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AIsa Brave LLM Context
web-searchfinancial-dataprediction-marketsweathertraveldata
AIsa Brave LLM Context is a paid API for AI agents from AIsa MPP Data APIs at api.aisa.one, paid per call via MPP, $0.005/call, status unknown (last checked 2026-10-14).
Performs a web search via Brave and returns LLM-optimized context snippets with source metadata for a given query
Price / call$0.005
Success—
StatusUnknown
How this service works
<!-- aisa-pricing:start --> Published reference price: $0.005 USD per successful request. Account-specific pricing and final settlement may differ. <!-- aisa-pricing:end -->
Output
Returns a structured JSON object with an LLM-ready context string and a sources map keyed by URL, where each source contains the page title, hostname, query-relevant snippet, publication age (full date, ISO date, relative age, ISO 8601 timestamp), favicon URL, thumbnail details, and site name.
Example use cases
Real-time news grounding for AI
“Search the web for 'OpenAI GPT-5 release date' with freshness set to the last 7 days and return the top 5 source snippets so I can answer questions accurately.”
Country-specific market research
“Find web context about 'electric vehicle adoption trends' from sources in Germany, using up to 15 results, so I can get a European perspective on the market.”
Prediction market context lookup
“Search Brave for 'US election prediction markets 2024 odds' and pull up to 20 results with snippets so I have grounded context for my analysis.”
Technical details
Endpoint
GEThttps://api.aisa.one/apis/v1/brave/llm/context?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need web search results pre-formatted as LLM context with source citations — especially when you want Brave's privacy-focused index with optional freshness filtering, country targeting, and custom re-ranking via Goggles. Prefer it over raw search endpoints when the agent needs to ground its answers in cited web content rather than just a list of URLs.
Side effects
- Empty or missing query parameter returns validation error
- Query exceeding 600 characters or 75 words is rejected
- Unsupported country code causes parameter error
- Count value outside 1-50 range returns validation error
- No results found for highly specific or obscure query returns empty sources
- Freshness filter with invalid date format causes error
- Rate limiting or payment failure returns 402 or 429 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| qrequired | string | The user’s search query term. Query can not be empty. Maximum of 600 characters and 75 words in the query. |
| count | integer | The maximum number of search results considered to select the LLM context data. The default is 20 and the maximum is 50. |
| country | — | The search query country, where the results come from. The country string is limited to 2 character country codes of supported countries. |
| goggles | — | Goggles act as a custom re-ranking on top of Brave’s search index. The parameter supports both a url where the Goggle is hosted or the definition of the Goggle. For more details, see the <a href="/documentation/resources/goggles">Goggles documentation</a>. The parameter can be a single Goggle or a list of up to 3 Goggles. |
| freshness | string | <p>Filters search results by page age. The age of a page is determined by the most relevant date reported by the content, such as its published or last modified date. The following values are supported:</p> <ul> <li><strong>pd</strong> - Pages aged 24 hours or less.</li> <li><strong>pw</strong> - Pages aged 7 days or less.</li> <li><strong>pm</strong> - Pages aged 31 days or less.</li> <li><strong>py</strong> - Pages aged 365 days or less.</li> <li><strong>YYYY-MM-DDtoYYYY-MM-DD</strong> - A custom date range is also supported by specifying start and end dates e.g. <code>2022-04-01to2022-07-30</code>.</li> </ul> |
| safesearch | — | <p>Filters results for adult content. The following values are supported:</p> <ul> <li><strong>off</strong> - No filtering is done.</li> <li><strong>moderate</strong> - Drops adult content from the results used for context.</li> <li><strong>strict</strong> - Drops all adult content from the results used for context.</li> </ul> <p>When not set, no filtering is applied — except for local recall, which stays <code>strict</code>.</p> |
| spellcheck | boolean | Whether to enable spellcheck on the query. |
| search_lang | — | The search language preference. The 2 or more character language code for which the search results are provided. |
| enable_local | — | Whether to enable local recall. Not setting this value means auto-detect: local recall is used if a location is provided (<code>X-Loc-Lat</code> with <code>X-Loc-Long</code>, or <code>X-Loc-City</code>). |
| context_threshold_mode | — | The mode to use to determine the threshold for including content in context. |
| enable_source_metadata | boolean | Enable source metadata enrichment (site_name, favicon, thumbnail, description, fetched_content_timestamp) in the sources attribute of the response. |
| maximum_number_of_urls | integer | Maximum number of different URLs to include in LLM context. |
| maximum_number_of_tokens | integer | Approximate maximum number of tokens to include in context. The default is <code>8192</code> and maximum is <code>32768</code>. |
| maximum_number_of_snippets | integer | Maximum number of different snippets (or chunks of text) to include in LLM context. The default is <code>50</code> and maximum is <code>256</code>. |
| maximum_number_of_tokens_per_url | integer | Maximum number of tokens to include per URL. The default is <code>4096</code> and maximum is <code>8192</code>. |
| maximum_number_of_snippets_per_url | integer | Maximum number of snippets to include per URL. The default is <code>50</code> and maximum is <code>100</code>. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| sources | object | Metadata for all referenced URLs, keyed by URL. |
| grounding | object | Container for all LLM context content by type. |
Tags
web-searchfinancial-dataprediction-marketsweathertraveldatasearch
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