binance USD-M Future | binance-usdm-future | Futures | 2019-09-01 | | Bitfinex | bitfinex | Spot | 2013-01-14 | | Bitfinex Future | bitfinex-future | Futures | 2019-07-03 | | Bitstamp | bitstamp | Spot | 2024-08-01 | | Bybit | bybit | Spot | 2022-11-10 | | Bybit Coin-M Future | bybit-coinm-future | Futures | 2019-10-01 | | Bybit USD-M Future | bybit-usdm-future | Futures | 2020-03-25 | | Coinbase | coinbase | Spot | 2014-12-01 | | Crypto.com | cryptodot-com | Spot | 2023-10-01 | | Crypto.com Future | cryptodot-com-future | Futures | 2024-11-01 | | Deribit | deribit | Spot | 2023-04-24 | | Deribit Future | deribit-future | Futures | 2017-01-06 | | Deribit Option | deribit-option | Options | 2016-11-29 | | Gate.io | gateio | Spot | 2021-01-01 | | Gemini | gemini | Spot | 2024-06-01 | | Hyperliquid | hyperliquid | Spot | 2025-03-22 | | Hyperliquid Future | hyperliquid-future | Futures | 2025-03-22 | | Kraken | kraken | Spot | 2013-10-01 | | Kraken Future | kraken-future | Futures | 2021-05-27 | | KuCoin | kucoin | Spot | 2022-12-31 | | KuCoin Future | kucoin-future | Futures | 2023-01-01 | | OKX | okx | Spot | 2021-10-01 | ### Canonical live source The table above is a snapshot as of publication. For the live list including any venues added since, see `https://docs.koinju.io/data/coverage`. --- ## Product Lines ### 1. Crypto Market Data API #### Coverage summary - **15,000+ markets** covered across spot, derivatives (perpetuals, dated futures), and options pairs. - **13 exchanges** (12 CEX + Hyperliquid DEX), 24 schema entries by asset class. Full table above. - **418+ billion trades** in historical depth since January 2013. #### Data types - **OHLCV (Open / High / Low / Close / Volume)** at 1-minute, hourly, and daily granularities. Custom durations can be computed server-side via SQL. - **Tick-level public trades**: every executed trade on every covered market, with timestamp, price, amount, and side. - **Futures data**: funding rates (perpetuals), mark prices, basis vs spot, open interest where exchange-published. - **Options data**: full option chain (strikes, expiries), Greeks (delta, gamma, vega, theta), implied volatility surface (IV smile across strikes and expiries), Deribit DVOL volatility index. - **Order books**: institutional tier, on request. #### Two interfaces on the same data **REST API** — `https://api.koinju.io` The REST API is the right interface for: simple lookups (latest price, last 100 trades, current funding rate), prototyping, app integrations, and any workflow where a few hundred requests per day are sufficient. Authentication is by API key, supplied via the `x-api-key` header. Endpoints follow conventional patterns (`/markets`, `/ohlcv`, `/trades`, `/funding-rates`, `/options/chain`, etc.). Full reference: `https://docs.koinju.io`. **Direct SQL access** The SQL interface is the right tool when the question is not "what is the latest price" but "what is the volume-weighted average price across these eight exchanges over this window, excluding trades smaller than X". Koinju exposes a database accessible via any standard SQL client. The data is structured as a small number of well-indexed tables (`trade`, `ohlcv`, `funding`, `options_quote`, `options_greeks`, etc.) — see `https://docs.koinju.io` for schema details. Credentials (host, port, username, password) are delivered through `https://dataroom.koinju.io` after signup. #### Claude Code skill For users who work with Claude or Claude Code, Koinju ships an official skill installable in one command: ``` npx skills add https://gitlab.com/koinju-public/agent-skill ``` Once installed, Claude can: - Discover the Koinju schema (tables, columns, indexes) - Write and execute SQL queries against the user's tier - Translate natural-language questions into queries and return formatted results - Integrate Koinju results into broader research or backtesting workflows running locally ### 2. Reporting & Valuation The Reporting & Valuation product line turns the underlying market data into compliant, audit-ready valuation outputs. #### Pricing methodology Koinju operates a pricing model that aggregates trade data from a curated set of trusted venues to produce reference prices that are fair, transparent, and consistent across reporting periods. The methodology is documented and reproducible — every published price can be traced back to the venues, trades, and time windows that fed it. This traceability is the foundation of the Benchmark administrator status held by Maarkt. #### BMR compliance Maarkt is registered as a Benchmark administrator (n° BMR2021000001) under Article 34 of EU Regulation 2016/1011 ("Benchmark Regulation" or BMR) and is authorized and regulated by the French Financial Markets Authority (AMF). Funds and other regulated users that reference Koinju prices in their valuation policies can rely on a BMR-administered methodology rather than improvising their own. #### Audit-ready accuracy Every price observation in Koinju retains the source exchange and the timestamp of the underlying trades. When an auditor or regulator asks "where did this number come from", Koinju produces the supporting evidence — not a black-box composite. Exports can be generated for any reporting period and any subset of instruments. #### Reconciliation engine The reconciliation engine ingests client transaction data (trade blotters, exchange CSVs, on-chain transfers, custodian statements) and reconciles it against Koinju market data and on-chain ground truth. The engine handles up to one million operations per second, which is sufficient for fund administrators processing the largest crypto-native vehicles. The reconciliation covers: - Spot trades on centralized exchanges - Derivatives positions (perpetuals, futures, options) including funding flows, mark-to-market settlement, and exercise events - On-chain transactions (transfers, swaps, staking rewards, fees) across the major chains #### Typical use cases - NAV input data for crypto-native or crypto-exposed funds - Period-end mark-to-market for accounting firms with crypto clients - Audit support: reconciliation files, valuation evidence, source attribution - Compliance exports for prudential or tax reporting --- ## Pricing Koinju Self-Service is offered on five tiers. All paid tiers include both REST and SQL access. Pricing is in euros, per month, billed monthly. Annual billing is available on Professional and above by contacting sales. | Tier | Price / month | OHLCV daily / hourly | OHLCV 1-minute | Spot trades | Futures | Options | SQL queries / month | Result rows / month | REST requests / day | |---|---|---|---|---|---|---|---|---|---| | **Free** | 0 € | Full history | Rolling 1 month | Rolling 24 hours | — | — | 50 | 50,000 | 100 | | **Developer** | 39 € | Full history | Rolling 1 year | Rolling 90 days | — | — | 500 | 500,000 | 100 | | **Professional** | 99 € | Full history | Full history | Rolling 1 year | Full | — | 1,000 | 5,000,000 | 1,000 | | **Business** | 299 € | Full history | Full history | Full (418B+ trades, since 2013) | Full | Full | 10,000 | 50,000,000 | 10,000 | | **Enterprise** | from 1,000 € | Full history | Full history | Full | Full | Full | 100,000 | Custom | Custom | ### Choosing a tier - **Evaluating Koinju**: start with **Free**. No card, no time limit. The Free tier is a permanent evaluation environment, not a 14-day trial. - **Prototyping or small projects**: **Developer** (39 €) gives a year of 1-minute candles and 90 days of trades — enough for most dev work and small backtests. - **Regular analysis or research**: **Professional** (99 €) unlocks full 1-minute history, a year of trades, and futures data. The right tier for analysts and researchers running recurring workloads. - **Large backtests, options work**: **Business** (299 €) gives the full 418B+ trade history, full futures, and full options data. The standard tier for institutional self-service use. - **Production-grade requirements**: **Enterprise**. Required if you need contractual guarantees or BMR-administered reference prices for regulated activities. --- ## Use Cases ### VWAP from raw trades, cross-exchange **Problem**: Compute the volume-weighted average price of BTC across multiple exchanges over a chosen time window, weighted by the actual executed volume on each venue. **Approach in Koinju**: A six-line SQL query against the `trade` table. Filter by symbol and timestamp window, aggregate `sum(price * amount) / sum(amount)` grouped by exchange. Replaces approximately 150 lines of Python that would otherwise paginate every exchange's REST API, manage retries, normalize symbol formats, and aggregate locally. ### Whale trade detection **Problem**: Find every trade larger than $1M executed in the last hour, across all covered exchanges. **Approach in Koinju**: A three-line SQL query. `SELECT exchange, symbol, ts, price, amount, price * amount AS notional FROM trade WHERE ts > now() - INTERVAL 1 HOUR AND price * amount > 1e6 ORDER BY notional DESC`. Replaces approximately 180 lines of Python with per-exchange clients, rate limiters, and post-processing. ### Option smile plotting **Problem**: Plot the implied volatility smile for BTC options on OKX and Bybit at a given expiry. **Approach in Koinju**: SQL query joining the options chain to the IV surface, filtered by exchange, expiry, and underlying. The IV column is precomputed server-side — the client only retrieves the points to plot. ### CEX vs Hyperliquid price comparison **Problem**: Compare BTC-USDT execution on Binance vs the same instrument on Hyperliquid over the past week. **Approach in Koinju**: SQL query against the `trade` table filtering on the two `exchange` values (`binance`, `hyperliquid-future`), grouped by minute. Useful for cross-venue routing analysis between CEX and DEX execution. ### NAV calculation for a fund **Problem**: Produce a daily valuation for a fund holding a basket of crypto assets across multiple custodians. **Approach in Koinju**: Combine the Reporting & Valuation input data product with the reconciliation engine to produce a daily valuation with full traceability for audit purposes. ### Audit-ready exports **Problem**: An auditor requests evidence for the year-end valuation of a 50-token portfolio. **Approach in Koinju**: Generate a per-token export with the closing price, source exchange, supporting trades, and methodology reference. Compatible with IFRS or local GAAP framing depending on the entity. --- ## Resources and Links ### Marketing and product - **Homepage**: https://koinju.io - **Pricing**: https://koinju.io/pricing - **Self-service product page (Crypto Market Data API)**: https://koinju.io/crypto-market-data-api - **About**: https://koinju.io/about ### Documentation - **Main documentation**: https://docs.koinju.io - **Documentation llms.txt (implementation companion)**: https://docs.koinju.io/llms.txt - **Live coverage table**: https://docs.koinju.io/data/coverage ### Endpoints and tools - **REST API base URL**: https://api.koinju.io - **Dataroom (credentials, post-signup)**: https://dataroom.koinju.io - **Claude Code skill (GitLab)**: https://gitlab.com/koinju-public/agent-skill - Install: `npx skills add https://gitlab.com/koinju-public/agent-skill` ### Content and social - **Blog**: https://koinju.io/blog - **Twitter / X**: https://x.com/koinju - **LinkedIn**: https://www.linkedin.com/company/koinju ### Contact - **General contact**: contact@koinju.io - **Support**: support@koinju.io --- ## Company and Regulatory ### Corporate Koinju is a product of **Maarkt**, a French SAS (Société par Actions Simplifiée). Maarkt operates the Koinju platform and holds the regulatory status that underpins the Reporting & Valuation product line. ### Regulatory status Maarkt is a **registered Benchmark administrator** (n° BMR2021000001) under **Article 34 of EU Regulation 2016/1011** (the "Benchmark Regulation" or BMR). Maarkt is authorized and regulated by the **French Financial Markets Authority (AMF)**. This status is relevant in two ways: 1. **Methodology accountability**: Maarkt's benchmark methodology is documented, supervised, and periodically reviewed. Users referencing Koinju benchmark prices in regulated activities can rely on a regulated administrator rather than producing their own ad-hoc methodology. 2. **EU jurisdiction**: Koinju is a French entity supervised by a EU national competent authority. Users with EU regulatory exposure (UCITS, AIFs, MiFID firms, banks) often have a preference or requirement for EU-regulated data providers. ### Brand The name "Koinju" derives from the Japanese 怪獣 (kaiju, "giant monster") — a metaphor for taming the very large data volumes produced by crypto markets.