AI answer visibility · AI search visibility
ChatGPT answer to a prompt, live
Live ChatGPT LLM Responses endpoint allows you to retrieve structured responses from a specific ChatGPT AI model, based on the input parameters.
- Price
- $0.0322 / call
- Success (7 days)
- —
- Median latency
- —
- Runs (30 days)
- —
Details
- Tier
- bridged
- Safe to retry
- No
- Data
- Not classified
- Source terms
- —
Inputs
| Input | Type | Required | Description |
|---|---|---|---|
force_web_search | boolean | No | <em>force AI agent to use web search</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model is forced to access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> even if the param |
max_output_tokens | integer | No | <em>maximum number of tokens in the AI response</em><br>optional field<br>minimum value for reasoning models (e.g., <code>reasoning</code> is <code>true</code> in the <a href="/v3/ai_optimization/chat_gpt/llm_responses/models/" target="_blank">Models endpoint</a>): <code>1024</code>;<br>minimum valu |
message_chain | array | No | conversation history optional field array of message objects representing previous conversation turns; each object must contain: role string with either user or ai role; message string with message content (max 500 characters); you can specify maximum of 10 message objects in the array; Note: for Pe |
model_name | string | No | <em>name of the AI model</em><br><strong>required field</strong><br><code>model_name</code >consists of the actual model name and version name;<br>if the basic model name is specified, its latest version will be set by default;<br>for example, if <code>gpt-4.1</code> is specified, the <code>gpt-4.1- |
system_message | string | No | <em>instructions for the AI behaviour</em><br>optional field<br>defines the AI's role, tone, or specific behavior <br>you can specify <strong>up to 500 characters</strong> in the <code>system_message</code> field |
tag | string | No | <em>user-defined task identifier</em><br>optional field<br><em>the character limit is 255</em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag</code> value in the <code>data</code> object of the response |
temperature | number | No | <em>randomness of the AI response</em><br>optional field<br>higher values make output more diverse; <br>lower values make output more focused;<br>minimum value: <code>0</code><br>maximum value: <code>2</code><br>default value: <code>0.94</code><br><strong>Note:</strong> not supported in reasoning mo |
top_p | number | No | <em>diversity of the AI response</em><br>optional field <br>controls diversity of the response by limiting token selection;<br>minimum value: <code>0</code><br>maximum value: <code>1</code> <br>default value: <code>0.92</code><p><strong>Note:</strong> <code>top_p</code> cannot be used together with |
user_prompt | string | No | <em>prompt for the AI model</em><br><strong>required field</strong><br>the question or task you want to send to the AI model;<br>you can specify <strong>up to 500 characters</strong> in the <code>user_prompt</code> field |
web_search | boolean | No | <em>enable web search</em><br>optional field<br>when enabled, the AI model can access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> refer to the <a href="https://docs.dataforseo.com/v3/ai_optimization/chat_gpt/llm_responses/models/">Models endpoint |
web_search_city | string | No | <em>city name of the location</em><br>optional field<br><strong>Note:</strong> not supported in <code>o3-mini</code>, <code>o1-pro</code>, <code>o1</code> models |
web_search_country_iso_code | string | No | <em>ISO country code of the location</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model will search the web from the country you specify;<br><strong>Note:</strong> not supported in <code>o3-mini</code>, <code>o1-pro</code>, |
Call it
curl https://api.orcarouter.ai/v1/tools/dataforseo.x-ai-optimization-chat-gpt-llm-responses-live/run \
-H "Authorization: Bearer $ORCAROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"input":{}}'curl "https://api.orcarouter.ai/v1/tools/functions?ids=dataforseo.x-ai-optimization-chat-gpt-llm-responses-live&format=openai" \
-H "Authorization: Bearer $ORCAROUTER_API_KEY"{
"mcpServers": {
"orcarouter": {
"type": "http",
"url": "https://api.orcarouter.ai/v1/tools/mcp",
"headers": {
"Authorization": "Bearer <ORCAROUTER_API_KEY>"
}
}
}
}Questions
How much does ChatGPT answer to a prompt, live cost?
ChatGPT answer to a prompt, live costs $0.032174 per call: 1,000 calls cost $32.174.
What does a $10 budget buy with ChatGPT answer to a prompt, live?
About 310 calls at $0.032174 per call.
What inputs does ChatGPT answer to a prompt, live need?
It has no required inputs.
How do I call ChatGPT answer to a prompt, live?
Send POST /v1/tools/{id}/run with your OrcaRouter API key and a JSON body {"input": {…}}, where {id} is the tool id POST /v1/tools/discover returns for it.
Alternatives
| Tool | Price | Success (7 days) | Median latency | Runs (30 days) | Tier |
|---|---|---|---|---|---|
| ChatGPT search results for a keyword, liveLive ChatGPT LLM Scraper endpoint provides results from ChatGPT searches. | $0.0044 / call | — | — | 6 | bridged |
| Gemini search results for a keyword, liveLive Gemini LLM Scraper endpoint provides structured results from Gemini. | $0.0044 / call | — | — | — | bridged |
| Perplexity answer to a prompt, liveLive Perplexity LLM Responses endpoint allows you to retrieve structured responses from a specific Perplexity AI model, based on the input parameters. | $0.00645 / call | — | — | 6 | bridged |
| Brave AI Mode answer for a queryBrave Search's conversational AI answer for a query | $0.0275 / call | — | — | — | bridged |
| Gemini answer to a prompt, liveLive Gemini LLM Responses endpoint allows you to retrieve structured responses from a specific Gemini AI model, based on the input parameters. | $0.0399 / call | — | — | — | bridged |
| Monthly LLM mention history for a keyword or domainLive LLM Mentions Historical endpoint provides month-by-month historical metrics for mentions matching the AND-combined target filter (one series, not one per brand). | $0.111 / call | — | — | — | bridged |
| LLM mention metrics for a keyword or domain, liteLive LLM Mentions Target Metrics Lite endpoint is the simplified version of the Target Metrics endpoint and provides a simplified view of aggregated LLM mentions for keywords and domains specified in the target array of the request. | $0.111 / call | — | — | — | bridged |
| LLM mention metrics for a keyword or domainLive LLM Mentions Target Metrics endpoint provides aggregated metrics for mentions of the keywords or domains specified in the target array of the request. | $0.111 / call | — | — | — | bridged |
| Search LLM mentions of a keyword or domain in AI answersLive LLM Mentions Search endpoint provides mention data and related metrics from AI searches. | $0.113 / call | — | — | — | bridged |
| Top brand categories in LLM mentions of a target, liteLive LLM Mentions Top Mentioned Brand Categories Lite endpoint is the simplified version of the Top Mentioned Brand Categories endpoint and provides a simplified view of aggregated LLM mentions metrics grouped by the most frequently mentioned brand categories for the specified target. | $0.113 / call | — | — | — | bridged |
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