🐦 Twitter Post Details

Viewing enriched Twitter post

📊 Media Metadata

{
  "score": 0.36,
  "score_components": {
    "author": 0.09,
    "engagement": 0.0,
    "quality": 0.06000000000000001,
    "source": 0.135,
    "nlp": 0.05,
    "recency": 0.025
  },
  "scored_at": "2026-03-10T20:22:55.999541",
  "import_source": "api_import",
  "source_tagged_at": "2026-03-10T20:22:55.999552",
  "enriched": true,
  "enriched_at": "2026-03-10T20:22:55.999554"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2031463067369025857",
  "url": "https://x.com/Scobleizer/status/2031463067369025857",
  "twitterUrl": "https://twitter.com/Scobleizer/status/2031463067369025857",
  "text": "RT @GoogleAIStudio: https://t.co/mIXzM657cR",
  "source": "Twitter for iPhone",
  "retweetCount": 234,
  "replyCount": 48,
  "likeCount": 2897,
  "quoteCount": 59,
  "viewCount": 214232,
  "createdAt": "Tue Mar 10 20:11:52 +0000 2026",
  "lang": "zxx",
  "bookmarkCount": 1813,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2031463067369025857",
  "displayTextRange": [
    0,
    43
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "Scobleizer",
    "url": "https://x.com/Scobleizer",
    "twitterUrl": "https://twitter.com/Scobleizer",
    "id": "13348",
    "name": "Robert Scoble",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1915614118876504066/zVnfpAMf_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/13348/1765416783",
    "description": "",
    "location": "My Free Newsletter 👉",
    "followers": 565911,
    "following": 39655,
    "status": "",
    "canDm": true,
    "canMediaTag": false,
    "createdAt": "Mon Nov 20 23:43:44 +0000 2006",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 579520,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 6259,
    "statusesCount": 240842,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "2031381124405195249"
    ],
    "profile_bio": {
      "description": "San Francisco/Silicon Valley AI | Robots, holodecks, BCIs, analysis of new things | Ex-Microsoft, Rackspace, Fast Company | Wrote eight books about the future.",
      "entities": {
        "description": {
          "hashtags": [],
          "symbols": [],
          "urls": [],
          "user_mentions": []
        },
        "url": {
          "urls": [
            {
              "display_url": "unaligned.io/subscribe",
              "expanded_url": "http://unaligned.io/subscribe",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/YVCwrHlZ0x"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {},
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "timestamps": [],
    "urls": [
      {
        "display_url": "x.com/i/article/2031…",
        "expanded_url": "http://x.com/i/article/2031415977049731077",
        "indices": [
          20,
          43
        ],
        "url": "https://t.co/mIXzM657cR"
      }
    ],
    "user_mentions": [
      {
        "id_str": "1742923424056713217",
        "indices": [
          3,
          18
        ],
        "name": "Google AI Studio",
        "screen_name": "GoogleAIStudio"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": {
    "type": "tweet",
    "id": "2031421162123870239",
    "url": "https://x.com/GoogleAIStudio/status/2031421162123870239",
    "twitterUrl": "https://twitter.com/GoogleAIStudio/status/2031421162123870239",
    "text": "https://t.co/mIXzM657cR",
    "source": "Twitter for iPhone",
    "retweetCount": 234,
    "replyCount": 48,
    "likeCount": 2897,
    "quoteCount": 59,
    "viewCount": 214232,
    "createdAt": "Tue Mar 10 17:25:21 +0000 2026",
    "lang": "zxx",
    "bookmarkCount": 1813,
    "isReply": false,
    "inReplyToId": null,
    "conversationId": "2031421162123870239",
    "displayTextRange": [
      0,
      23
    ],
    "inReplyToUserId": null,
    "inReplyToUsername": null,
    "author": {
      "type": "user",
      "userName": "GoogleAIStudio",
      "url": "https://x.com/GoogleAIStudio",
      "twitterUrl": "https://twitter.com/GoogleAIStudio",
      "id": "1742923424056713217",
      "name": "Google AI Studio",
      "isVerified": false,
      "isBlueVerified": false,
      "verifiedType": "Business",
      "profilePicture": "https://pbs.twimg.com/profile_images/1957558782067896323/6jXpPKD4_normal.png",
      "coverPicture": "https://pbs.twimg.com/profile_banners/1742923424056713217/1773068211",
      "description": "",
      "location": "It's time to build",
      "followers": 121218,
      "following": 2,
      "status": "",
      "canDm": true,
      "canMediaTag": true,
      "createdAt": "Thu Jan 04 14:58:26 +0000 2024",
      "entities": {
        "description": {
          "urls": []
        },
        "url": {}
      },
      "fastFollowersCount": 0,
      "favouritesCount": 153,
      "hasCustomTimelines": true,
      "isTranslator": false,
      "mediaCount": 40,
      "statusesCount": 88,
      "withheldInCountries": [],
      "affiliatesHighlightedLabel": {},
      "possiblySensitive": false,
      "pinnedTweetIds": [],
      "profile_bio": {
        "description": "The fastest path from prompt to production with Gemini",
        "entities": {
          "description": {
            "hashtags": [],
            "symbols": [],
            "urls": [],
            "user_mentions": []
          },
          "url": {
            "urls": [
              {
                "display_url": "ai.studio/build",
                "expanded_url": "https://ai.studio/build",
                "indices": [
                  0,
                  23
                ],
                "url": "https://t.co/dp8FrcqyIA"
              }
            ]
          }
        }
      },
      "isAutomated": false,
      "automatedBy": null
    },
    "extendedEntities": {},
    "card": null,
    "place": {},
    "entities": {
      "hashtags": [],
      "symbols": [],
      "timestamps": [],
      "urls": [
        {
          "display_url": "x.com/i/article/2031…",
          "expanded_url": "http://x.com/i/article/2031415977049731077",
          "indices": [
            0,
            23
          ],
          "url": "https://t.co/mIXzM657cR"
        }
      ],
      "user_mentions": []
    },
    "quoted_tweet": null,
    "retweeted_tweet": null,
    "isLimitedReply": false,
    "article": {
      "title": "Gemini Embedding 2: Our first natively multimodal embedding model",
      "preview_text": "Gemini Embedding 2 is our first natively multimodal embedding model that maps text, images, video, audio and documents into a single embedding space, enabling multimodal retrieval and classification",
      "cover_media_img_url": "https://pbs.twimg.com/media/HDEOl73a0AAqw4G.jpg"
    }
  },
  "isLimitedReply": false,
  "article": null
}