Legal

AI Disclosure

Published by N.S. IT SERVICES PTY LTD (ABN 75 122 740 121) — Last updated June 2026

NavScope is an AI-native platform. We use artificial intelligence tools — including large language models — throughout our product. This page explains exactly how.

1. All editorial content is AI-generated

Every NavScope editorial article — including per-token narratives, Critical-Question Articles, market commentary, and social media posts — is produced using AI tools (specifically, large language models including Anthropic’s Claude models) that process publicly available market data, on-chain data, and NavScope’s proprietary analytics.

This means that when you read a NavScope token narrative, market analysis, or editorial piece, the primary author is an AI model. NavScope’s editorial team provides the data, the analytical framework, and human oversight — but the words on the page originate from an AI system.

Source: NavScope Editorial Policy §3.1 (June 2026)

2. Where NavScope uses AI

Token narrative pages

Automated

Each /tokens/{slug} page includes an AI-generated narrative covering market data, on-chain patterns, exchange distribution, and safety signals. Generated by LLM from NavScope's analytics pipeline.

Critical-Question Articles

Human-reviewed

Long-form investigative editorial pieces asking critical analytical questions about specific token projects. AI-generated from NavScope data; subject to human editorial review before publication.

Social media posts

Automated

NavScope's social publishing pipeline automatically generates and publishes short-form posts (price signals, gate promotions, newly-listed alerts) across NavScope's social channels without individual human review.

Market commentary

Automated

Short signal snippets (100–300 words) covering price movements, volume patterns, and exchange activity. AI-generated from live data; auto-published as Path A content.

Safety scores

Automated

NavScope's QRank safety scores are computed by AI analytical models processing on-chain and exchange data. Not human-curated; not financial advice.

MCP tool responses

Automated

When AI agents (including Gemini, Claude, and other LLM-based assistants) query NavScope via the MCP protocol, responses are assembled from NavScope's analytics pipeline and may include LLM-synthesised summaries.

3. What is human-reviewed

Before publication, AI-generated long-form articles (Path B content — Critical-Question Articles and feature editorial pieces) are subject to a human editorial review process:

NavScope’s editorial team reviews the AI-generated article via the NavScope staff portal.
The review window is 6 hours for standard articles.
The editorial reviewer may reject, edit, or approve the article.
Published articles carry the editorial reviewer’s approval.
Silence within the 6-hour window constitutes approval.

Short-form auto-published content (Path A content — price alerts, gate promotions, newly-listed alerts) is auto-published without individual human review. These posts carry factual data only and do not include editorial opinion or critical questions.

Source: NavScope Editorial Policy §3.2 and §3.3 (June 2026)

4. Right of reply

NavScope’s Editorial Policy provides a right-of-reply mechanism for token projects subject to a Critical-Question Article. Token Issuers with an active navscope.io account and an active Social Media Articles Service Package subscription may submit a response to published Critical-Question Articles. Valid responses are published in full alongside the original article.

For full right-of-reply eligibility requirements, submission process, and timelines, see NavScope’s Editorial Policy §7.

Editorial complaints and correction requests: [email protected]

5. What our AI does not do

✕Fabricate data, community handles, contact details, or facts about any token or project

✕Provide financial advice, investment recommendations, or buy/sell signals

✕Rely on third-party data aggregators — NavScope uses its own direct-exchange pipeline

✕Make claims about future price movements as fact

✕Directly accuse specific individuals of misconduct without verifiable data

Source: NavScope Editorial Policy §4.3 and §4.5 (June 2026)

6. Mandatory AI attribution footer

Every editorial article published on navscope.io carries the following footer, verbatim:

Editorial Disclaimer

This article reflects NavScope’s editorial perspective. NavScope’s AI editorial pipeline generates analysis from publicly available market data, on-chain data, and NavScope’s proprietary analytics. NavScope’s human editorial staff review each article (subject to a 6-hour silence-as-approval window per our Editorial Policy) before publication and exercise editorial discretion over publication, withholding, and amendment. Opinions are NavScope’s genuinely held editorial position based on the data available at time of writing. AI tools were used in the production of this content.

Not financial advice: This article does not constitute financial advice, investment advice, or a recommendation to buy, sell, or hold any cryptocurrency or digital asset. NavScope does not hold an Australian Financial Services Licence (AFSL).

Data limitations: Market data is sourced from cryptocurrency exchange APIs and on-chain data providers. NavScope does not guarantee the accuracy, completeness, or timeliness of this data.

Published by N.S. IT SERVICES PTY LTD (ABN 75 122 740 121), Australia.
NavScope’s operations are governed by the laws of New South Wales, Australia.

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N.S. IT SERVICES PTY LTD (ABN 75 122 740 121 / ACN 122 740 121) — NSW, Australia — [email protected]