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LLM mention metrics for many keywords or domains, grouped
Live LLM Mentions Multi-Target Metrics endpoint provides aggregated metrics grouped by targets[].key for 2-10 comparison keys. This is a live rolling window (not monthly history); identical calls can vary.
- Price
- $0.114 / call
- Success (7 days)
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- Median latency
- —
- Runs (30 days)
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Details
- Tier
- bridged
- Safe to retry
- No
- Data
- Not classified
- Source terms
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Inputs
| Input | Type | Required | Description |
|---|---|---|---|
filters | array | No | <em>array of results filtering parameters</em><br>optional field<br><strong>you can add several filters at once (8 filters maximum)</strong><br>you should set a logical operator <code>and</code>, <code>or</code> between the conditions<br>the following operators are supported:<br><code>=</code>, <cod |
initial_dataset_filters | array | No | <em>array of filter expressions applied before aggregation</em><br>optional field<br>you can use this array to filter expressions applied to the raw mentions database before aggregation to limit the rows contributing to the result;<p><strong>you can add several filters at once (8 filters maximum)</s |
internal_list_limit | integer | No | <em>maximum number of elements within internal arrays</em><br>optional field<br>you can use this field to limit the number of elements within the following arrays:<br><code>sources_domain</code><br><code>search_results_domain</code><br>minimum value: <code>1</code><br>maximum value: <code>10</code>< |
language_code | string | No | <em>search language code</em><br>optional field<br>if you use this field, you don't need to specify <code>language_name</code>;<br>you can receive the list of available languages of the search engine with their <code>language_code</code> by making a separate request to the <code>https://api.datafors |
language_name | string | No | <em>full name of search language</em><br>optional field<br>if you use this field, you don't need to specify <code>language_code</code>;<br>if you don't specify this field, the <code>language_code</code> with <code class="long-string">en</code> value will be used by default;<br>you can receive the li |
limit | integer | No | <em>the maximum number of returned objects</em><br>optional field<p>default value: <code>100</code><br>maximum value: <code>1000</code> |
location_code | integer | No | search location code. Optional field. If you use this field, you don't need to specify location_name. Default is 2840 (United States). With platform=chat_gpt, only 2840 is valid; any other code (e.g. 2036) returns task status 40501 Invalid Field: 'location_code'. The HTTP envelope may still be 200 … |
location_name | string | No | full name of search location. Optional field. If you use this field, you don't need to specify location_code. Default is United States (location_code 2840). With platform=chat_gpt, only United States is valid; other names return the same task status 40501 Invalid Field on location. The HTTP envelop… |
offset | integer | No | <em>offset in the results array of the returned mentions data</em><br>optional field<p>default value: <code>0</code><br>example: if you specify the <code>10</code> value, the first ten mentions objects in the results array will be omitted and the data will be provided for the successive objects;<br> |
order_by | array | No | <em>results sorting rules</em><br>optional field<br>you can use the same values as in the <code>filters</code> array to sort the results<br>possible sorting types:<br><code>asc</code> - results will be sorted in the ascending order<br><code>desc</code> - results will be sorted in the descending orde |
platform | string | No | target platform. Optional field. Possible values: chat_gpt, google. When omitted, DataForSEO defaults to google only (not both platforms). chat_gpt data is available for the United States and English only (location 2840 / US + language en; else task status 40501). |
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 |
targets | array | No | array of objects containing target entities with aggregation keys. Required field. Between 2 and 10 keyed target sets (else upstream 40501: "The number of 'targets' items must be between 2 and 10."). Each nested target array can contain up to 10 domain/keyword entities. Requests must include at lea… |
Call it
curl https://api.orcarouter.ai/v1/tools/dataforseo.x-ai-optimization-llm-mentions-multi-target-metrics-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-llm-mentions-multi-target-metrics-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 LLM mention metrics for many keywords or domains, grouped cost?
LLM mention metrics for many keywords or domains, grouped costs $0.1144 per call: 1,000 calls cost $114.40.
What does a $10 budget buy with LLM mention metrics for many keywords or domains, grouped?
About 87 calls at $0.1144 per call.
What inputs does LLM mention metrics for many keywords or domains, grouped need?
It has no required inputs.
How do I call LLM mention metrics for many keywords or domains, grouped?
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 |
| ChatGPT answer to a prompt, liveLive ChatGPT LLM Responses endpoint allows you to retrieve structured responses from a specific ChatGPT AI model, based on the input parameters. | $0.0322 / 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 |
Showing the first 10 of 20.
