curl --request POST \
--url https://api.gpuoutlet.ai/v1/radar/submissions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"title": "<string>",
"gpu_model": "<string>",
"gpu_count": 36,
"gpu_memory_gb": 1024,
"cpu_model": "<string>",
"cpu_sockets": 8,
"ram_gb": 8192,
"ram_type": "<string>",
"storage_tb": 2048,
"storage_type": "<string>",
"interconnect": "<string>",
"network_uplink": "<string>",
"os": "<string>",
"spec_summary": "<string>",
"quantity_available": 1,
"price_per_hour_cents": 500000,
"region": "<string>",
"available_from": "2023-11-07T05:31:56Z",
"duration_min": "<string>",
"duration_max": "<string>"
}
'import requests
url = "https://api.gpuoutlet.ai/v1/radar/submissions"
payload = {
"title": "<string>",
"gpu_model": "<string>",
"gpu_count": 36,
"gpu_memory_gb": 1024,
"cpu_model": "<string>",
"cpu_sockets": 8,
"ram_gb": 8192,
"ram_type": "<string>",
"storage_tb": 2048,
"storage_type": "<string>",
"interconnect": "<string>",
"network_uplink": "<string>",
"os": "<string>",
"spec_summary": "<string>",
"quantity_available": 1,
"price_per_hour_cents": 500000,
"region": "<string>",
"available_from": "2023-11-07T05:31:56Z",
"duration_min": "<string>",
"duration_max": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
title: '<string>',
gpu_model: '<string>',
gpu_count: 36,
gpu_memory_gb: 1024,
cpu_model: '<string>',
cpu_sockets: 8,
ram_gb: 8192,
ram_type: '<string>',
storage_tb: 2048,
storage_type: '<string>',
interconnect: '<string>',
network_uplink: '<string>',
os: '<string>',
spec_summary: '<string>',
quantity_available: 1,
price_per_hour_cents: 500000,
region: '<string>',
available_from: '2023-11-07T05:31:56Z',
duration_min: '<string>',
duration_max: '<string>'
})
};
fetch('https://api.gpuoutlet.ai/v1/radar/submissions', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.gpuoutlet.ai/v1/radar/submissions",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'title' => '<string>',
'gpu_model' => '<string>',
'gpu_count' => 36,
'gpu_memory_gb' => 1024,
'cpu_model' => '<string>',
'cpu_sockets' => 8,
'ram_gb' => 8192,
'ram_type' => '<string>',
'storage_tb' => 2048,
'storage_type' => '<string>',
'interconnect' => '<string>',
'network_uplink' => '<string>',
'os' => '<string>',
'spec_summary' => '<string>',
'quantity_available' => 1,
'price_per_hour_cents' => 500000,
'region' => '<string>',
'available_from' => '2023-11-07T05:31:56Z',
'duration_min' => '<string>',
'duration_max' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.gpuoutlet.ai/v1/radar/submissions"
payload := strings.NewReader("{\n \"title\": \"<string>\",\n \"gpu_model\": \"<string>\",\n \"gpu_count\": 36,\n \"gpu_memory_gb\": 1024,\n \"cpu_model\": \"<string>\",\n \"cpu_sockets\": 8,\n \"ram_gb\": 8192,\n \"ram_type\": \"<string>\",\n \"storage_tb\": 2048,\n \"storage_type\": \"<string>\",\n \"interconnect\": \"<string>\",\n \"network_uplink\": \"<string>\",\n \"os\": \"<string>\",\n \"spec_summary\": \"<string>\",\n \"quantity_available\": 1,\n \"price_per_hour_cents\": 500000,\n \"region\": \"<string>\",\n \"available_from\": \"2023-11-07T05:31:56Z\",\n \"duration_min\": \"<string>\",\n \"duration_max\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.gpuoutlet.ai/v1/radar/submissions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"title\": \"<string>\",\n \"gpu_model\": \"<string>\",\n \"gpu_count\": 36,\n \"gpu_memory_gb\": 1024,\n \"cpu_model\": \"<string>\",\n \"cpu_sockets\": 8,\n \"ram_gb\": 8192,\n \"ram_type\": \"<string>\",\n \"storage_tb\": 2048,\n \"storage_type\": \"<string>\",\n \"interconnect\": \"<string>\",\n \"network_uplink\": \"<string>\",\n \"os\": \"<string>\",\n \"spec_summary\": \"<string>\",\n \"quantity_available\": 1,\n \"price_per_hour_cents\": 500000,\n \"region\": \"<string>\",\n \"available_from\": \"2023-11-07T05:31:56Z\",\n \"duration_min\": \"<string>\",\n \"duration_max\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gpuoutlet.ai/v1/radar/submissions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"title\": \"<string>\",\n \"gpu_model\": \"<string>\",\n \"gpu_count\": 36,\n \"gpu_memory_gb\": 1024,\n \"cpu_model\": \"<string>\",\n \"cpu_sockets\": 8,\n \"ram_gb\": 8192,\n \"ram_type\": \"<string>\",\n \"storage_tb\": 2048,\n \"storage_type\": \"<string>\",\n \"interconnect\": \"<string>\",\n \"network_uplink\": \"<string>\",\n \"os\": \"<string>\",\n \"spec_summary\": \"<string>\",\n \"quantity_available\": 1,\n \"price_per_hour_cents\": 500000,\n \"region\": \"<string>\",\n \"available_from\": \"2023-11-07T05:31:56Z\",\n \"duration_min\": \"<string>\",\n \"duration_max\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"title": "<string>",
"gpu_model": "<string>",
"gpu_count": 123,
"gpu_memory_gb": 123,
"cpu_model": "<string>",
"cpu_sockets": 123,
"ram_gb": 123,
"ram_type": "<string>",
"storage_tb": 123,
"storage_type": "<string>",
"interconnect": "<string>",
"network_uplink": "<string>",
"os": "<string>",
"spec_summary": "<string>",
"quantity_available": 123,
"currency": "usd",
"price_per_hour_cents": 123,
"region": "<string>",
"available_from": "2023-11-07T05:31:56Z",
"duration_min": "<string>",
"duration_max": "<string>",
"auction": {
"lot_id": "<string>",
"format": "open",
"ends_at": "2023-11-07T05:31:56Z",
"reserve_cents": 123,
"currency": "<string>",
"bid_count": 123,
"current_bid_cents": 123
},
"status": "pending",
"rejection_reason": "<string>",
"listed": true,
"created_at": "2023-11-07T05:31:56Z"
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}Propose a node
Reviewed by the team before any buyer sees it. Only title is required. Requires radar:write. Answers 404 while submissions are closed on this environment.
curl --request POST \
--url https://api.gpuoutlet.ai/v1/radar/submissions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"title": "<string>",
"gpu_model": "<string>",
"gpu_count": 36,
"gpu_memory_gb": 1024,
"cpu_model": "<string>",
"cpu_sockets": 8,
"ram_gb": 8192,
"ram_type": "<string>",
"storage_tb": 2048,
"storage_type": "<string>",
"interconnect": "<string>",
"network_uplink": "<string>",
"os": "<string>",
"spec_summary": "<string>",
"quantity_available": 1,
"price_per_hour_cents": 500000,
"region": "<string>",
"available_from": "2023-11-07T05:31:56Z",
"duration_min": "<string>",
"duration_max": "<string>"
}
'import requests
url = "https://api.gpuoutlet.ai/v1/radar/submissions"
payload = {
"title": "<string>",
"gpu_model": "<string>",
"gpu_count": 36,
"gpu_memory_gb": 1024,
"cpu_model": "<string>",
"cpu_sockets": 8,
"ram_gb": 8192,
"ram_type": "<string>",
"storage_tb": 2048,
"storage_type": "<string>",
"interconnect": "<string>",
"network_uplink": "<string>",
"os": "<string>",
"spec_summary": "<string>",
"quantity_available": 1,
"price_per_hour_cents": 500000,
"region": "<string>",
"available_from": "2023-11-07T05:31:56Z",
"duration_min": "<string>",
"duration_max": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
title: '<string>',
gpu_model: '<string>',
gpu_count: 36,
gpu_memory_gb: 1024,
cpu_model: '<string>',
cpu_sockets: 8,
ram_gb: 8192,
ram_type: '<string>',
storage_tb: 2048,
storage_type: '<string>',
interconnect: '<string>',
network_uplink: '<string>',
os: '<string>',
spec_summary: '<string>',
quantity_available: 1,
price_per_hour_cents: 500000,
region: '<string>',
available_from: '2023-11-07T05:31:56Z',
duration_min: '<string>',
duration_max: '<string>'
})
};
fetch('https://api.gpuoutlet.ai/v1/radar/submissions', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.gpuoutlet.ai/v1/radar/submissions",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'title' => '<string>',
'gpu_model' => '<string>',
'gpu_count' => 36,
'gpu_memory_gb' => 1024,
'cpu_model' => '<string>',
'cpu_sockets' => 8,
'ram_gb' => 8192,
'ram_type' => '<string>',
'storage_tb' => 2048,
'storage_type' => '<string>',
'interconnect' => '<string>',
'network_uplink' => '<string>',
'os' => '<string>',
'spec_summary' => '<string>',
'quantity_available' => 1,
'price_per_hour_cents' => 500000,
'region' => '<string>',
'available_from' => '2023-11-07T05:31:56Z',
'duration_min' => '<string>',
'duration_max' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.gpuoutlet.ai/v1/radar/submissions"
payload := strings.NewReader("{\n \"title\": \"<string>\",\n \"gpu_model\": \"<string>\",\n \"gpu_count\": 36,\n \"gpu_memory_gb\": 1024,\n \"cpu_model\": \"<string>\",\n \"cpu_sockets\": 8,\n \"ram_gb\": 8192,\n \"ram_type\": \"<string>\",\n \"storage_tb\": 2048,\n \"storage_type\": \"<string>\",\n \"interconnect\": \"<string>\",\n \"network_uplink\": \"<string>\",\n \"os\": \"<string>\",\n \"spec_summary\": \"<string>\",\n \"quantity_available\": 1,\n \"price_per_hour_cents\": 500000,\n \"region\": \"<string>\",\n \"available_from\": \"2023-11-07T05:31:56Z\",\n \"duration_min\": \"<string>\",\n \"duration_max\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.gpuoutlet.ai/v1/radar/submissions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"title\": \"<string>\",\n \"gpu_model\": \"<string>\",\n \"gpu_count\": 36,\n \"gpu_memory_gb\": 1024,\n \"cpu_model\": \"<string>\",\n \"cpu_sockets\": 8,\n \"ram_gb\": 8192,\n \"ram_type\": \"<string>\",\n \"storage_tb\": 2048,\n \"storage_type\": \"<string>\",\n \"interconnect\": \"<string>\",\n \"network_uplink\": \"<string>\",\n \"os\": \"<string>\",\n \"spec_summary\": \"<string>\",\n \"quantity_available\": 1,\n \"price_per_hour_cents\": 500000,\n \"region\": \"<string>\",\n \"available_from\": \"2023-11-07T05:31:56Z\",\n \"duration_min\": \"<string>\",\n \"duration_max\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gpuoutlet.ai/v1/radar/submissions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"title\": \"<string>\",\n \"gpu_model\": \"<string>\",\n \"gpu_count\": 36,\n \"gpu_memory_gb\": 1024,\n \"cpu_model\": \"<string>\",\n \"cpu_sockets\": 8,\n \"ram_gb\": 8192,\n \"ram_type\": \"<string>\",\n \"storage_tb\": 2048,\n \"storage_type\": \"<string>\",\n \"interconnect\": \"<string>\",\n \"network_uplink\": \"<string>\",\n \"os\": \"<string>\",\n \"spec_summary\": \"<string>\",\n \"quantity_available\": 1,\n \"price_per_hour_cents\": 500000,\n \"region\": \"<string>\",\n \"available_from\": \"2023-11-07T05:31:56Z\",\n \"duration_min\": \"<string>\",\n \"duration_max\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"title": "<string>",
"gpu_model": "<string>",
"gpu_count": 123,
"gpu_memory_gb": 123,
"cpu_model": "<string>",
"cpu_sockets": 123,
"ram_gb": 123,
"ram_type": "<string>",
"storage_tb": 123,
"storage_type": "<string>",
"interconnect": "<string>",
"network_uplink": "<string>",
"os": "<string>",
"spec_summary": "<string>",
"quantity_available": 123,
"currency": "usd",
"price_per_hour_cents": 123,
"region": "<string>",
"available_from": "2023-11-07T05:31:56Z",
"duration_min": "<string>",
"duration_max": "<string>",
"auction": {
"lot_id": "<string>",
"format": "open",
"ends_at": "2023-11-07T05:31:56Z",
"reserve_cents": 123,
"currency": "<string>",
"bid_count": 123,
"current_bid_cents": 123
},
"status": "pending",
"rejection_reason": "<string>",
"listed": true,
"created_at": "2023-11-07T05:31:56Z"
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}{
"error": {
"type": "invalid_request_error",
"code": "<string>",
"message": "<string>",
"doc_url": "<string>",
"request_id": "<string>",
"param": "<string>",
"required_scope": "<string>",
"retry_after_seconds": 123,
"current": "<string>",
"problems": [
"<string>"
]
}
}Authorizations
An API key from your dashboard, sent as Authorization: Bearer gpk_….
Headers
Validated and echoed on Radar writes; not stored there.
1 - 255^[\x20-\x7E]+$Body
1 - 2001201 <= x <= 721 <= x <= 20481201 <= x <= 161 <= x <= 16384601 <= x <= 40966012012012040001 <= x <= 10000 <= x <= 10000001204040Response
The proposal, pending review
GPUs in ONE node
Nodes on offer
usd Per GPU-hour; null while the rate is still being agreed
Null on a fixed-price node, and null on any node with no lot taking bids right now — the two look identical here, which is correct: neither has anything to bid on. format is what lets you tell them apart from "there is a live lot with no leading bid yet". Always present as a key, never omitted, so an absent value is never ambiguous between "no lot" and "not sent yet".
A CLOSED lot is not this field's business: once a lot's window passes it stops being "live" and this goes back to null for that node. Reading a decided lot's outcome — who won, the settlement amount — is not something this API offers today, and placing a bid through this API is a separate, unreleased scope: neither is this field's concern.
Show child attributes
Show child attributes
pending, approved, rejected Whether buyers can see it right now