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FLARESIGNAL · FAQ & DATA PRINCIPLES

Clear evidence.
Clear boundaries.

Customer-facing guidance for interpreting FlareSignal data, charts, XRPFi intelligence, history, Pro features and privacy. It focuses on what the outputs mean, their evidence boundaries and their important limitations.

509 active customer-facing metric definitions0 questions in this section
FAQData principlesFAQ tabs change this reference only. They do not navigate away from the page.

FLARESIGNAL

Scope and interpretation boundaries

What the platform is designed to measure, and what it deliberately refuses to claim without evidence.

What is FlareSignal?

FlareSignal is an independent Flare and Songbird ecosystem-intelligence platform. It joins verified network state, FTSO reference pricing, exchange market microstructure, FAssets/FXRP state, XRPFi protocol capital, yield and credit observations, wallet evidence, event context and live flow visualisation into one shared analytical data layer. It is not an official Flare Networks product and does not speak on behalf of Flare or any integrated third-party protocol.

What problem is FlareSignal designed to solve?

The platform is designed to make the Flare/Songbird system observable as a connected economic network rather than as a collection of unrelated token-price pages. A researcher can move from price and liquidity into chain activity, supply structure, FAssets, XRPFi deployment, protocol yield/credit, wallet routing and event context while retaining provenance and accounting boundaries.

How does FlareSignal keep metrics consistent?

FlareSignal uses shared metric definitions so the same measurement keeps the same meaning across customer-facing charts, pages and supported data interfaces. This reduces contradictory totals and interpretation drift. Internal implementation details are not part of the public FAQ.

Why can metric counts differ between the FAQ and API catalogue?

Different FlareSignal surfaces can expose different metric populations depending on their purpose and access scope. A count should therefore be interpreted in the context of the surface that reports it rather than assumed to represent every metric available across the platform.

How does FlareSignal separate facts from analysis?

FlareSignal distinguishes directly observed or source-reported facts from derived analysis. Derived outputs remain labelled as analysis and do not become source-reported facts simply because they are displayed beside them.

What is the difference between an observation, an attribution and an inference?

An observation is directly supported by the source, such as an executed exchange fill or an on-chain event. Attribution links that observation to a protocol, address role or economic component using verified evidence. Inference interprets what the evidence may mean. FlareSignal keeps these levels distinct because the confidence requirements are different.

Does an event marker or correlated signal mean the event caused the market move?

No. Event time, market co-movement and causal attribution are separate. FlareSignal can show that a protocol launch, governance action, macro event or wallet incident occurred near a price/volume change. Causation requires a defensible mechanism and supporting evidence; temporal proximity alone is not sufficient.

Does FlareSignal provide trading or investment advice?

No. The platform exposes market structure, liquidity, volatility, protocol economics, wallet evidence and other decision-useful data, but it does not convert those observations into personalised buy, sell or hold instructions. A signal can describe measurable conditions without claiming a future return.

Why can two FlareSignal totals that both reference XRP or FXRP differ?

Because they may answer different accounting questions. FXRP system supply, protocol balance, receipt-token look-through, collateral deployment, generated yield and derivatives notional are not interchangeable. FlareSignal intentionally keeps capital-location, economic-output and market-activity measures separate unless the accounting relationship is explicitly defined.

Why does FlareSignal sometimes show partial history?

FlareSignal shows only retained or otherwise verified historical evidence. If an older period cannot be supported, the available coverage boundary is disclosed instead of manufacturing observations or presenting an incomplete period as complete.

How should a reviewer evaluate a FlareSignal metric?

Check the measurement name, classification, unit, time window, freshness, provenance, historical coverage and stated limitations shown with the output. These are the fields intended for interpretation and review.

PLATFORM OVERVIEW

Need the shorter product overview?

The What is FlareSignal? page explains the platform at a glance. This FAQ covers customer-facing data principles, product interpretation and privacy.

What is FlareSignal? →