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Energy Petroleum

by energy-petroleum in Markets & finance

x402 APIPassing, checked 2 h ago

US petroleum prices and stocks from the EIA: retail gasoline and diesel by PADD region (weekly), WTI and Brent crude spot (daily), and weekly crude/gasoline/distillate inventories. Returns latest value, change vs prior period, short history, and a region-vs-US spread.

GET https://api.agentstools.dev/energy/petroleum

Last 30 days

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Status and outage history · Atom feed

Uptime
100%
Response time
28 ms typical, 153 ms slowest 5%
Last check
2 h ago
Next check
any minute now

How to call it

GET https://api.agentstools.dev/energy/petroleum

Each call costs $0.01 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.

GET https://api.agentstools.dev/energy/petroleum?history=8&metric=gas_prices&region=west_coast

Parameters

ParameterTypeRequiredDescription
historyintegerNoNumber of recent data points to include
metricstringNoWhich petroleum series to return (default gas_prices) One of: gas_prices, diesel_prices, crude_wti, crude_brent, crude_stocks, gasoline_stocks, distillate_stocks.
regionstringNoPADD region for retail gasoline/diesel (default us) One of: us, east_coast, midwest, gulf_coast, rocky_mountain, west_coast.

Example response

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

{
  "as_of": "2026-06-29",
  "change": {
    "change": -0.08,
    "change_pct": -1.78
  },
  "latest": {
    "period": "2026-06-29",
    "units": "$/GAL",
    "value": 4.42
  },
  "metric": "gas_prices",
  "region": "west_coast",
  "regional_spread": {
    "spread": 0.59,
    "vs": "us"
  },
  "unit": "$/gal"
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.01.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://api.agentstools.dev/energy/petroleum?history=8&metric=gas_prices&region=west_coast'

# 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 - 'https://api.agentstools.dev/energy/petroleum?history=8&metric=gas_prices&region=west_coast' \
  | 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 $0.01 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.01" });
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 $0.01 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.agentstools.dev%2Fenergy%2Fpetroleum
const res = await pay("https://api.agentstools.dev/energy/petroleum?history=8&metric=gas_prices&region=west_coast");
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 $0.01 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.01"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.get("https://api.agentstools.dev/energy/petroleum?history=8&metric=gas_prices&region=west_coast")
    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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