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sentiment-analysis · x402.agentindex.world

Sentiment analysis

Classify text as positive, negative, or neutral with a confidence score and an alternate label. Powered by Jev, with an automatic Groq-hosted LLM fallback if Jev is slow or unavailable ("engine":"jev"|"fallback" in the response) - under 4.5s guaranteed. Try GET /sentiment/sample.

Ready now3 calls · 3 buyers in 30 days

Input

Text to classify, up to 4000 characters.

Sample response

Published by the provider. Your run returns a fresh response.

response6 keys
alternate_label"neutral"
alternate_probability0.05
engine"jev"
input"It works well overall, just wish the battery lasted longer."
label"positive"
probability0.93
responseobject, 6 keys
Your agent can do this on its own
Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp
Terminalbash
claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days
3
Buyers, last 30 days
3
Last paid call

Reported by the x402 directory.

A$0.0029 per call