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Mindshare API – X/Twitter Topic Sentiment Analysis
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Mindshare API – X/Twitter Topic Sentiment Analysis is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-14).
Searches recent public X (Twitter) posts for a given topic and returns per-tweet sentiment scores plus an aggregate positive/neutral/negative distribution and average sentiment score.
Price / call$0.008
Success—
StatusUnknown
How this service works
Mindshare API / social mindshare / X conversation share / Twitter sentiment summary. Searches recent public X posts for a topic and returns tweet-level sentiment plus aggregate positive/neutral/negative distribution and average score. Searches recent X posts with sentiment scoring. Read-only; no posting, replying, liking, following, or account mutation.
Output
Returns a list of recent public X posts matching the topic with individual sentiment scores per tweet, plus an aggregate summary showing the percentage distribution across positive, neutral, and negative categories and an overall average sentiment score.
Example use cases
Brand health check on X
“Search recent X posts mentioning 'OpenAI' and give me the sentiment breakdown — what percentage are positive, neutral, or negative, and what's the average score? I want to know how people are feeling about them right now.”
Crypto token social mindshare
“What's the current X sentiment around 'Solana'? Pull recent tweets and tell me the positive/neutral/negative split and the average sentiment score so I can gauge community mood before making a move.”
Product launch reaction monitoring
“Can you check how people on X are reacting to the 'iPhone 16' launch? I want to see tweet-level sentiment and the overall aggregate — positive vs negative distribution and average score.”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/mindshareWhen to prefer
Choose this endpoint when you need real-time social sentiment analysis specifically from X/Twitter — not just raw tweet text but structured per-tweet sentiment scores plus an aggregate distribution. It is ideal for brand monitoring, crypto/asset social mindshare tracking, event reaction analysis, or any use case where you need a quantitative positive/neutral/negative breakdown of current public X conversation around a topic. Prefer it over generic web search when you specifically need Twitter/X data with sentiment scoring already computed.
Side effects
- Topic returns no recent public tweets — empty result set
- X API rate limits or access restrictions cause partial or failed retrieval
- Ambiguous or overly broad query terms return noisy, low-relevance tweets
- Payment failure (insufficient USDC balance) prevents the call from completing
- Network timeout if X search backend is slow to respond
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "x402 payments",
"source": "X API v2 recent search + local sentiment lexicon",
"distribution": {
"neutral": 11,
"negative": 2,
"positive": 7
},
"result_count": 20,
"average_score": 0.18,
"overall_sentiment": "positive"
}
}Tags
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