Data Model

A Ref is the universal base unit in Pelagora. Every listing — whether it's a car, a guitar, or a restaurant voucher — is a Ref. Refs are Schema.org-compatible so they can be understood by search engines, LLMs, and third-party platforms.

Base Fields

Every Ref has these universal fields:

Field	Type	Description
id	string	Unique identifier (UUID)
name	string	Display name (Schema.org: name)
description	string	Free-text description (Schema.org: description)
category	string	Top-level category (e.g., "Vehicles")
subcategory	string	Subcategory (e.g., "Cars")
listingStatus	enum	Visibility: private, for_sale, willing_to_sell, archived_sold, archived_deleted
quantity	number	Units available
sku	string?	Optional SKU or serial number
condition	string?	Category-appropriate condition value
attributes	object?	Category-specific attributes (JSON)
beaconId	string	Public key of the owning node
createdAt	string	ISO 8601 creation timestamp
updatedAt	string	ISO 8601 last-modified timestamp

Location Fields

Field	Type	Description
locationLat	number?	Latitude
locationLng	number?	Longitude
locationAddress	string?	Street address (stored locally only, never shared over DHT)
locationCity	string?	City
locationState	string?	State/province
locationZip	string?	Zip/postal code
locationCountry	string?	Country code
sellingScope	enum?	global, national, or range
sellingRadiusMiles	number?	Radius in miles (when scope = range)

Sync Fields

Field	Type	Description
reffoSynced	boolean	Whether this Ref is synced to the Reffo platform
reffoRefId	string?	The Ref ID on the platform (if synced)

Trait System

Refs compose behavior through traits — capability labels that describe what a Ref supports. Traits document the category's data shape.

Trait	Description
Priceable	Has a price and currency. Can receive offers.
Conditional	Has a condition field with category-appropriate values.
Valueable	Has appraised or market value significance.
Serialized	Has a unique serial/identification number (VIN, IMEI, parcel ID).
LocationBound	Physical location matters for the transaction.
Consumable	Used up or redeemed (gift cards, vouchers).
TimeBounded	Has an expiration or validity window.

Category Composition

Each category defines which traits apply:

CarRef       = Ref + Priceable + Conditional + Valueable + Serialized + LocationBound
HousingRef   = Ref + Priceable + Conditional + Valueable + Serialized + LocationBound
PhoneRef     = Ref + Priceable + Conditional + Valueable + Serialized
ArtRef       = Ref + Priceable + Conditional + Valueable
FurnitureRef = Ref + Priceable + Conditional + LocationBound
DiningRef    = Ref + Priceable + Consumable + TimeBounded + LocationBound

Listing Status Flow

private  ──►  for_sale  ──►  archived_sold
   │              │
   │              ▼
   │        willing_to_sell
   │              │
   ▼              ▼
archived_deleted  archived_sold

• private: Not visible to other nodes or the network.
• for_sale: Actively listed with a price. Discoverable via DHT.
• willing_to_sell: Open to offers but no fixed price. Discoverable.
• archived_sold: Transaction completed. No longer discoverable.
• archived_deleted: Removed by owner. No longer discoverable.

Privacy Tiers

Tier	What's shared	Where
Local only	Full address, exact lat/lng	Stored in node SQLite, never transmitted
DHT (blurred)	City, state, zip, blurred lat/lng (~0.7 mi precision)	Shared with peers via Hyperswarm
Platform (synced)	City, state, zip, blurred lat/lng, Schema.org data	Stored in Supabase when sync is enabled

The blurLocation() function rounds coordinates to 2 decimal places (~0.7 mile / zip-code precision) before any network transmission.

Schema.org Compatibility

Every Ref maps to a Schema.org type. The attributes object holds category-specific fields, and the buildSchemaOrg() function transforms them into standard JSON-LD:

{
  "@type": "Car",
  "name": "2020 Toyota Camry XLE",
  "description": "One owner, clean title, dealer maintained",
  "vehicleModelDate": "2020",
  "brand": { "@type": "Brand", "name": "Toyota" },
  "model": "Camry",
  "mileageFromOdometer": {
    "@type": "QuantitativeValue",
    "value": 45000,
    "unitCode": "SMI"
  },
  "vehicleTransmission": "automatic",
  "offers": {
    "@type": "Offer",
    "price": 18500,
    "priceCurrency": "USD"
  }
}

See the Schema.org guide for the full mapping reference and the Adding Categories guide for extending the schema system.