82trust / 100

Entity Extract

by NetIntel in Search & web

x402 APIPassing, checked 2 h ago

Extract named entities from text using Claude Haiku — people, organizations, locations, dates, emails, URLs, money amounts, and products — returned as structured typed arrays so agents can pull structured signals out of unstructured text in one call.

POST
https://netintel.dev/entity-extract
Price
$0.05
per call in USDC
Uptime
100%
last 30 days
Response time
190 ms
340 ms slowest 5%
Last check
Passed
2 h ago, next any minute now

Run a free test callHow to call it

Reliability

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Status and outage history · Atom feed · Watch with other listings

How to call it

POST https://netintel.dev/entity-extract

Each call costs $0.05 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

POST https://netintel.dev/entity-extract
content-type: application/json

{
  "text": "Jane Doe and John Smith from Acme Corp met in San Francisco on 2024-03-15 to discuss WidgetPro. Contact [email protected] or visit https://acme.com — the deal was worth $1.2M."
}

Parameters

ParameterTypeRequiredDescription
textstringYesThe text to extract named entities from — an article, email, document, or any unstructured text. Max 10000 words or 50KB.
typesarray of stringNoOptional subset of entity types to extract: person, organization, location, date, email, url, money, product, phone. Defaults to all types.

Example response

The provider's example. We can't check it without paying.

Example response, 45 lines
{
  "entities": {
    "date": [
      "2024-03-15"
    ],
    "email": [
      "[email protected]"
    ],
    "location": [
      "San Francisco"
    ],
    "money": [
      "$1.2M"
    ],
    "organization": [
      "Acme Corp"
    ],
    "person": [
      "Jane Doe",
      "John Smith"
    ],
    "phone": [],
    "product": [
      "WidgetPro"
    ],
    "url": [
      "https://acme.com"
    ]
  },
  "findings": [],
  "grade": "A",
  "score": 100,
  "total_entities": 9,
  "types_extracted": [
    "person",
    "organization",
    "location",
    "date",
    "email",
    "url",
    "money",
    "product",
    "phone"
  ]
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.05.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://netintel.dev/entity-extract' \
  -H 'content-type: application/json' \
  --data-raw '{"text":"Jane Doe and John Smith from Acme Corp met in San Francisco on 2024-03-15 to discuss WidgetPro. Contact [email protected] or visit https://acme.com \u2014 the deal was worth $1.2M."}'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - -X POST 'https://netintel.dev/entity-extract' \
  -H 'content-type: application/json' \
  --data-raw '{"text":"Jane Doe and John Smith from Acme Corp met in San Francisco on 2024-03-15 to discuss WidgetPro. Contact [email protected] or visit https://acme.com \u2014 the deal was worth $1.2M."}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.05 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.05" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.05 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fnetintel.dev%2Fentity-extract&method=POST
const res = await pay("https://netintel.dev/entity-extract", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "text": "Jane Doe and John Smith from Acme Corp met in San Francisco on 2024-03-15 to discuss WidgetPro. Contact [email protected] or visit https://acme.com \u2014 the deal was worth $1.2M."
  }),
});
console.log(res.status, await res.text());
Python: pay and call
# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.05 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.05"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://netintel.dev/entity-extract",
        json={
            "text": "Jane Doe and John Smith from Acme Corp met in San Francisco on 2024-03-15 to discuss WidgetPro. Contact [email protected] or visit https://acme.com \u2014 the deal was worth $1.2M.",
        },
    )
    print(res.status_code, res.text)

Security scan

No findings

We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

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2 h agoPassed402184 ms$0.05
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