{
  "$schema": "/schemas/3.0.19/content-standards/get-media-buy-artifacts-response.json",
  "media_buy_id": "mb_nike_reddit_q1",
  "artifacts": [
    {
      "record_id": "imp_12345",
      "timestamp": "2025-01-15T10:30:00Z",
      "package_id": "pkg_feed_standard",
      "artifact": {
        "property_rid": "01916f3a-a1d3-7000-8000-000000000040",
        "artifact_id": "r_fitness_abc123",
        "assets": [
          {"type": "text", "role": "title", "content": "Best protein sources for muscle building", "language": "en"},
          {"type": "text", "role": "paragraph", "content": "Looking for recommendations on high-quality protein sources for recovery", "language": "en"},
          {"type": "image", "url": "https://cdn.reddit.com/fitness-image.jpg", "alt_text": "Person lifting weights"}
        ]
      },
      "country": "US",
      "channel": "social",
      "brand_context": {"brand_id": "nike_global", "sku_id": "air_max_2025"},
      "local_verdict": "pass"
    },
    {
      "record_id": "imp_12346",
      "timestamp": "2025-01-15T10:35:00Z",
      "package_id": "pkg_feed_standard",
      "artifact": {
        "property_rid": "01916f3a-a1d3-7000-8000-000000000040",
        "artifact_id": "r_news_politics_456",
        "assets": [
          {"type": "text", "role": "title", "content": "Election Results Analysis", "language": "en"},
          {"type": "text", "role": "paragraph", "content": "The latest polling data shows a tight race between candidates", "language": "en"}
        ]
      },
      "country": "US",
      "channel": "social",
      "brand_context": {"brand_id": "nike_global", "sku_id": "air_max_2025"},
      "local_verdict": "fail"
    }
  ],
  "collection_info": {
    "total_deliveries": 100000,
    "total_collected": 1000,
    "returned_count": 1000,
    "effective_rate": 0.01
  },
  "pagination": {
    "cursor": "eyJvZmZzZXQiOjEwMDB9",
    "has_more": true
  }
}

# Get artifacts from seller (sampling was configured at buy creation time)
artifacts_response = seller_agent.get_media_buy_artifacts(
    media_buy_id="mb_nike_reddit_q1"
)

# Convert to validation records
records = [
    {
        "record_id": a["record_id"],
        "timestamp": a["timestamp"],
        "media_buy_id": artifacts_response["media_buy_id"],
        "artifact": a["artifact"],
        "country": a.get("country"),
        "channel": a.get("channel"),
        "brand_context": a.get("brand_context")
    }
    for a in artifacts_response["artifacts"]
]

# Validate against verification agent
validation = verification_agent.validate_content_delivery(
    standards_id="nike_brand_safety",
    records=records
)

# Check for drift between local and verified verdicts
for i, result in enumerate(validation["results"]):
    local = artifacts_response["artifacts"][i]["local_verdict"]
    verified = result["verdict"]
    if local != verified:
        print(f"Drift detected: {result['record_id']} - local={local}, verified={verified}")

# Get only artifacts that failed local evaluation
failures = seller_agent.get_media_buy_artifacts(
    media_buy_id="mb_nike_reddit_q1",
    failures_only=True,
    pagination={"max_results": 100}
)

# Verify these were correctly flagged
validation = verification_agent.validate_content_delivery(
    standards_id="nike_brand_safety",
    records=[{"record_id": a["record_id"], "artifact": a["artifact"]}
             for a in failures["artifacts"]]
)

# Check false positive rate
false_positives = sum(1 for r in validation["results"] if r["verdict"] == "pass")
print(f"False positive rate: {false_positives / len(failures['artifacts']):.1%}")

{
  "record_id": "imp_podcast_001",
  "timestamp": "2025-02-10T08:00:00Z",
  "package_id": "pkg_mid_roll",
  "artifact": {
    "property_id": {"type": "apple_podcast_id", "value": "1234567890"},
    "artifact_id": "episode_42_segment_3",
    "assets": [
      {"type": "text", "role": "title", "content": "The Future of Running Shoes", "language": "en"},
      {"type": "audio", "url": "https://cdn.example.com/secured/ep42_seg3.mp3", "transcript": "Today we're talking to Dr. Chen about biomechanics research and how it's changing shoe design for marathon runners...", "duration_ms": 480000}
    ],
    "metadata": {
      "json_ld": [{"@type": "PodcastEpisode", "episodeNumber": 42, "name": "The Future of Running Shoes"}]
    }
  },
  "country": "US",
  "channel": "podcast",
  "brand_context": {"brand_id": "nike_global", "sku_id": "vaporfly_next"},
  "local_verdict": "pass"
}

{
  "record_id": "imp_ctv_001",
  "timestamp": "2025-02-10T20:15:00Z",
  "package_id": "pkg_premium_ctv",
  "artifact": {
    "property_id": {"type": "app_id", "value": "com.streamingservice.tv"},
    "artifact_id": "show_running_s2e5_scene_14",
    "assets": [
      {"type": "text", "role": "title", "content": "Championship Race - Final Stretch", "language": "en"},
      {"type": "video", "url": "https://cdn.streaming.example.com/secured/s2e5_scene14.mp4", "transcript": "The runners round the final corner as the crowd erupts. Commentary: 'And she's pulling ahead now, this is going to be close...'", "duration_ms": 120000}
    ]
  },
  "country": "US",
  "channel": "ctv",
  "brand_context": {"brand_id": "nike_global"},
  "local_verdict": "pass"
}

{
  "record_id": "imp_ai_001",
  "timestamp": "2025-02-10T14:22:00Z",
  "package_id": "pkg_conversational",
  "artifact": {
    "property_id": {"type": "domain", "value": "chat.example.com"},
    "artifact_id": "session_x7k9_turn_15",
    "assets": [
      {"type": "text", "role": "paragraph", "content": "Based on your training schedule, I'd recommend increasing your long run distance by 10% each week. Here's a 12-week half-marathon plan...", "language": "en"}
    ]
  },
  "country": "GB",
  "channel": "display",
  "brand_context": {"brand_id": "nike_global", "sku_id": "pegasus_41"},
  "local_verdict": "unevaluated"
}