MapleAI X Media Search — Twitter/X Visual Content Analysis

x402

MapleAI X Media Search — Twitter/X Visual Content Analysis is a paid API for AI agents from base.mapleai.shop, paid per call via x402, $0.037/call, status unknown (last checked 2026-10-10).

Searches Twitter/X posts by query and analyzes their embedded images or videos using AI vision, returning descriptions, engagement stats, and relevance scores.

Price / call$0.037

Seller volume →—

Success—

StatusUnknown

How this service works

14 chat models (GPT + Claude), 7 image models, and Jev structured decisions. Pay per request in USDC on Base with x402.

Output

A JSON array of analyzed posts, each containing the tweet URL, like count, detected media type, an AI-generated description of the image or video content, and a relevance explanation tying the visual back to the search query.

Example use cases

Track visual evidence of product launch buzz

“Search X for the latest posts about the 'GPT-5 release' from the past 24 hours, look at up to 8 image posts, and tell me what the visuals are showing — I want to see what people are actually sharing.”

Monitor competitor brand sentiment via images

“Find the top-engagement tweets mentioning 'Coinbase wallet' over the last 72 hours that have images, analyze up to 12 of them, and summarize what those images are depicting.”

Gather chart evidence for a market research report

“Pull the most liked posts on X about 'DeFi TVL growth' from the last week, analyze up to 15 posts with images only, and describe each chart or graph you find — I'm building a report.”

Technical details

Endpoint

POSThttps://base.mapleai.shop/v1/x/media?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need AI-interpreted visual content from Twitter/X posts — not just text — for a given search topic. It's uniquely suited for trend monitoring, brand tracking, or evidence gathering where the images or videos in tweets carry the signal. Prefer it over generic web search when you specifically need social media visual content with engagement context (likes) and AI-generated image descriptions.

Side effects

Query returns no matching posts with media — empty results array
hours_back or max_results out of allowed range — validation error
Payment not processed via x402 — 402 Payment Required response
Query too long (>500 chars) — schema validation error
X/Twitter API rate limits or access issues causing upstream failure

Input

Schema · Request body

Field	Type	Description
mode	string	top = highest-engagement posts, latest = freshest
query	string
hours_back	integer
media_type	string	Which media understanding to enable (image is cheapest)
max_results	integer	Posts analyzed; drives the price

Output

Schema · Response

{
  "type": "json",
  "example": {
    "object": "x.media",
    "results": [
      {
        "url": "https://x.com/user/status/123",
        "likes": 920,
        "relevance": "Shows adoption growth asked about",
        "media_type": "image",
        "description": "Line chart of daily transactions, rising from 2M to 6M"
      }
    ]
  }
}

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