🐦 Twitter Post Details
Viewing enriched Twitter post
📊 Media Metadata
{
"score": 0.3,
"score_components": {
"author": 0.09,
"engagement": 0.0,
"quality": 0.0,
"source": 0.135,
"nlp": 0.05,
"recency": 0.025
},
"scored_at": "2026-03-08T14:26:02.208994",
"import_source": "api_import",
"source_tagged_at": "2026-03-08T14:26:02.209003",
"enriched": true,
"enriched_at": "2026-03-08T14:26:02.209005"
} 🔧 Raw API Response
{
"type": "tweet",
"id": "2030292920155181476",
"url": "https://x.com/omarsar0/status/2030292920155181476",
"twitterUrl": "https://twitter.com/omarsar0/status/2030292920155181476",
"text": "Great read if you are engineering your own agent harness.",
"source": "Twitter for iPhone",
"retweetCount": 30,
"replyCount": 5,
"likeCount": 284,
"quoteCount": 0,
"viewCount": 72372,
"createdAt": "Sat Mar 07 14:42:07 +0000 2026",
"lang": "en",
"bookmarkCount": 516,
"isReply": false,
"inReplyToId": null,
"conversationId": "2030292920155181476",
"displayTextRange": [
0,
57
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "omarsar0",
"url": "https://x.com/omarsar0",
"twitterUrl": "https://twitter.com/omarsar0",
"id": "3448284313",
"name": "elvis",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"description": "",
"location": "DAIR.AI Academy",
"followers": 292680,
"following": 779,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Fri Sep 04 12:59:26 +0000 2015",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 34982,
"hasCustomTimelines": true,
"isTranslator": true,
"mediaCount": 4541,
"statusesCount": 17422,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"2030403147588604376"
],
"profile_bio": {
"description": "Building @dair_ai • Prev: Meta AI, Elastic, PhD • New AI learning portal: https://t.co/1e8RZKs4uX",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "academy.dair.ai",
"expanded_url": "https://academy.dair.ai/",
"indices": [
74,
97
],
"url": "https://t.co/1e8RZKs4uX"
}
],
"user_mentions": [
{
"id_str": "0",
"indices": [
9,
17
],
"name": "",
"screen_name": "dair_ai"
}
]
},
"url": {
"urls": [
{
"display_url": "dair.ai",
"expanded_url": "https://www.dair.ai/",
"indices": [
0,
23
],
"url": "https://t.co/XQto5ypSIk"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"quoted_tweet": {
"type": "tweet",
"id": "2030289894808166866",
"url": "https://x.com/dair_ai/status/2030289894808166866",
"twitterUrl": "https://twitter.com/dair_ai/status/2030289894808166866",
"text": "New research on automatic harness synthesis for LLM agents.\n\nGreat read if you are engineering your own agent harness.\n\nThe agent harness is the scaffolding that lets an agent interact with its environment: tools, code execution, file systems, APIs.\n\nBuilding a good harness is hard and often done manually.\n\nAutoHarness proposes letting agents automatically synthesize their own code harness. Instead of hand-crafting the execution environment, the agent generates the scaffolding it needs to complete a task.\n\nAgent harness engineering is becoming one of the most important skills in AI development. Automating harness creation could dramatically lower the barrier to building effective agents.\n\nPaper: https://t.co/N85XPr1vMp\n\nLearn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c",
"source": "Twitter for iPhone",
"retweetCount": 52,
"replyCount": 16,
"likeCount": 482,
"quoteCount": 3,
"viewCount": 102252,
"createdAt": "Sat Mar 07 14:30:06 +0000 2026",
"lang": "en",
"bookmarkCount": 898,
"isReply": false,
"inReplyToId": null,
"conversationId": "2030289894808166866",
"displayTextRange": [
0,
277
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "dair_ai",
"url": "https://x.com/dair_ai",
"twitterUrl": "https://twitter.com/dair_ai",
"id": "889050642903293953",
"name": "DAIR.AI",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1643277398522187778/31dedbLo_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/889050642903293953/1742055232",
"description": "",
"location": "",
"followers": 91444,
"following": 1,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Sun Jul 23 09:12:45 +0000 2017",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 4223,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 168,
"statusesCount": 2988,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"2030289894808166866"
],
"profile_bio": {
"description": "Democratizing AI research, education, and technologies.",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"url": {
"urls": [
{
"display_url": "dair.ai",
"expanded_url": "https://www.dair.ai/",
"indices": [
0,
23
],
"url": "https://t.co/lkqPZtMmfU"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/1wCRKvqgzy",
"expanded_url": "https://twitter.com/dair_ai/status/2030289894808166866/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"orig": {
"faces": []
}
},
"id_str": "2030289891125608448",
"indices": [
278,
301
],
"media_key": "3_2030289891125608448",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARwtCeYnm8AACgACHC0J5wMbIdIAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHC0J5iebwAAKAAIcLQnnAxsh0gAA",
"media_key": "3_2030289891125608448"
}
},
"media_url_https": "https://pbs.twimg.com/media/HC0J5iebwAA7M_0.png",
"original_info": {
"focus_rects": [
{
"h": 904,
"w": 1614,
"x": 0,
"y": 0
},
{
"h": 1614,
"w": 1614,
"x": 0,
"y": 0
},
{
"h": 1746,
"w": 1532,
"x": 82,
"y": 0
},
{
"h": 1746,
"w": 873,
"x": 567,
"y": 0
},
{
"h": 1746,
"w": 1614,
"x": 0,
"y": 0
}
],
"height": 1746,
"width": 1614
},
"sizes": {
"large": {
"h": 1746,
"w": 1614
}
},
"type": "photo",
"url": "https://t.co/1wCRKvqgzy"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "arxiv.org/abs/2603.03329",
"expanded_url": "https://arxiv.org/abs/2603.03329",
"indices": [
705,
728
],
"url": "https://t.co/N85XPr1vMp"
},
{
"display_url": "academy.dair.ai",
"expanded_url": "https://academy.dair.ai/",
"indices": [
781,
804
],
"url": "https://t.co/LRnpZN7L4c"
}
],
"user_mentions": []
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
},
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
}