Institutional RWA Intelligence

Structured intelligence for tokenized real-world assets

Mudara maps legal structure, custody, redemption mechanics, and on-chain representation into a unified financial intelligence graph for institutional RWA analysis.

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Built for institutions Not a trading platform No market data bias API-first infrastructure

Why this exists

RWA markets are growing. Their data infrastructure is not.

Tokenized real-world assets are expanding across treasuries, private credit, and funds — but the underlying information is fragmented across legal documents, issuers, and on-chain contracts.

Most "RWA data" today is descriptive, not analytical. Mudara exists to change that.

What legal claim does this token actually represent?
Who is the custodian and what are their controls?
Is this structure bankruptcy-remote?
How is NAV calculated and verified?
What are the redemption and liquidity constraints?
Which risks are structural vs. disclosed?

The solution

A canonical intelligence layer for RWAs

Mudara transforms fragmented disclosures into structured, machine-readable financial intelligence. We model RWAs as instruments — not tokens.

Legal structure & jurisdiction Issuer & SPV relationships Custody & asset control model NAV methodology & pricing sources Redemption & liquidity mechanics Compliance & investor restrictions On-chain representation & upgradeability Risk attributes across the lifecycle

instrument_graph.render()

Every RWA is a structured system — Mudara makes it visible.

Data model

Designed as a financial instrument graph

Entity types11

Asset01
Issuer02
SPV / Legal wrapper03
Custodian04
Oracle05
Token contract06
Fund / Pool07
Jurisdiction08
Investor class09
Risk factor10
Redemption mechanism11

Key fields we track10

Legal enforceability01
Bankruptcy remoteness02
NAV frequency & methodology03
Custody segmentation04
Redemption latency & constraints05
Regulatory classification (MiCA / Reg D / Reg S)06
Audit frequency & provider07
Collateral composition08
On-chain upgradeability09
Dependency graph (oracles, bridges, admins)10

Use cases

Built for institutional decision-making

ALLOCATION

Asset allocators

Compare RWA structures across issuers
Identify hidden custody or liquidity risks

RISK

Risk teams

Analyze structural exposure across portfolios
Detect concentration in custodians or oracles

RESEARCH

Research teams

Map evolution of tokenized credit and funds
Standardize RWA classification frameworks

COMPLIANCE

Compliance teams

Evaluate jurisdictional and investor restrictions
Track regulatory exposure (MiCA, SEC, etc.)

Differentiation

Not another RWA dashboard

	Mudara	Market data vendors	Issuers
Coverage	Instrument-level structure	Price + TVL only	Single product view
Objectivity	Neutral intelligence layer	Aggregation layer	Conflicted data
Depth	Legal + custody + on-chain graph	Surface metrics	Internal systems
Comparability	Comparable across issuers	Fragmented	Siloed

Architecture

Built for structured financial intelligence

Mudara is built as a queryable financial graph, not a dashboard.

API

Structured instrument data

Programmatic access to every field in the instrument graph.
GRAPH

Relationship queries

Traverse dependencies between issuers, custodians, and oracles.
UI

Research interface

An institutional interface for exploring instruments directly.
EXPORT

Risk & compliance layers

Structured exports built for downstream risk and compliance workflows.

query.mdrgraph query

SHOW all tokenized funds WHERE
  structure        = bankruptcy_remote
  redemption       = T+1
  custodian        = regulated
  nav_audit        < 30d

Trust

Built for institutional-grade reliability

Structured, not scraped data

Source-linked disclosures

Human + automated verification layer

Versioned instrument history

Audit trail for every field

No market-data dependency