> For the complete documentation index, see [llms.txt](https://docs.awenetwork.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.awenetwork.ai/applications/realyse.md).

# Realyse

### What agents know

**Realyse is a neutral price layer for real-world assets, starting with trading cards.**

Real-world asset data is fragmented across marketplaces, chains, grading systems and individual listings. For agents to understand and act on these assets, they need structured data, consistent identifiers and prices that can be traced back to their sources.

Realyse provides that foundation.

### What Realyse does

Realyse collects market observations from onchain and offchain sources, maps them to canonical assets and turns them into usable prices and indexes.

Each price can be traced through the underlying data—from a market observation to a specific item, product, collection and index.

### Core functions

* **Market ingestion** — Collect observations from multiple onchain and offchain markets.
* **Normalization** — Convert inconsistent listings into structured, comparable data.
* **Canonical mapping** — Connect different listings to the same underlying asset.
* **Pricing** — Produce current, defensible prices from available observations.
* **Indexes** — Aggregate related assets into broader market benchmarks.
* **Provenance** — Preserve the source and calculation path behind every result.

### A price layer, not a storefront

Realyse does not provide trading or checkout.

Its purpose is to make fragmented asset markets understandable to applications, developers and AI agents.

### Built for agents

Realyse is designed to expose structured, machine-readable asset data through APIs and oracle-ready infrastructure.

An agent that can determine what an asset is worth can evaluate opportunities, compare markets and make informed decisions.

Trading cards are the first market. The architecture is designed to extend to other real-world asset categories.

[Read the Realyse methodology →](https://realyse.io/methodology)

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