Ozak AI x Centic
Ozak AI was built to answer a timing question: “Can we spot a market move before the rest of the screen lights up?”Our Prediction Agents crunch thousands of data points and fire an alert in roughly 30 milliseconds - fast enough to make latency itself a trading edge.
Centic approaches insight from the opposite angle. Instead of raw price, it maps who and what sit behind every on-chain event. By stitching wallet behaviour, token health, off-chain mentions, and DApp growth into a single knowledge graph, Centic turns blockchain activity into rich, entity-level intelligence.
Bringing these two views together - speed on one side, context on the other - opens new doors for anyone trying to understand why a candle prints, which wallets are moving size, or how a protocol’s fundamentals line up with its market pulse.Today we’re announcing a collaboration with the Centic to explore exactly that intersection.
Ozak AI x Centic: Who Is Centic?
Centic bills itself as “Web3 Intelligence Infrastructure,” and the description fits. Under the hood is a knowledge graph that ingests wallet flows, smart-contract events, GitHub commits, social chatter, and even exchange listings - then binds all those fragments to the blockchain entities that matter: tokens, DApps, NFT collections, CEXs, DAOs, individual wallets.Powered by a data engine that already tracks 900M+ wallets, 16B+ transactions, 60,000+ DApps, and 30,000+ assets, Centic delivers intelligence at true ecosystem scale while staying laser-focused on real-time, on-chain activity.
From that data layer Centic spins out three core products:
- Entity Dashboards – credit-style scores for wallets, token health meters, growth curves for DApps and exchanges. Want to know whether a whale address is a seasoned farmer or a fresh airdrop hunter? One click.
- Real-time Alerts & Feeds – webhooks that ping when a project’s on-chain activity spikes, a dormant wallet wakes up, or a token’s holder distribution shifts.
- Plug-and-play APIs & Widgets – endpoints that drop wallet scores, project stats, and holder behaviour analytics straight into third-party apps. Builders get actionable context without wrangling raw chain data.
The result is a panoramic view of Web3’s actors and their impact, covering dozens of chains and tens of thousands of projects - all updated continuously.
Where Ozak AI and Centic Could Intersect
Pairing Ozak AI’s split-second market alerts with Centic’s entity analytics suggests some intriguing possibilities:
Signal plus context in a single ping
Imagine getting an Ozak AI alert on a sudden ETH surge and, in the same notification, seeing which wallets just moved size, the project addresses involved, and whether social sentiment flipped bullish or bearish - courtesy of Centic’s knowledge graph.
Smarter risk dashboards
A trader could overlay Ozak AI’s real-time price trajectory with Centic’s wallet-score heat map, spotting whether the move is whale-driven, retail-fueled, or bot-generated before taking a position.
Builder-friendly APIs
Devs might pull live Ozak AI forecasts and Centic entity scores into a single widget - turning an ordinary price chart into an insight panel that tells both the “when” and the “who” behind every spike.
Progressive learning loop
As Centic flags wallet behaviours and token-health shifts, those patterns could feed back into Ozak AI’s models, sharpening future predictions. In return, Ozak AI’s high-frequency price data can help Centic refine its scoring algorithms.
The overlap points toward a richer, more explanatory form of market intelligence - one where speed and context arrive together instead of in separate tools.
Ozak AI x Centic: Closing Thoughts
In fast-moving markets, timing answers the “when,” but context explains the “why.” By bringing Ozak AI’s millisecond-level signals together with Centic’s deep entity analytics, we’re moving toward a future where traders and builders get both answers in a single glance.
The journey starts with experiments and community feedback, and we’re excited to build it in the open with you. Thanks for joining us as we explore what real-time, fully
