Product

Tokenized real estate data is scattered across dozens of platforms, each with different schemas, disclosure formats, and update frequencies. Manual reconciliation doesn't scale. Cyndicate provides a single normalized data layer with full provenance tracking.

Data Coverage

Coverage spans major US and international tokenization platforms. Asset types include residential, commercial, industrial, and mixed-use real estate across equity and debt structures.

50+

Platforms tracked

200+

Active deals monitored

200+

Standardized fields per deal

12

Jurisdictions covered

The Deal Data Graph

Each tokenized real estate transaction is mapped to a canonical object with 200+ standardized parameters. Property attributes, legal structures, token mechanics, and disclosure documents follow a consistent schema regardless of origination platform.

Canonical Deal Objects

Every deal is normalized into a consistent structure covering property characteristics, SPV details, token specifications, and regulatory status.

  • Property type, location, and valuation data
  • Legal wrapper classification (SPV, REIT, fund)
  • Token standard, supply, and transfer restrictions
  • Cross-platform identifier mapping

Cross-Platform Comparability

Evaluate deals across platforms using consistent metrics. Compare yield calculations, disclosure completeness, and structural features side-by-side.

  • Standardized yield and return calculations
  • Disclosure completeness scoring
  • Jurisdiction-aware regulatory mapping
  • Direct links to source documents

Data Pipeline

Five stages from raw disclosure to delivery

Ingest

Pull from platform APIs and issuer disclosures.

Normalize

Map each field to our 200+ field canonical schema.

Classify

Tag each data point as verified, issuer-provided, or inferred.

Monitor

Watch for disclosure updates and material events daily.

Deliver

Serve via REST API or web dashboard with full history.

Data Provenance

Every data point carries lineage metadata. You can trace any field back to its source document, see who provided it, and understand the verification status.

Verified

Cross-referenced against offering documents or on-chain records by Cyndicate analysts. Includes document ID, verification date, and analyst reference.

Issuer-Provided

Submitted directly by the platform or sponsor via API or data portal. Tagged with provider name, submission timestamp, and version number.

Inferred

Derived from related fields using documented logic (e.g., property type from address or legal structure from jurisdiction). Methodology ID included for audit.

Use Cases

How institutions use Cyndicate

Due Diligence

Before allocating to a tokenized real estate deal:

  1. Query deal by platform ID or token address
  2. Review canonical object for structure and terms
  3. Check provenance status of key fields
  4. Compare against similar deals
  5. Export disclosure package

Portfolio Monitoring

For ongoing monitoring of existing positions:

  1. Add holdings to watchlist
  2. Configure alerts for disclosure updates
  3. Receive valuation change notifications
  4. Review change history and documents
  5. Generate compliance reports

Index Construction

For building tokenized real estate benchmarks:

  1. Define eligibility criteria
  2. Query universe with filters via API
  3. Apply data quality thresholds
  4. Calculate market-cap weights
  5. Schedule daily reconstitution checks

Event Monitoring

Automated monitoring for material changes. Alerts are delivered via webhook, email, or dashboard notification.

Disclosure Updates

New filings, amended documents

Valuation Changes

Reappraisals, NAV updates

Structural Events

SPV changes, token migrations

Regulatory Status

Exemption changes, new filings

Index-Ready Infrastructure

Data architecture designed to support index construction, eligibility screening, and systematic portfolio management strategies.

Eligibility Criteria

Structured data fields support rule-based eligibility determination for index inclusion, investment mandates, or regulatory compliance. Filter by jurisdiction, asset type, legal structure, disclosure status, and data quality thresholds.

Benchmarking Foundation

Standardized deal objects enable consistent universe definition and performance attribution. Market-level aggregations support sector analysis and relative assessment of individual transactions.

Sample Eligibility Matrix

Criterion Description Data Source
Jurisdiction Regulatory domicile of legal wrapper Verified / Issuer
Asset Type Property classification (residential, commercial, etc.) Verified / Inferred
Legal Structure SPV, REIT, fund, or direct ownership Verified
Disclosure Status Current regulatory filings and updates Monitored
Data Completeness Minimum field coverage requirements Calculated

Data Access

REST API for programmatic access

Query deals, retrieve provenance data, and subscribe to event notifications.

Core Endpoints

  • GET /deals — Query deals with filters
  • GET /deals/{id} — Retrieve canonical object
  • GET /deals/{id}/provenance — Field-level lineage
  • GET /deals/{id}/history — Change history
  • GET /events — Recent events across universe
  • POST /webhooks — Subscribe to notifications

Output Formats

JSON (default), CSV for bulk exports, PDF for compliance reports.

GET /deals/{id}

{
  "id": "cyn_deal_8f3k2m",
  "platform": "TRE Solutions",
  "platform_id": "0x1234...abcd",
  "property": {
    "address": "123 Main St, Detroit MI",
    "type": "single_family_residential",
    "valuation": 125000,
    "valuation_date": "2024-10-01"
  },
  "structure": {
    "legal_wrapper": "LLC",
    "jurisdiction": "US-DE",
    "token_standard": "ERC-20"
  },
  "provenance": {
    "valuation": "verified",
    "property_type": "inferred",
    "legal_wrapper": "issuer_provided"
  },
  "updated_at": "2024-11-20T09:15:00Z"
}

Why not build in-house?

Building a tokenized real estate data layer is possible but resource-intensive.

Build In-House

  • + Integrate multiple platform APIs with different schemas
  • + Build and maintain normalization logic
  • + Develop provenance tracking system
  • + Monitor for schema changes and new platforms
  • + Staff for ongoing data quality operations
  • + Build compliance and audit trail features

Use Cyndicate

  • Single API for normalized deal data
  • Coverage expands as market grows
  • Provenance and audit trails included
  • Event monitoring out of the box
  • Focus engineering on core product
  • Predictable subscription cost

Ready to explore the platform?

Request institutional access to review sample data and discuss integration options.

Schedule a Demo