Sentiment Analysis
/ai/sentiment-analysisAccess X data through superagnt: Sentiment Analysis. Analyze text to determine if the emotional tone of the message is positive, negative, or neutral. Responses are structured JSON for AI agents, analytics, and automation — one API key instead of juggling upstream accounts. Ideal when you need tweets, user profiles, followers, search, and hashtag streams programmatically.
Call it over REST
Authenticate with a bearer token against https://api.superagnt.com. Swap the placeholders for your key and parameter values.
curl -s "https://api.superagnt.com/ai/sentiment-analysis?text=<text>" \
-H "Authorization: Bearer <YOUR_AGNTDATA_API_KEY>"Copy-paste prompt
Paste this into a coding agent. It connects the superagnt MCP server, finds the tool data_x_sentiment_analysis_get_ai_sentiment_analysis, and runs a first call — with the REST fallback if MCP is unavailable.
You are wiring up the superagnt "X (Twitter)" API to use this endpoint: Sentiment Analysis.
1. CONNECT over MCP (preferred). No token to paste either way.
On Claude (claude.ai, the desktop app, or Claude Code signed in with a Claude
account), the server is a connector: give the user this link, they click Add
and approve:
https://claude.ai/customize/connectors/yours?modal=add-custom-connector&connectorName=superagnt&connectorUrl=https%3A%2F%2Fmcp.superagnt.com%2Fmcp&open_in_browser=1
Any other MCP client (or Claude Code signed in with an API key): add the server
and let the client run the browser sign-in:
claude mcp add --scope user --transport http superagnt https://mcp.superagnt.com/mcp
claude mcp login superagnt
MCP endpoint: https://mcp.superagnt.com/mcp
After connecting, the tool you want is named exactly:
data_x_sentiment_analysis_get_ai_sentiment_analysis
Call agnt_tools_search or agnt_tools_list_enabled to confirm it is available.
2. REST fallback (if you are not using MCP):
GET https://api.superagnt.com/ai/sentiment-analysis
Header: Authorization: Bearer <YOUR_AGNTDATA_API_KEY>
Required parameters:
- text (string, required)
Optional parameters:
- (none)
3. COST & KEY. Each successful call costs $0.005 in credits. Only successful calls are charged.
Get a superagnt API key at https://app.superagnt.com.
4. TEST. Connect the server (or set the key), discover the tool
(data_x_sentiment_analysis_get_ai_sentiment_analysis), run one minimal call with just the required parameters,
and report back the shape of the JSON response (top-level fields).
Reference (machine-readable variant): https://www.superagnt.com/docs/apis/social/x/endpoints/Sentiment_Analysis_get__ai_sentiment_analysis.md{
"name": "sentiment_analysis_get_ai_sentiment_analysis",
"description": "Analyze text to determine if the emotional tone of the message is positive, negative, or neutral.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "query parameter",
"default": "You can not be a platform that allows almost every opinion to be aired and lose traffic. People want to share their opinion on platforms they know freedom of speech exists to a very large extent. I get 99% of my news here on X, which is like days ahead of traditional media."
}
},
"required": [
"text"
]
}
}| Name | In | Type | Required | Description |
|---|---|---|---|---|
text | query | string | required |
200
{
"type": "object",
"properties": {
"text": {
"type": "string"
},
"hash": {
"type": "string"
},
"trace_id": {
"type": "string"
},
"sentiment": {
"type": "object",
"properties": {
"value": {
"type": "string"
},
"confidence": {
"type": "number"
}
}
},
"elapsed_time": {
"type": "number"
}
}
}Credits are deducted from your superagnt balance on each successful call. Failed requests (4xx/5xx) are not charged.
Get started at app.superagnt.com.
start calling
Point your client at https://mcp.superagnt.com/mcp and your agent has this endpoint, plus every other source on one balance.