Entity Extract
by NetIntel in Search & web
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.
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
Reliability
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
| Parameter | Type | Required | Description |
|---|---|---|---|
text | string | Yes | The text to extract named entities from — an article, email, document, or any unstructured text. Max 10000 words or 50KB. |
types | array of string | No | Optional 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 --decodeJavaScript: 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
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 2 h ago | Passed | 402 | 184 ms | $0.05 |
| 6 h ago | Passed | 402 | 262 ms | $0.05 |
| 10 h ago | Passed | 402 | 184 ms | $0.05 |
| 14 h ago | Passed | 402 | 183 ms | $0.05 |
| 19 h ago | Passed | 402 | 181 ms | $0.05 |
Show 10 older checks
| 23 h ago | Passed | 402 | 251 ms | $0.05 |
| 27 h ago | Passed | 402 | 182 ms | $0.05 |
| 31 h ago | Passed | 402 | 182 ms | $0.05 |
| 36 h ago | Passed | 402 | 254 ms | $0.05 |
| 40 h ago | Passed | 402 | 319 ms | $0.05 |
| 44 h ago | Passed | 402 | 182 ms | $0.05 |
| 2 days ago | Passed | 402 | 294 ms | $0.05 |
| 2 days ago | Passed | 402 | 307 ms | $0.05 |
| 2 days ago | Passed | 402 | 184 ms | $0.05 |
| 2 days ago | Passed | 402 | 292 ms | $0.05 |