HubVibe X Pulse — Twitter/X Sentiment & Volume Analytics

x402

HubVibe X Pulse — Twitter/X Sentiment & Volume Analytics is a paid API for AI agents from hubvibe-io.com, paid per call via x402, $0.5/call, status unknown (last checked 2026-10-01).

Returns aggregated Twitter/X post volume (hourly or daily), engagement metrics, language mix, top hashtags, and link/media share rates for any search query over the past 1–7 days — no individual posts or authors exposed.

Price / call$0.5

Seller volume →—

Success—

StatusUnknown

How this service works

Twitter / X sentiment and volume for any topic, as numbers, live: post volume per hour or day over the last 1-7 days, and over a sample of recent posts the engagement totals and rate (likes, reposts, replies, quotes, impressions), language mix, top hashtags and link/media share. Aggregates only: no post text or authors. Input: query (X operators allowed); optional days, granularity, sample, lang.

Output

Returns aggregated time-series post volume (per hour or day), engagement totals and rate (likes, reposts, replies, quotes, impressions) across a sample of recent posts, language distribution, top hashtags, and link/media share percentages. No individual post text or author data is included.

Example use cases

Brand campaign performance tracking

“Can you pull the X engagement stats for 'Nike Air Max launch' over the past 7 days — I want daily post volume, total likes and reposts, and the top hashtags being used around it?”

Viral topic detection for newsroom

“Check X right now for how much buzz 'Silicon Valley Bank' is generating — give me hourly post volume for the last 2 days and the engagement rate so I can tell if it's still climbing.”

Competitor social listening report

“I need an X pulse check on mentions of 'Salesforce CRM' versus 'HubSpot CRM' — run each query for the last 5 days with day granularity, and tell me the language breakdown and top hashtags for each.”

Technical details

Endpoint

POSThttps://hubvibe-io.com/work/social/x_pulse?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need quantified, aggregated Twitter/X signal — post volume trends, engagement rates, hashtag associations, and language distribution — for any keyword, hashtag, or boolean query, without needing access to individual post content. Ideal for brand monitoring, campaign measurement, trend detection, and competitive benchmarking. Prefer over general news APIs when specifically tracking social (not editorial) activity on X/Twitter.

Side effects

Empty results if query matches no recent posts within the time window
Rate limiting or timeout if the X API backend is congested
Invalid query syntax if unsupported X operators are used
Language code not recognized if an invalid ISO 639-1 code is passed
Sample size of 0 may return volume data only with no engagement metrics

Input

Schema · Request body

Field	Type	Description
days	integer
lang	string
query	string
sample	integer
language	string
granularity	string
include_retweets	boolean

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": {
      "as_of": "2026-09-27T08:59:45Z",
      "query": "open source",
      "sample": {
        "read": 20,
        "pages": 1,
        "requested": 20,
        "x_cost_usd": 0.1
      },
      "source": "x-api-v2",
      "volume": {
        "total": 21636,
        "buckets": [
          {
            "end": "2026-09-27T00:00:00.000Z",
            "count": 7200,
            "start": "2026-09-26T00:00:00.000Z"
          }
        ],
        "bucket_count": 4
      },
      "window": {
        "end": "2026-09-27T08:59:45Z",
        "days": 3,
        "start": "2026-09-24T09:00:00Z"
      },
      "checked_at": "2026-09-26T18:00:00Z",
      "engagement": {
        "languages": {
          "en": 20
        },
        "max_likes": 120,
        "mean_likes": 17,
        "posts_read": 20,
        "likes_total": 340,
        "quotes_total": 5,
        "top_hashtags": [
          {
            "tag": "opensource",
            "posts": 4
          }
        ],
        "replies_total": 27,
        "reposts_total": 41,
        "with_links_pct": 40,
        "with_media_pct": 15,
        "bookmarks_total": 12,
        "max_impressions": 18000,
        "mean_impressions": 2560,
        "impressions_total": 51200,
        "with_hashtags_pct": 35,
        "engagement_rate_pct": 0.807,
        "possibly_sensitive_pct": 0
      },
      "granularity": "day",
      "effective_query": "open source lang:en -is:retweet"
    },
    "status": "ok",
    "worker": "social.x_pulse",
    "price_usd": 0.5,
    "provenance": {
      "steps": [
        {
          "ms": 312,
          "ok": true,
          "step": "quote",
          "reason": "provider_timeout",
          "provider": "coinbase-advanced-trade-public"
        }
      ],
      "attempts": 1,
      "elapsed_ms": 340,
      "providers_used": [
        "coinbase-advanced-trade-public"
      ]
    },
    "receipt_id": "rcpt_9f1c2b3a4d5e6f70",
    "attribution": [
      {
        "url": "https://translate.google.com",
        "text": "Translated by Google"
      }
    ],
    "receipt_url": "/work/receipts/rcpt_9f1c2b3a4d5e6f70"
  }
}

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