Organization Name – DataMaxi+
Category – 
Data & Analytics
DataMaxi+ presents itself as an early‑stage crypto data‑analytics service that wants to give traders institutional‑grade market intelligence at retail speed and cost. According to company record…s, the project soft‑launched in Seoul in April 2024, when founder and chief executive Bryan Kim—also the CEO of Web3 infrastructure firm Bisonai—unveiled an “arbitrage‑first data stack” during the IXO™ 2024 road‑show in Seoul, telling the audience he was building “a comprehensive solution for Kimchi‑premium trading and other quantitative strategies”
From that pitch grew a public web app and an API suite that now operate under the DataMaxi+ brand. The landing page showcases dashboards that track real‑time price gaps across major exchanges, funding‑rate extremes, and what the team calls Korea‑premium indices—charts that compare Bitcoin, Ether and other large‑cap tokens on Upbit against global venues such as Binance to infer domestic retail sentiment
Users can filter instruments, drill into spread history, and set alerts, while a companion “Exchange Events” feed aggregates listing notices and promotional campaigns so that short‑term traders see hard‑to‑arb announcements alongside price data
Under the hood, DataMaxi+ leans on open‑source tooling. Bisonai maintains the official Python SDK on GitHub and publishes the package on PyPI, allowing quants to fetch metrics or stream WebSocket data into their own models with a few lines of code
The documentation site explains that the same endpoints are mirrored in a Rust library and that calls can be authenticated with free keys during what the team labels a proof‑of‑concept period; enterprise plans are available for firms that need higher‑rate limits or commercial redistribution rights
Beyond exchange feeds, the roadmap hints at on‑chain coverage—address balances, DEX volumes, gas metrics—and the company is actively recruiting “data partners” willing to share token‑ecosystem or liquidity‑pool statistics in exchange for traffic and co‑marketing Kim has said publicly that the long‑term vision is to fuse centralised and decentralised data into a single pane so that traders can spot arbitrage windows not only between order‑book venues but also between CEXs and AMMs, something few analytics suites attempt at scale.
Security and governance have been early selling points. In January 2025 DataMaxi+ became one of the youngest analytics players to earn VaaSBlock’s RMA™ badge after auditors evaluated its corporate controls, revenue disclosures, technology safeguards and team proficiency; VaaSBlock reported that the platform exceeded expectations in the “Results Delivered” category, citing transparent uptime logs and public SDK repositories
Kim described the certification as “critical for winning the confidence of institutional counterparties” in a LinkedIn post that VaaSBlock amplified in its own announcement thread, arguing that data‑feeds used for risk‑managed strategies should themselves be independently verified
While RMA remains a relatively new framework, the endorsement aligns with DataMaxi+’s decision to publish its client libraries under the permissive MIT licence—anyone can inspect the code path from API request to JSON payload.
Functionally, the product splits into Maxi Analytics, a browser GUI geared toward discretionary traders, and Maxi API, the machine‑to‑machine layer that quants or fintech apps can embed. Documentation advertises latency in the low hundreds of milliseconds and fail‑over nodes in Singapore and Virginia, though these numbers are self‑reported. Feature highlights include a “Wonsangttari Premium” widget that charts real‑time spreads between Korean won‑denominated stablecoins and their USD counterparts, and a funding‑rate screener that flags perpetual markets trading 100 bps above or below their eight‑hour average
The company claims these datasets help users time entries on popular basis trades—long spot, short perps—or hedge directional portfolios by shorting over‑funded coins. For analysts who prefer raw CSVs, the site offers one‑click downloads and promises S3 bucket sync for enterprise tiers.
Early traction has centred on the Korean market, where the so‑called Kimchi premium often reaches several percentage points and local traders scour Telegram for real‑time feeds. LinkedIn posts from Bisonai staff say the service already integrates data from “major domestic and international exchanges” and supports both retail dashboards and institutional risk panels
In April 2025 the Hong‑Kong–licensed exchange HashKey Global announced a strategic partnership with Bisonai to embed DataMaxi+’s analytics into its order‑routing fabric, calling the move a step toward “data‑driven trading infrastructure” for professional clients
Observers viewed the alliance as validation that DataMaxi+ can serve a regulated venue with strict compliance requirements.
Though now an independent brand, DataMaxi+ still taps Bisonai’s broader product suite, which includes a blockchain oracle network and the Klaytnfinder block explorer. Bisonai positions itself as a full‑stack data company, so DataMaxi+ benefits from shared back‑end services and DevOps resources
The synergy surfaced again when the GitHub repo credited four Bisonai engineers for the SDK release and advertised forthcoming support for account‑abstraction wallets and MPC signing, hinting that secure trade automation is on the horizon
Commercial questions remain. The website currently grants PoC‑level API keys at no cost and only teases paid tiers, raising the unavoidable matter of how and when to monetise
Kim told the IXO audience that the initial priority is network effect: “capture the eyeballs of traders who refresh Bybit spreads every thirty seconds,” then upsell premium latency or bespoke datasets
A pricing FAQ invites enterprise users to negotiate customised plans, suggesting the team is courting OTC desks, market makers and quant funds willing to pay for Critical mass will be essential; arbitrage leads decay in seconds, so if the feed is slow or coverage incomplete, professional traders will churn. Competing products like Kaiko or Coin Metrics already enjoy multi‑year head starts, though they often charge four‑figure sums for similar datasets—an opening DataMaxi+ hopes to exploit by remaining aggressively priced.
Regulation, too, looms. Market‑data vendors fall into a grey zone, but as Korean authorities tighten oversight of crypto derivatives and premium trades, data platforms that explicitly facilitate arbitrage may attract scrutiny. The RMA badge shows proactive self‑regulation, yet DataMaxi+ has not announced ISO‑27001 certification or SOC 2 audits, both common for Western data firms. Any move to issue a native token or facilitate trade execution—as hinted in a recent community AMA—would invite a new layer of compliance complexity. For now the service stops at analytics, content to send users back to exchanges for execution.
Despite these caveats, DataMaxi+ offers a compelling glimpse of where crypto data tooling is headed. Its cross‑venue spread engine targets a persistent inefficiency unique to Korea’s retail‑heavy market; its API and open‑source SDKs lower the barrier for hobbyist quants; and its early partnership pipeline suggests institutional appetite. If the team can convert its free‑tier user base into paying customers while maintaining the transparency standards that secured its RMA certification, it might carve out a profitable niche in the crowded analytics arena. The next milestones—rolling out on‑chain data, delivering promised latency SLAs, and publishing independent security audits—will determine whether DataMaxi+ remains a beta‑stage curiosity or graduates into a durable piece of trading infrastructure in Asia’s fast‑moving crypto landscape Read More
Data & Analytics
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