Sentiment Analysis Execute

Last 30 days

Uptime

100%

Response time

1.1 s typical, 1.2 s slowest 5%

Last check

15 min ago

Next check

in 16 min

How to call it

# bash or zsh: see the payment challenge (nothing is charged)
curl -g -i -X POST 'https://www.tradepilotusa.com/api/agent-commerce/v1/services/sentiment_analysis/execute' \
  -H 'content-type: application/json' \
  --data-raw '{"audience":"Business operations manager","brief":"Analyze supplied customer-feedback text by topic and expressed sentiment; do not infer personal traits. Use only the supplied fictional example material and clearly identify missing evidence.","source_text":"Fictional source document, section 1: Example Door Company provides residential entry door installation in Dallas. Consultations are available Monday through Friday. Section 2: The operations manager owns consultation scheduling; the installation crew confirms measurements before a final quote. Section 3: The next meeting will review appointment delays; current delay rates and a final project budget have not been supplied. Action: the operations manager will bring scheduling notes to the meeting."}'

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fwww.tradepilotusa.com%2Fapi%2Fagent-commerce%2Fv1%2Fservices%2Fsentiment_analysis%2Fexecute
const res = await pay("https://www.tradepilotusa.com/api/agent-commerce/v1/services/sentiment_analysis/execute", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: "{\"audience\":\"Business operations manager\",\"brief\":\"Analyze supplied customer-feedback text by topic and expressed sentiment; do not infer personal traits. Use only the supplied fictional example material and clearly identify missing evidence.\",\"source_text\":\"Fictional source document, section 1: Example Door Company provides residential entry door installation in Dallas. Consultations are available Monday through Friday. Section 2: The operations manager owns consultation scheduling; the installation crew confirms measurements before a final quote. Section 3: The next meeting will review appointment delays; current delay rates and a final project budget have not been supplied. Action: the operations manager will bring scheduling notes to the meeting.\"}",
});
console.log(await res.json());

Example input

{
  "audience": "Business operations manager",
  "brief": "Analyze supplied customer-feedback text by topic and expressed sentiment; do not infer personal traits. Use only the supplied fictional example material and clearly identify missing evidence.",
  "source_text": "Fictional source document, section 1: Example Door Company provides residential entry door installation in Dallas. Consultations are available Monday through Friday. Section 2: The operations manager owns consultation scheduling; the installation crew confirms measurements before a final quote. Section 3: The next meeting will review appointment delays; current delay rates and a final project budget have not been supplied. Action: the operations manager will bring scheduling notes to the meeting."
}

Example output

{
  "artifact": "Illustrative excerpt from a synthetic provider check:\n## Customer Feedback Analysis by Topic and Sentiment\n\n### Topics Identified\n1. **Service Offering**\n   - Residential entry door installation in Dallas.\n   - Consultations available Monday through Friday.\n\n2. **Operations and Scheduling**\n   - Consultation scheduling managed by the operations manager.\n   - Installation crew confirms measurements prior to final quoting.\n\n3. **Project Management and Delays**\n   - Upcoming meeting to review appointment delays.\n   - Current delay rates and final proj",
  "assumptions": [
    "The operations manager has access to detailed scheduling notes relevant to appointment delays.",
    "Appointment delays are significant enough to warrant a dedicated meeting."
  ],
  "evidence_gaps": [
    "Quantitative data on current appointment delay rates.",
    "Final project budget figures."
  ],
  "provenance": {
    "external_research_performed": false,
    "generated_at": "2026-09-22T14:42:36.270Z",
    "source": "buyer_supplied"
  },
  "request_id": "example_sentiment_analysis",
  "requires_human_review": true,
  "summary": "The feedback details operational procedures for residential door installation, focusing on consultation scheduling and measurement confirmation. A concern about appointment delays is noted, with a mee",
  "task": "sentiment_analysis"
}

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