ninegateway — Dashboard

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Usage this cycle

Worker

Unlimited cap

1,240

today

Unlimited requests

Judge

per 5h window

12

/ 30

Agentic

per 5h window

4

/ 20

Long-doc

per 5h window

3

/ 15

Oracle

per day

1

/ 3

Top-up Balance

Rp 32.000

Quick actions

Generate credentials

See Pro & Enterprise

Total requests

2,487

this cycle

Tokens used

1.2M

in + out

Est. cost

Rp 4.500

paid usage only

5h window

12 / 68

used — Healthy

Per-tool quota

Worker

Unlimited

1,240

today

Unlimited requests

Judge

per 5h window

12

/ 30

Agentic

per 5h window

4

/ 20

Long-doc

per 5h window

3

/ 15

Oracle

per day

1

/ 3

Usage history

Time	Tool	Model	Tokens (in / out)	Latency	Status
2026-07-11 14:23	Worker	Worker	421 / 1,892	1.2s	✓ Success
2026-07-11 13:57	Judge	Judge	2,104 / 4,215	8.7s	✓ Success
2026-07-11 12:41	Agentic	Agentic	847 / 3,106	6.3s	✓ Success
2026-07-11 11:09	Long-doc	Long-doc	12,450 / 8,231	24.1s	✓ Success
2026-07-11 10:32	Oracle	Oracle	3,210 / 5,678	14.5s	✓ Success
2026-07-11 09:15	Worker	Worker	156 / 892	0.8s	✓ Success
2026-07-10 23:45	Judge	Judge	4,502 / 9,801	11.2s	⚠ Fallback
2026-07-10 22:30	Agentic	Agentic	1,234 / 4,567	7.1s	✗ Error

No usage records yet. Start using the API to see data here.

Private mode routes around free models — your prompts are never used for training.

No API keys yet. Create one to get started.

Pro Current

Rp 80.000 / month

Renews 9 Aug 2026

Compare plans

Standard

Rp 50.000 / month

✓ Worker — Unlimited
✓ Judge — 10 / 5h window
✓ Agentic — 5 sessions / 5h window
✓ Long-doc — 2 / day
✗ Oracle (Fusion)
✓ Privacy toggle

Pro

Rp 80.000 / month

✓ Worker — Unlimited
✓ Judge — 30 / 5h window
✓ Agentic — 20 sessions / 5h window
✓ Long-doc — 15 / 5h window
✓ Oracle — 3 / day
✓ Privacy toggle

Top-up balance

Amount (Rp)

Payment method

Transaction history

Date	Type	Amount	Status
2026-07-09	Subscription	Rp 80.000	✓ Paid
2026-07-05	Top-up	Rp 50.000	✓ Paid
2026-06-23	Top-up	Rp 25.000	✓ Paid
2026-06-09	Subscription	Rp 80.000	✓ Paid
2026-05-28	Top-up	Rp 10.000	Pending

Worker

Everyday chat & coding for high-volume tasks. Handles quick questions, code generation, and general conversation with the fastest response times.

✓ Standard ✓ Pro

Judge

Deep reasoning and verification for when you need the model to "think hard." Best for complex analysis, factual verification, and multi-step logic.

✓ Standard ✓ Pro

Agentic

Tool-use and autonomous agent loops for multi-step tasks. Designed for coding agents, research workflows, and any process that needs to call tools in sequence.

✓ Standard ✓ Pro

Long-doc

Handles big documents, PDFs, and images with 1 million token context window. Upload large files, analyze images, and process long-form content.

✓ Standard ✓ Pro

Oracle

Premium fusion that answers from multiple models in parallel and synthesizes the best result. For your hardest questions where quality matters most.

— Standard ✓ Pro

Tool Prompt

Run a prompt to see the response here.

Base endpoint

https://<your-gateway>/webhook/v1/chat/completions

Code examples

        curl https://<your-gateway>/webhook/v1/chat/completions \
  -H "Authorization: Bearer ng_sk_..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "worker",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'
      

        import requests

url = "https://<your-gateway>/webhook/v1/chat/completions"
headers = {
    "Authorization": "Bearer ng_sk_...",
    "Content-Type": "application/json"
}
data = {
    "model": "worker",
    "messages": [
        {"role": "user", "content": "Hello!"}
    ]
}
response = requests.post(url, headers=headers, json=data)
print(response.json())
      

        const url = "https://<your-gateway>/webhook/v1/chat/completions";
const headers = {
  "Authorization": "Bearer ng_sk_...",
  "Content-Type": "application/json"
};
const data = {
  model: "worker",
  messages: [
    { role: "user", content: "Hello!" }
  ]
};

const response = await fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(data)
});
const result = await response.json();
console.log(result);
      

Privacy note: Worker uses free community models that may use inputs for training. Turn on Private mode (API Keys) to route around them.