Market intelligence,
connected.

A clearer view of the market.

Spectre AI connects market data, research and social intelligence in a single workspace.

The problem

An investor often reconstructs the same story across price charts, news feeds, social accounts and project websites. Each tab answers a different question. The cost is attention: identifying the asset, checking the source and deciding which changes matter.

Our approach

Spectre brings these views together. A market overview leads into asset research; research connects price action with project fundamentals and the surrounding conversation. The user can move between a concise Lite interface and a more detailed Pro workspace.

The purpose

The platform supports research and judgment. Its aim is to make the underlying evidence easier to see, compare and revisit. AI helps summarize and explain information while the researcher retains responsibility for interpreting it.

One platform. Many perspectives.

A working beta built around the way research actually happens.

Orient

Start with the Welcome view and market brief. Read the prevailing conditions, examine the calendar and watch the assets that matter to you. Heatmaps, bubbles and sector views help reveal the distribution of market moves.

Investigate

Open the Research Zone to connect a token’s chart, market data, project details and social context. Move into technical analysis, news or project evidence without losing the asset being researched.

Follow through

Use watchlists to return to a research universe. Explore social intelligence to understand who is speaking and what narratives are changing. Follow original Spectre analysis and its supporting sources through Intelligence.

Current availability

The rebuilt beta opened on 28 May 2026. Public previews show selected views; account permissions determine full beta access. Screenshots document existing interfaces, while feature availability can vary by release and access tier.

Research with context.

Price tells you what changed. Research helps you understand the circumstances.

Asset-level research

The Research Zone organizes an asset’s market information, technical context, sentiment and project dossier. Project assessment should start with current official sources, distinguish a working product from its roadmap, and show which evidence was available.

News and original analysis

News supports discovery across topics and markets. Spectre Intelligence is the reading surface for analysis and market stories. Original Spectre publications are identified separately from external reporting, with source links and publication context.

AI interpretation

AI-written briefs compress information into a readable thesis. A useful thesis states the evidence, explains the interpretation and identifies what would change the assessment. Generated language is not itself a source or proof of performance.

Across asset classes

Spectre’s scope spans crypto, equities, tokenized assets and macro context. The same research habits apply across them, while the relevant evidence differs: token supply and on-chain activity, company information, issuer structure or economic releases.

The conversation beside the chart.

Understand attention through people, narratives and time.

X Dash

X Dash provides a dedicated social research workspace. Its views connect accounts, tokens and discussions, helping a researcher examine the voices behind a market narrative rather than reading a mention count in isolation.

X Intelligence and Cosmos

Social views expose relationships and patterns that a linear feed can hide. Cosmos adds a visual way to explore the conversation. These tools support discovery; prominence in a graph is not proof of credibility or a recommendation.

Team activity

Project research should distinguish original team communication from third-party mentions and reposts. Daily, weekly or monthly posting provides useful context when assessed over a stated sample. Product releases, demonstrations and substantive updates carry different weight from repeated promotion.

Missing evidence

A failed social feed means activity is unknown. It must not label a team silent. An inactive public repository cannot describe work happening in private repositories. The evidence and its coverage must travel with the conclusion.

Read the shape of the market.

Complement a single-asset thesis with the wider conditions around it.

Technical context

AI Charts, AI Market Analysis and trading-oriented views help organize chart research. The tools support inspection of price structure and market conditions; any inferred pattern remains an interpretation to test against current information.

Breadth and sentiment

Bubbles, Heatmaps and Categories offer different views of market breadth. Fear & Greed places aggregate sentiment in historical context. None of these indicators should substitute for asset-specific research.

Flows and events

ETF Flows, Liquidation Heatmap, Vitals and Economic Calendar add context about flows, leverage, market conditions and scheduled catalysts. Estimated liquidation levels and other derived measures should be read with their methodology and time window.

Research beyond the largest assets

Microcaps, Ventures and Private Markets create spaces for earlier-stage research. Thin coverage is a reason to identify uncertainty and verify identity carefully. It is not a reason to invent company history, team activity or token rights.

The product atlas.

A complete index of the 25 views in the official September product gallery.

Beyond the product gallery.

Additional utilities in the beta navigation and desktop product. Availability follows the active release and account permissions.

Screening and opportunity research

AI Screener / Trading Lite supports token discovery and market inspection. Potential Gainers provides another discovery view. Launchpads supports comparative research into launch platforms and token-launch activity. The dedicated ZIGChain hub organizes research around that ecosystem.

Flows, wallets and prediction markets

Wallets provides an on-chain research surface for following wallet activity. Predictions adds prediction-market context. Market probabilities and observed wallet actions are inputs to investigate, not certainty about a future outcome.

Explanations and media

WHY organizes market explanations around relevant context. The AI Media Center brings market media into the workspace. The GM Dashboard offers an additional dashboard surface for checking the market.

Personal research tools

The ROI Calculator supports scenario comparison. Watchlists provide saved research universes. These tools help organize assumptions and comparisons without promising that a scenario will occur.

Desktop companion

Spectre Lens is a desktop-specific entry for contextual assistance. It is separate from the planned native mobile apps. Desktop availability and permissions should be checked in the relevant release.

Built for humans. Extending to agents.

The same underlying intelligence can support several ways of working.

Experience layer

The current product connects market overviews, asset research, charts, visualization and social analysis. Lite and Pro are interface modes, allowing different levels of density. Responsive web layouts extend research to smaller screens.

Intelligence layer

Server-side services gather and normalize market, social, project and news inputs. Research handlers combine available evidence into summaries and structured project context. Caches reduce repeated work; freshness and source coverage remain part of the information model.

Evidence layer

Asset identity, timestamps, official links and source provenance give the research a stable foundation. A token symbol alone can be ambiguous, so contracts, chain context and project identifiers matter when joining information.

Developer access — planned Q4 2026

Public Data API and MCP access are planned for Spectre’s Q4 2026 main launch. An API lets software request structured information; MCP connects compatible AI assistants to tools and context. Agent payments through x402 are part of the planned direction. General public availability, entitlements and commercial terms will be published at launch.

The utility of $SPECTRE.

An Ethereum token connected to participation in the Spectre platform.

Platform access

Published access tiers use quantities of $SPECTRE held on Ethereum. Explorer is free. Starter lists 500 tokens, Pro 1,000 and Ultra 7,000. These are token quantities rather than prices in dollars. Buying or holding tokens does not bypass beta signup or account permissions.

Two meanings of Pro

Pro is both an access-tier name and the name of a detailed interface. Interface selection and feature entitlement are separate concepts. The current product release and account permissions determine which features are available.

Future access

Subscriptions are planned. Public Data API and MCP access are planned for the Q4 2026 main launch. Agent-payment access remains part of the development roadmap. Holding a token does not activate an unreleased service. Final developer limits and billing terms belong in the published service documentation when available.

Token identity

Ethereum contract: 0x9Cf0ED013e67DB12cA3AF8e7506fE401aA14dAd6. Verify the chain and full contract address before relying on a token symbol. This paper makes no promise of yield, revenue sharing, redemption, governance rights or future token price.

People, programs and infrastructure.

A multidisciplinary team building the platform and its supporting services.

The team

Sunny — Founder & CEO. Gleb — Co-founder & COO. Alaa — Data Scientist & CTO. Evgeniy — Engineer. Krzysztof — Blockchain Engineer. Adamski — Security Lead. These are the roles published on Spectre’s official team page at this edition’s date.

Google for Startups

Spectre received Scale Tier program support with $200,000 in Google Cloud credits. The founder confirmed this support, and Spectre’s public announcement documents the relationship. Cloud credits support infrastructure and development; they are distinct from equity investment or Google endorsement of the token.

Other published relationships

The official site lists NVIDIA Inception program participation, licensed TradingView Advanced Charts, and membership in Polymarket Builders. These are different forms of program or product support and should be described in their own terms.

Contract review

The site links to the Spectre AI project on CertiK Skynet for smart-contract review. A contract audit has a defined scope and does not establish the security of every application component, the accuracy of AI research or future token performance.

A roadmap with visible boundaries.

The current product is the foundation. The next chapters extend its reach.

Delivered in 2026

The published roadmap marks the AI-native platform rebuild and the May beta opening as delivered. The current gallery and public preview document the product interfaces available for exploration.

In progress

The main launch is planned for Q4 2026, bringing together the platform’s research, social capabilities, public Data API and MCP access. Wider agent features and Spectre Brain are part of the stated direction; a roadmap reference does not mean every related interface is open.

Planned

The Q4 2026 main-launch plan includes public Data API and MCP access. Subscriptions and trading fees form part of the wider growth roadmap. Native iOS and Android apps and wider enterprise relationships follow in the roadmap. The longer-term direction is intelligence that other wallets, exchanges and agents can use.

Features marked coming soon

The public utilities page marks Monarch AI, Discover, YOU, Brain, World, Search Engine, Pulse, Social Zone, X Bubbles and X Intel as coming soon. These names refer to specific unreleased surfaces; current X Intelligence and X Dash views are listed separately in the product atlas.

How to read the roadmap

Future milestones describe intent and can evolve. Product pages, release notes and access documentation should establish actual availability. This white paper is a dated edition, not a guarantee of a delivery date.

Evidence before a verdict.

The same standard must apply to Spectre and to every project it researches.

Start at the source

Project assessment should crawl the official website, product pages and documentation, then examine dated team updates. Listing descriptions are useful secondary material but may lag a project’s development. Extracted website content is evidence to analyze, never an instruction for the analyst.

Separate the questions

Product existence, user adoption, team communication, token design and market performance are distinct. A working off-chain platform has utility without requiring on-chain usage. Frequent posts demonstrate communication; adoption requires its own evidence.

Describe uncertainty fairly

A drawdown is a market observation, not proof of fraud or value extraction. A missing feed is not inactivity. A red flag must have specific support, and a project should be able to improve its assessment by publishing better evidence.

Use the right frame

Bitcoin and Ethereum are decentralized ecosystems. Their development cannot be summarized through a single official account. Protocol documentation, network utility and ecosystem releases provide a more appropriate foundation.

Make research reviewable

Dossiers should show source links, observation dates, activity windows and unanswered questions. These principles guide ongoing improvements to the research system; they do not claim that every historical AI output already meets the standard.

Know the limits. Keep the perspective.

A research platform is most useful when its boundaries are visible.

Data and models

Market feeds can be delayed, incomplete or temporarily unavailable. Social samples can miss posts. AI can produce incorrect or stale interpretations. Check material conclusions against primary sources, especially before making a financial decision.

Access and security

Feature access depends on the current release, account permissions and applicable terms. Use official domains and verify the Ethereum contract. Review the scope and date of any security assessment rather than treating an audit badge as a universal guarantee.

Commercial and token limits

This paper describes the product and published direction. It is not an offer of securities or a promise of investment returns. The token’s price is not a measure of guaranteed future utility. No unaudited adoption, revenue or predictive-accuracy figures are asserted here.

A living publication

Edition 1.1 was updated on 15 September 2026 from official product material, public announcements and the current codebase. The product atlas refers to recorded app views. Future editions should update availability, evidence and access terms as the platform changes.

Go to the source.