Table Extract Text Execute

Last 30 days

Uptime

100%

Response time

723 ms typical, 1.1 s slowest 5%

Last check

3 h ago

Next check

any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://www.tradepilotusa.com/api/agent-commerce/v1/services/table_extract_text/execute" \
  -H "content-type: application/json" \
  -d '{"audience":"Business operations manager","brief":"Extract tables present in supplied text into a structured representation; preserve values and flag ambiguous cells. 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%2Ftable_extract_text%2Fexecute
const res = await pay("https://www.tradepilotusa.com/api/agent-commerce/v1/services/table_extract_text/execute", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"audience":"Business operations manager","brief":"Extract tables present in supplied text into a structured representation; preserve values and flag ambiguous cells. 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": "Extract tables present in supplied text into a structured representation; preserve values and flag ambiguous cells. 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## Extracted Tables from Source Text\n\n_No explicit tables were present in the supplied source text. However, the following structured representation is derived from the information given:_\n\n| Section | Topic                          | Details                                                                                     | Ambiguity Flag |\n|---------|--------------------------------|---------------------------------------------------------------------------------------------|----------------",
  "assumptions": [
    "The source text does not contain any hidden or implied tables beyond the narrative sections.",
    "The roles and scheduling information are accurately represented as stated."
  ],
  "evidence_gaps": [
    "No numeric or tabular data on appointment delays or project budgets.",
    "No detailed consultation schedule or installation timeline tables."
  ],
  "provenance": {
    "external_research_performed": false,
    "generated_at": "2026-09-22T14:42:45.464Z",
    "source": "buyer_supplied"
  },
  "request_id": "example_table_extract_text",
  "requires_human_review": true,
  "summary": "The supplied source text contains no explicit tables. A structured summary table was created to organize the narrative information by section, topic, and details. No ambiguous cells were found. Missin",
  "task": "table_extract_text"
}

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