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AIsa Querit Search
web-searchfinancial-dataprediction-marketsweathertraveldata
AIsa Querit Search is a paid API for AI agents from AIsa MPP Data APIs at api.aisa.one, paid per call via MPP, $0.0048/call, status unknown (last checked 2026-10-14).
Perform AI-powered web search with optional geo, language, site, vertical, and time filters, returning ranked results with optional highlighted text fragments.
Price / call$0.0048
Success—
StatusUnknown
How this service works
Perform a search query using AI to retrieve relevant information based on the provided criteria. <!-- aisa-pricing:start --> Published reference price: $0.0048 USD per successful request. Account-specific pricing and final settlement may differ. <!-- aisa-pricing:end -->
Output
Returns an array of ranked search result objects, the query as actually executed, a unique search ID, server-side processing time, and optionally extracted highlight fragments from each result's body text. On error, returns an error code and descriptive message.
Example use cases
Financial data lookup for analyst
“Search for the latest analyst price targets and earnings estimates for Tesla stock, filtering to finance vertical and only returning results from the United States in English — give me up to 5 results with highlights.”
Geo-restricted travel research
“Find current flight deal articles and travel advisories for trips from the US to Japan, filtering results to english-language sources published in the last month, and extract the key highlights from each result.”
Code library discovery
“Search for Python libraries that do vector similarity search, using the code vertical, and give me up to 8 results with highlighted excerpts showing usage examples.”
Technical details
Endpoint
POSThttps://api.aisa.one/apis/v1/querit/search?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-enhanced web search with fine-grained filtering by country, language, site, time range, or vertical (finance or code), especially when you also want highlighted text fragments extracted from result pages. Prefer it over generic search APIs when you need pay-per-request pricing with no subscription, or when your use case spans financial data, prediction markets, weather, travel, or code discovery in a single unified interface.
Side effects
- Invalid or unsupported filter enum values (e.g. unsupported country or language) cause a 400-level error
- Empty or missing query field returns a validation error
- Unsupported vertical value returns an error
- Rate limiting or quota exhaustion returns a non-200 error code with error_msg
- No results found returns an empty result array with a 200 status
- Highlights request with maxCharacters out of range (below 100 or above 8000) causes a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| count | integer | Maximum number of results returned. Default: server default (value unspecified). |
| queryrequired | string | Search term. Supports long natural-language descriptions |
| filters | object | Filter conditions, see below |
| highlights | — | Request relevant fragments from the body text. true extracts against the original query at the length the model judges best; the object form takes query and maxCharacters, see below |
| needContent | boolean | Whether to return body text. When true, body text lands in each result's sentence field (sentence array) |
| chunksPerDoc | integer | Summary chunks per document. Free / PAYG support up to 1; Enterprise up to 3. Deprecated — still available, but migrate to highlights |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| took | string | Server-side processing time |
| results | object | |
| error_msg | string | Error detail |
| search_id | integer | Unique request identifier; give it to support when reporting an issue |
| error_code | integer | Error code, consistent with the HTTP status code; 200 on success |
| query_context | object |
Tags
web-searchfinancial-dataprediction-marketsweathertraveldatasearch
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