> For the complete documentation index, see [llms.txt](https://docs.nodepay.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nodepay.ai/core-products/node-signals.md). # Node Signals Node Signals serves as the human intelligence layer of Nodepay. \ It works as the Signal Engine, which creates targeted prompts designed to capture real-time sentiment, conviction, and behavioral expectations from the community. Users respond to these prompts, and Node Signals transforms this collective input into structured market intelligence. As thousands of responses accumulate, it generates a live snapshot of what the market believes right now. Node Signals bridges the gap between raw market data and the human intuition that often drives market movements before prices react. *** ### **How Node Signals Work** Node Signals operates in three stages: \ Signal Engine generates prompts → Users respond → Node Signals converts responses into actionable intelligence *** #### **Signal Prompts Generated by the Signal Engine** Every signal starts with the Signal Engine, which creates targeted prompts designed to capture conviction on key topics, including: * **Market direction:** BTC, ETH, SOL, macro outlook * **Emerging narratives:** AI, DePIN, RWA, Meme, GameFi * **Social sentiment:** trust in projects, KOLs' influence, perception shifts * **Behavioural indicators:** risk appetite, rotation patterns, market confidence Prompts are short, clear, and frictionless, enabling fast participation at scale. Each one reveals the emotional and cognitive layers behind market behaviour, feeding a live sentiment map that continuously updates as attention shifts across narratives. *** #### **2.2. Human-Driven Data Layer** Node Signals depends on real people, real choices, and real conviction. As responses arrive, Node Signals supported by the Signal Engine’s processing identifies: * Shifts in narrative dominance * Sentiment inflection points * Consensus vs. contrarian patterns * Early signs of market rotation * Momentum signals within user cohorts The result is a fast-evolving sentiment dataset, far more dynamic than static surveys or outdated polling. Intelligence grows stronger with every new response. *** #### **Network Effect & Distribution** Signal prompts grow stronger as they propagate through the network.
When users share prompts externally (e.g., on X), each new participant contributes: * Additional data * Diverse perspectives * Richer context * Broader demographic coverage This creates a compounding loop:

More sharing → more responses → stronger signals → clearer intelligence

This network effect directly amplifies the predictive power of Nodepay’s intelligence layer. Node Signals delivers value across multiple use cases: * **Prediction markets:** live conviction maps * **Projects:** fast, targeted insight testing * **Users:** early indicators before narrative trends This is how Nodepay transforms community input into precise market signals. *** ### **Privacy & Transparency** Node Signals is designed with strict privacy protections: * All responses are anonymised * No private messages or personal content are collected * User identities and behavioural patterns are never tracked * Only aggregated sentiment is processed Node Signals captures collective belief, not individual identity. *** ## **Signal Creation & Voting** Node Signals is more than a response system - it’s a creation platform, allowing users to shape the intelligence network actively. #### **User-Created Signal Ideas** Users can propose: * New signal ideas * Fully structured prompts Approved prompts are entered into the system and begin collecting real-time responses. #### **Community Voting** The community votes on which signal ideas should be published next, ensuring: * Relevance * Timeliness * High quality * Noise reduction This community-driven process keeps the intelligence layer focused on what matters most. #### **Rewards for Signal Creators** Creators earn more when their signals perform well, based on: * Engagement volume * Response count * Distribution and sharing * Sustained participation Signal creation becomes an active contribution path, shaping the intelligence layer while rewarding users who consistently generate high-impact prompts. *** ### **Summary** Node Signals, powered by the Signal Engine, captures crowd intuition, converts it into structured intelligence, and delivers real-time sentiment updates. It integrates: * Prompts generated by the Signal Engine * Real user responses * Network-driven distribution * AI-assisted refinement to create a continuously evolving snapshot of market beliefs and expectations. Alongside Node Collect and Node Pulse, Node Signals forms a core pillar of the Nodepay intelligence ecosystem. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.nodepay.ai/core-products/node-signals.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.