openrtb-extensions.yaml

openapi: 3.0.3
info:
  title: Trillboards OpenRTB 2.6 Extension Schema Reference
  version: 2026-03-v1
  description: |
    Schema reference for Trillboards' proprietary OpenRTB 2.6 bid request extensions.
    This is NOT a bid endpoint specification — it documents the SIGNALS injected
    into every bid request sent to DSPs so engineers can build bidding algorithms
    that leverage Trillboards' unique audience intelligence.

    ## How to Use This Document

    When Trillboards sends a bid request to your DSP, it includes standard OpenRTB 2.6
    fields plus the proprietary extensions documented here. Your bidding algorithm can
    use these signals to bid higher on high-value inventory.

    ## Extension Namespaces

    | Namespace | What It Contains | Freshness |
    |-----------|-----------------|-----------|
    | `ext.trillboards` | Real-time audience signals from FEIN edge AI | 10-30 seconds |
    | `ext.trb.vas` | Verified Attention Seconds (historical quality) | 7-day rolling |
    | `ext.trb.intent` | Purchase intent from speech analysis | 10-30 seconds |
    | `ext.trb.weather` | Contextual weather conditions | 60-minute cache |
    | `ext.trb.foot_traffic` | Venue occupancy and traffic | 10-30 seconds |
    | `ext.trillboards_contract` | Signal quality assurance | Per-request |
    | `user.data[]` | IAB Audience Taxonomy 1.1 segments + seller-defined | 10-30 seconds |

    ## Signal Sources

    - **FEIN Edge AI**: On-device ML Kit (face detection, gaze tracking) + YAMNet TFLite (audio classification). Runs on the CTV tablet, never sends raw audio/video off-device.
    - **VAS Engine**: Verified Attention Seconds computed from historical FEIN measurements, stored in PostgreSQL attention_ledger.
    - **Intent Graph**: Speech-derived purchase intent from YAMNet audio scene classification + keyword detection. On-device only.
    - **Weather Service**: OpenWeatherMap data cached in Redis with 60-minute TTL.
    - **Census ACS**: US Census American Community Survey neighborhood demographics by geohash.

    ## Privacy

    - All audience signals are aggregated/anonymized — no PII in bid requests
    - Face detection counts faces, does NOT identify individuals
    - Emotion analysis uses facial expression classification, NOT facial recognition
    - Audio classification identifies sound TYPES (speech, music, noise), does NOT record or transmit audio
    - All processing happens on-device (edge AI) — raw sensor data never leaves the device
externalDocs:
  description: Executable OpenRTB, VAST, FEIN, OMSDK, and telemetry routes
  url: https://api.trillboards.com/docs/openapi/programmatic-api.yaml

  contact:
    name: Trillboards Developer Support
    email: developers@trillboards.com
  license:
    name: Proprietary

servers:
  - url: https://api.trillboards.com
    description: Production

paths:
  /openrtb/v2/bid:
    post:
      operationId: doohBidRequest
      summary: OpenRTB 2.6 DOOH bid request (outbound to DSPs)
      description: |
        This documents the bid request Trillboards SENDS to DSPs.
        It is included here for schema reference — the actual bid endpoint
        is on the DSP side, not on Trillboards.

        The request body shows the full structure with all extension namespaces.
        For executable Trillboards endpoints, use the Programmatic & FEIN API spec.
      tags: [Bid Request Schema]
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/DOOHBidRequest'
      responses:
        '200':
          description: DSP bid response (standard OpenRTB)

x-related-specs:
  - name: Programmatic & FEIN API
    url: https://api.trillboards.com/docs/openapi/programmatic-api.yaml
    description: Live executable endpoints for bidding, VAST, FEIN, OMSDK, and telemetry

tags:
  - name: Bid Request Schema
    description: OpenRTB 2.6 DOOH bid request with Trillboards extensions

components:
  schemas:
    DOOHBidRequest:
      type: object
      description: Full OpenRTB 2.6 DOOH bid request with all Trillboards extensions
      properties:
        id:
          type: string
          format: uuid
          description: Unique bid request ID
        imp:
          type: array
          items:
            $ref: '#/components/schemas/Impression'
        dooh:
          $ref: '#/components/schemas/DOOHObject'
        device:
          $ref: '#/components/schemas/Device'
        user:
          $ref: '#/components/schemas/User'
        source:
          $ref: '#/components/schemas/Source'
        regs:
          $ref: '#/components/schemas/Regs'
        at:
          type: integer
          enum: [1]
          description: "Auction type. Always 1 (first price)"
        tmax:
          type: integer
          default: 500
          description: Maximum response time in milliseconds
        cur:
          type: array
          items:
            type: string
          default: ["USD"]
        ext:
          $ref: '#/components/schemas/BidRequestExt'

    BidRequestExt:
      type: object
      description: Top-level bid request extensions
      properties:
        protocol:
          type: string
          example: "OpenRTB 2.6"
        trillboards:
          $ref: '#/components/schemas/TrillboardsAudienceExt'
        trb:
          $ref: '#/components/schemas/TrbNamespace'
        trillboards_contract:
          $ref: '#/components/schemas/ContractExt'

    TrillboardsAudienceExt:
      type: object
      description: |
        Real-time audience intelligence from FEIN edge AI sensors.
        Updated every 10-30 seconds. These signals are MEASURED, not estimated.
        Unlike CTV viewability which uses probabilistic models, Trillboards uses
        on-device computer vision (ML Kit) and audio classification (YAMNet TFLite)
        to provide deterministic audience data.
      properties:
        attention_score:
          type: number
          minimum: 0
          maximum: 1
          description: |
            Fraction of detected faces actively looking at the screen.
            0.0 = nobody looking, 1.0 = everyone looking.
            Measured via gaze detection, NOT self-reported or probabilistic.
          example: 0.72
        audience_count:
          type: number
          description: Average number of faces detected during current measurement window
          example: 4.2
        crowd_density:
          type: integer
          description: Peak face count observed in current window (max concurrent viewers)
          example: 8
        ad_receptivity:
          type: number
          minimum: 0
          maximum: 1
          description: |
            Audio-derived venue receptivity score. Quiet/focused environments
            score higher. Based on YAMNet ambient sound classification
            (NOT microphone recording — classifies sound types only).
          example: 0.85
        emotional_engagement:
          type: number
          minimum: 0
          maximum: 1
          description: |
            Composite emotional engagement score from facial expression analysis.
            Higher = more engaged (positive or negative reaction to content).
            Does NOT identify individuals — uses edge-only expression classification.
          example: 0.58
        mood:
          type: string
          description: Dominant venue mood from audio/visual analysis
          enum: [energetic, calm, focused, social, neutral]
          example: "social"
        estimated_occupancy:
          type: integer
          description: Estimated venue occupancy (extrapolated from visible faces + venue capacity)
          example: 25
        avg_dwell_ms:
          type: number
          description: Average time (milliseconds) a face stays in the camera's field of view
          example: 8400
        group_composition:
          type: object
          description: |
            Audience composition breakdown by demographic bucket.
            Derived from facial feature analysis (age range, gender estimation).
            NOT facial recognition — no identity resolution.
          properties:
            adults:
              type: integer
            children:
              type: integer
            seniors:
              type: integer
        screen_engagement:
          type: number
          minimum: 0
          maximum: 1
          description: Combined engagement metric (attention + emotion + dwell)
          example: 0.65
        audience_reaction:
          type: string
          description: Dominant audience reaction to current content
          enum: [positive, neutral, negative, mixed]
          example: "positive"
        signals_age_ms:
          type: integer
          description: |
            Milliseconds since last FEIN measurement update.
            Lower = fresher signals. Typical: 10,000-30,000ms.
            If > 120,000ms, signals may be stale (screen offline or camera occluded).
          example: 15000
        reliability_score:
          type: number
          minimum: 0
          maximum: 1
          description: |
            Screen reliability score from unified telemetry.
            Factors: uptime, heartbeat regularity, GPS accuracy, FEIN measurement frequency.
          example: 0.94
        audience_quality:
          type: number
          minimum: 0
          maximum: 1
          description: |
            Audience data quality score. High = rich FEIN signals with high confidence.
            Low = limited or stale audience data.
          example: 0.87
        screen_quality_composite:
          type: number
          minimum: 0
          maximum: 1
          description: Composite quality score combining reliability + audience quality + geo accuracy
          example: 0.91

    TrbNamespace:
      type: object
      description: Trillboards extension sub-namespaces
      properties:
        vas:
          $ref: '#/components/schemas/VASExt'
        intent:
          $ref: '#/components/schemas/IntentExt'
        weather:
          $ref: '#/components/schemas/WeatherExt'
        foot_traffic:
          $ref: '#/components/schemas/FootTrafficExt'

    VASExt:
      type: object
      description: |
        Verified Attention Seconds — historical attention quality metrics
        for this screen. Based on 7-day rolling data from the attention_ledger.

        VAS = face_count * attention_score * dwell_seconds. It captures the TOTAL
        attention delivered, not just whether someone was present. A screen with
        3 attentive viewers for 10 seconds scores higher than 10 distracted
        viewers for 1 second.
      properties:
        pricing_model:
          type: string
          enum: [vas]
          description: Always "vas" — indicates attention-based pricing is available
        predicted_vas:
          type: number
          description: Predicted VAS for the next impression based on historical patterns
          example: 1.85
        historical_vas_avg:
          type: number
          description: Average VAS over the past 7 days
          example: 1.85
        median_vas:
          type: number
          description: Median VAS (more robust to outliers than mean)
          example: 1.62
        p90_vas:
          type: number
          description: 90th percentile VAS — the quality floor for top 10% of measurements
          example: 3.45
        vas_floor:
          type: number
          description: Minimum VAS threshold for quality-gated pricing
          example: 0.05
        vas_measurements_7d:
          type: integer
          description: Number of VAS measurements in the past 7 days (data density)
          example: 2450
        avg_face_count:
          type: number
          description: Average face count across measurements
          example: 3.2
        avg_attention_score:
          type: number
          minimum: 0
          maximum: 1
          description: Average attention score across measurements
          example: 0.71
        last_measurement:
          type: string
          format: date-time
          description: Timestamp of most recent VAS measurement

    IntentExt:
      type: object
      description: |
        Purchase intent signals derived from ambient audio classification.
        YAMNet TFLite classifies audio SCENES (not speech content) on-device.
        Combined with visual shopping signals (bag detection) and demographic
        context to compute a composite intent score.

        Higher intent_score = audience is more likely to make a purchase.
        DSPs can bid higher when purchase_stage is READY_TO_BUY or COMPARING.
      properties:
        score:
          type: number
          minimum: 0
          maximum: 1
          description: |
            Composite purchase intent score (0-1).
            Weighted combination of verbal intent, brand mentions, price inquiry,
            shopping activity, bag detection, income match, emotion, and engagement.
          example: 0.72
        purchase_stage:
          type: string
          enum: [READY_TO_BUY, COMPARING, CONSIDERING, BROWSING, NONE]
          description: |
            Classified purchase funnel stage based on behavioral signals.
            - READY_TO_BUY: High intent + brand mentions + price inquiry (score >= 0.7)
            - COMPARING: Active comparison shopping (score 0.5-0.7)
            - CONSIDERING: Interest shown but no purchase signals (score 0.3-0.5)
            - BROWSING: Casual browsing, low intent (score 0.1-0.3)
            - NONE: No purchase intent detected (score < 0.1)
          example: "COMPARING"
        categories:
          type: array
          description: Detected product/service interest categories
          items:
            type: object
            properties:
              category:
                type: string
                description: Product/service category name
              source:
                type: string
                description: Signal source (speech, visual, contextual)
              confidence:
                type: number
          example:
            - category: "athletic_apparel"
              source: "speech"
              confidence: 0.82
            - category: "sports_nutrition"
              source: "contextual"
              confidence: 0.65
        brand_mentions:
          type: boolean
          description: Whether brand names were detected in ambient audio
          example: true
        brand_count:
          type: integer
          description: Number of distinct brand mentions detected
          example: 2
        audience_size:
          type: integer
          description: Current audience size (face count) when intent was measured
          example: 4
        should_trigger:
          type: boolean
          description: Whether intent score is high enough to trigger premium ad swap
          example: true

    WeatherExt:
      type: object
      description: |
        Contextual weather data for the screen's location.
        Cached in Redis with 60-minute TTL from OpenWeatherMap.
        DSPs use weather for contextual targeting (e.g., ice cream ads when hot,
        umbrella ads when raining).
      properties:
        temp_f:
          type: number
          description: Current temperature in Fahrenheit
          example: 78.5
        feels_like_f:
          type: number
          description: Feels-like temperature accounting for humidity and wind chill
          example: 82.1
        humidity:
          type: number
          description: Relative humidity percentage (0-100)
          example: 65
        condition:
          type: string
          description: Weather condition description
          example: "partly_cloudy"
        uv_index:
          type: number
          description: UV index (0-11+)
          example: 6
        wind_mph:
          type: number
          description: Wind speed in miles per hour
          example: 8.5
        is_raining:
          type: boolean
          description: Whether it is currently raining at the screen location
          example: false
        temp_segment:
          type: string
          enum: [hot, warm, cool, cold]
          description: |
            Temperature classification for easy targeting:
            - hot: >= 85F
            - warm: 65-84F
            - cool: 45-64F
            - cold: < 45F
          example: "warm"

    FootTrafficExt:
      type: object
      description: |
        Real-time venue foot traffic metrics derived from FEIN audience sensing.
        Higher traffic = more impressions = higher value for advertisers.
      properties:
        current_audience:
          type: integer
          description: Current number of people detected (face count, rounded)
          example: 6
        estimated_occupancy:
          type: integer
          description: Estimated total venue occupancy (extrapolated)
          example: 25
        avg_dwell_seconds:
          type: integer
          description: Average dwell time in seconds
          example: 8
        traffic_tier:
          type: string
          enum: [very_low, low, medium, high, very_high]
          description: |
            Traffic classification for easy targeting:
            - very_high: >= 50 people
            - high: 20-49 people
            - medium: 8-19 people
            - low: 3-7 people
            - very_low: < 3 people
          example: "medium"
        estimated_hourly_impressions:
          type: integer
          description: Projected impressions per hour based on face turnover rate
          example: 180

    ContractExt:
      type: object
      description: |
        Signal quality assurance contract. Tells DSPs how complete and
        reliable the signals in this bid request are. If valid=false,
        some required fields are missing (but the request is still valid OpenRTB).
      properties:
        version:
          type: string
          description: Contract schema version
          example: "2026-03-v1"
        valid:
          type: boolean
          description: Whether all required fields passed validation
          example: true
        required_field_coverage_pct:
          type: number
          description: Percentage of required fields that are present and valid
          example: 95.5
        error_count:
          type: integer
          description: Number of validation errors (missing required fields)
          example: 0
        warning_count:
          type: integer
          description: Number of validation warnings (recommended fields missing)
          example: 2
        errors:
          type: array
          items:
            type: object
            properties:
              field:
                type: string
              message:
                type: string
        warnings:
          type: array
          items:
            type: object
            properties:
              field:
                type: string
              message:
                type: string

    User:
      type: object
      description: |
        User object containing audience taxonomy segments.
        DOOH does not have individual user identification — segments
        represent the aggregate audience at the screen location.
      properties:
        data:
          type: array
          items:
            $ref: '#/components/schemas/UserData'

    UserData:
      type: object
      description: |
        IAB Audience Taxonomy 1.1 segments and seller-defined context segments.
        Three data sources may be present in user.data[]:

        1. **trillboards-audience**: Real-time audience segments from FEIN edge AI
        2. **trillboards-census**: US Census ACS neighborhood demographics
        3. **trillboards-seller-defined**: Seller-defined context segments (venue, traffic, dwell, daypart)
      properties:
        id:
          type: string
          description: Data provider identifier
          enum: [trillboards-audience, trillboards-census, trillboards-seller-defined]
        name:
          type: string
          description: Human-readable data source name
        segment:
          type: array
          items:
            $ref: '#/components/schemas/Segment'
        ext:
          type: object
          properties:
            segtax:
              type: integer
              description: "Segment taxonomy. 4 = IAB Audience Taxonomy 1.1"
              example: 4
            source:
              type: string
              description: Signal source method
              enum: [deterministic, census_acs_2023, seller_defined]
            method:
              type: string
              description: Measurement method used
              enum: [edge_ai_vision, neighborhood_demographics, contextual]

    Segment:
      type: object
      properties:
        id:
          type: string
          description: Segment identifier (IAB taxonomy ID or seller-defined)
        name:
          type: string
          description: Human-readable segment name
        value:
          type: string

    IABSegmentReference:
      type: object
      description: |
        Reference table of IAB Audience Taxonomy 1.1 segment IDs used by Trillboards.

        ### Income Segments
        | ID | Name |
        |-----|------|
        | 1001 | High Income |
        | 1002 | Upper-Middle Income |
        | 1003 | Middle Income |
        | 1004 | Lower-Middle Income |
        | 1005 | Low Income |

        ### Lifestyle Segments
        | ID | Name |
        |-----|------|
        | 2001 | Business Professional |
        | 2002 | Student |
        | 2003 | Fitness Enthusiast |
        | 2004 | Luxury Shopper |
        | 2005 | Tech Savvy |
        | 2006 | Outdoor Active |
        | 2007 | Foodie |
        | 2008 | Health Conscious |
        | 2009 | Parent |
        | 2010 | Commuter |
        | 2011 | Tourist |
        | 2012 | Nightlife |
        | 2013 | Pet Owner |
        | 2014 | Gamer |
        | 2015 | Reader |
        | 2016 | Eco-Conscious |
        | 2017 | Fashion Forward |
        | 2018 | DIY/Home Improvement |
        | 2019 | Music Lover |
        | 2020 | Sports Fan |

        ### Purchase Intent Segments
        | ID | Name |
        |-----|------|
        | 3001 | High Purchase Intent |
        | 3002 | Medium Purchase Intent |
        | 3003 | Low Purchase Intent |

    SellerDefinedSegmentReference:
      type: object
      description: |
        Seller-defined context segments in the `trillboards-seller-defined` data object.
        These are included in `user.data[]` with `ext.segtax` omitted (seller-defined taxonomy).

        ### Venue Segments (trb_vn_*)
        | ID | Name | Matches |
        |-----|------|---------|
        | trb_vn_001 | venue:fitness_gym | gym, fitness, workout, crossfit |
        | trb_vn_002 | venue:restaurant_casual | casual restaurant, diner |
        | trb_vn_003 | venue:restaurant_quick_service | QSR, fast food, takeout |
        | trb_vn_004 | venue:bar_nightlife | bar, nightlife, club, pub, lounge |
        | trb_vn_005 | venue:salon_beauty | salon, beauty, spa |
        | trb_vn_006 | venue:barber_shop | barber |
        | trb_vn_007 | venue:retail_general | retail, shopping, mall |
        | trb_vn_008 | venue:retail_convenience | convenience, gas station |
        | trb_vn_009 | venue:office_lobby | office, cowork, business |
        | trb_vn_010 | venue:healthcare_waiting_room | clinic, medical, hospital, pharmacy |
        | trb_vn_011 | venue:education_campus | campus, college, university, school |
        | trb_vn_012 | venue:hotel_hospitality | hotel, hospitality, resort |
        | trb_vn_013 | venue:transit_hub | transit, station, airport, terminal |
        | trb_vn_014 | venue:entertainment | cinema, theater, arcade, event |
        | trb_vn_015 | venue:residential_common | residential, apartment, condo, lobby |

        ### Geo Segments (trb_geo_*)
        | ID | Name |
        |-----|------|
        | trb_geo_001 | geo:country_us |
        | trb_geo_002 | geo:state_ca |
        | trb_geo_003 | geo:state_ny |
        | trb_geo_004 | geo:state_tx |
        | trb_geo_005 | geo:city_tier_1 |

        ### Traffic Tier Segments (trb_trf_*)
        | ID | Name | Threshold |
        |-----|------|-----------|
        | trb_trf_001 | traffic:very_low | < 3 people |
        | trb_trf_002 | traffic:low | 3-7 people |
        | trb_trf_003 | traffic:medium | 8-19 people |
        | trb_trf_004 | traffic:high | 20-49 people |
        | trb_trf_005 | traffic:very_high | >= 50 people |

        ### Dwell Time Segments (trb_dwl_*)
        | ID | Name | Threshold |
        |-----|------|-----------|
        | trb_dwl_001 | dwell:very_short | < 3 seconds |
        | trb_dwl_002 | dwell:short | 3-7 seconds |
        | trb_dwl_003 | dwell:medium | 7-15 seconds |
        | trb_dwl_004 | dwell:long | > 15 seconds |

        ### Daypart Segments (trb_dpt_*)
        | ID | Name | Hours (UTC) |
        |-----|------|-------------|
        | trb_dpt_001 | daypart:morning | 05:00-10:59 |
        | trb_dpt_002 | daypart:midday | 11:00-13:59 |
        | trb_dpt_003 | daypart:afternoon | 14:00-17:59 |
        | trb_dpt_004 | daypart:evening | 18:00-22:59 |
        | trb_dpt_005 | daypart:late_night | 23:00-04:59 |

        ### Quality Flags (trb_qly_*)
        | ID | Name | Meaning |
        |-----|------|---------|
        | trb_qly_001 | quality:geo_verified | Screen has GPS coordinates |
        | trb_qly_002 | quality:edge_sensed_audience | Real-time FEIN audience data present |
        | trb_qly_003 | quality:floor_defined | Publisher floor price is set |

    Impression:
      type: object
      properties:
        id:
          type: string
        tagid:
          type: string
          description: Screen MongoDB ID
        bidfloor:
          type: number
          description: Floor price in CPM
        bidfloorcur:
          type: string
          default: "USD"
        secure:
          type: integer
          default: 1
        dt:
          type: integer
          description: Estimated fulfillment timestamp (epoch seconds)
        qty:
          type: object
          description: DOOH impression quantity/multiplier (OpenRTB 2.6)
          properties:
            multiplier:
              type: number
              description: Impression multiplier for DOOH audience sizing
            sourcetype:
              type: integer
              enum: [2]
              description: "2 = publisher-provided"
            vendor:
              type: string
              example: "trillboards"
        banner:
          type: object
          properties:
            w:
              type: integer
            h:
              type: integer
            format:
              type: array
              items:
                type: object
                properties:
                  w:
                    type: integer
                  h:
                    type: integer
            pos:
              type: integer
              description: "1 = above the fold (always for DOOH)"
        video:
          type: object
          properties:
            mimes:
              type: array
              items:
                type: string
            minduration:
              type: integer
            maxduration:
              type: integer
            protocols:
              type: array
              items:
                type: integer
            w:
              type: integer
            h:
              type: integer
            startdelay:
              type: integer
            placement:
              type: integer
            linearity:
              type: integer
            skip:
              type: integer

    DOOHObject:
      type: object
      description: OpenRTB 2.6 DOOH object (top-level, replaces site/app)
      properties:
        id:
          type: string
        name:
          type: string
        venuetype:
          type: array
          items:
            type: string
          description: OpenOOH Venue Taxonomy v1.2 IDs
        venuetypetax:
          type: integer
          enum: [1]
          description: "1 = OpenOOH Venue Taxonomy"
        publisher:
          type: object
          properties:
            id:
              type: string
            name:
              type: string
            domain:
              type: string
            cat:
              type: array
              items:
                type: string
        domain:
          type: string
        keywords:
          type: string

    Device:
      type: object
      properties:
        devicetype:
          type: integer
          enum: [8]
          description: "8 = Digital Out of Home (DOOH) per OpenRTB 2.6"
        ua:
          type: string
        make:
          type: string
        model:
          type: string
        os:
          type: string
        osv:
          type: string
        connectiontype:
          type: integer
        w:
          type: integer
        h:
          type: integer
        ifa:
          type: string
          description: Publisher-provided device ID (screen ID) for frequency capping
        ifa_type:
          type: string
          enum: [ppid]
          description: Publisher-provided ID type
        geo:
          type: object
          properties:
            lat:
              type: number
            lon:
              type: number
            type:
              type: integer
              description: "1 = GPS"
            country:
              type: string
            region:
              type: string
            city:
              type: string
            zip:
              type: string
        eids:
          type: array
          description: Extended device identifiers (IAB recommended for DOOH)
          items:
            type: object
            properties:
              source:
                type: string
              uids:
                type: array
                items:
                  type: object
                  properties:
                    id:
                      type: string
                    atype:
                      type: integer
                      description: "501 = publisher-assigned device ID"

    Source:
      type: object
      properties:
        fd:
          type: integer
          description: "1 = exchange is final decision maker"
        tid:
          type: string
          description: Transaction/request ID
        schain:
          type: object
          description: Supply chain transparency
          properties:
            complete:
              type: integer
              description: "1 = all nodes represented"
            nodes:
              type: array
              items:
                type: object
                properties:
                  asi:
                    type: string
                  sid:
                    type: string
                  rid:
                    type: string
                  name:
                    type: string
                  domain:
                    type: string
                  hp:
                    type: integer
            ver:
              type: string

    Regs:
      type: object
      properties:
        coppa:
          type: integer
          default: 0
        gdpr:
          type: integer
          default: 0
          description: DOOH is generally not subject to GDPR (no personal data)