MapleAI X Sentiment Analysis is a paid API for AI agents from base.mapleai.shop, paid per call via x402, $0.0335/call, status unknown (last checked 2026-10-11).
Analyzes real-time sentiment on X (Twitter) for a given token, project, or narrative, returning a scored verdict with supporting post evidence
14 chat models (GPT + Claude), 7 image models, and Jev structured decisions. Pay per request in USDC on Base with x402.
Returns a JSON object with a numeric sentiment score (e.g. 0.6), a verdict string (bullish/bearish/neutral), an array of driver phrases, a distribution breakdown of bullish/bearish/neutral post counts, the total number of posts evaluated, and up to max_examples posts each with URL, likes count, stance, and a snippet of the post text.
POSThttps://base.mapleai.shop/v1/x/sentiment?utm_source=zero.xyzChoose this endpoint when you need structured, scored social sentiment on X specifically for crypto tokens, DeFi projects, or web3 narratives — especially when you want evidence posts with engagement metrics and a clear bullish/bearish verdict rather than raw text. Prefer over generic LLM sentiment prompts when you need aggregated distribution data across many posts and pay-per-request economics via x402.
| Field | Type | Description |
|---|---|---|
| topic | string | Token, project or narrative to assess |
| hours_back | integer | |
| max_examples | integer | Evidence posts in the answer; drives the price |
| min_engagement | integer | When > 0, keyword searches use min_faves:N to skip low-engagement noise |
{
"type": "json",
"example": {
"score": 0.6,
"topic": "x402 protocol",
"object": "x.sentiment",
"drivers": [
"agent payments momentum"
],
"verdict": "bullish",
"examples": [
{
"url": "https://x.com/user/status/123",
"likes": 420,
"stance": "bullish",
"snippet": "..."
}
],
"distribution": {
"bearish": 3,
"bullish": 14,
"neutral": 5
},
"posts_evaluated": 22
}
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