Exa Search

Run a neural semantic web search.

curl --request POST \
  --url https://api.aisa.one/apis/v1/exa/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "query": "latest evaluation frameworks for AI agents",
  "type": "auto",
  "numResults": 10,
  "includeDomains": [
    "<string>"
  ],
  "excludeDomains": [
    "<string>"
  ],
  "startPublishedDate": "2023-11-07T05:31:56Z",
  "endPublishedDate": "2023-11-07T05:31:56Z",
  "contents": {
    "text": true,
    "highlights": true,
    "summary": true
  },
  "outputSchema": {},
  "systemPrompt": "<string>"
}
'

import requests

url = "https://api.aisa.one/apis/v1/exa/search"

payload = {
    "query": "latest evaluation frameworks for AI agents",
    "type": "auto",
    "numResults": 10,
    "includeDomains": ["<string>"],
    "excludeDomains": ["<string>"],
    "startPublishedDate": "2023-11-07T05:31:56Z",
    "endPublishedDate": "2023-11-07T05:31:56Z",
    "contents": {
        "text": True,
        "highlights": True,
        "summary": True
    },
    "outputSchema": {},
    "systemPrompt": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    query: 'latest evaluation frameworks for AI agents',
    type: 'auto',
    numResults: 10,
    includeDomains: ['<string>'],
    excludeDomains: ['<string>'],
    startPublishedDate: '2023-11-07T05:31:56Z',
    endPublishedDate: '2023-11-07T05:31:56Z',
    contents: {text: true, highlights: true, summary: true},
    outputSchema: {},
    systemPrompt: '<string>'
  })
};

fetch('https://api.aisa.one/apis/v1/exa/search', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.aisa.one/apis/v1/exa/search",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'query' => 'latest evaluation frameworks for AI agents',
    'type' => 'auto',
    'numResults' => 10,
    'includeDomains' => [
        '<string>'
    ],
    'excludeDomains' => [
        '<string>'
    ],
    'startPublishedDate' => '2023-11-07T05:31:56Z',
    'endPublishedDate' => '2023-11-07T05:31:56Z',
    'contents' => [
        'text' => true,
        'highlights' => true,
        'summary' => true
    ],
    'outputSchema' => [
        
    ],
    'systemPrompt' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.aisa.one/apis/v1/exa/search"

	payload := strings.NewReader("{\n  \"query\": \"latest evaluation frameworks for AI agents\",\n  \"type\": \"auto\",\n  \"numResults\": 10,\n  \"includeDomains\": [\n    \"<string>\"\n  ],\n  \"excludeDomains\": [\n    \"<string>\"\n  ],\n  \"startPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"endPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"contents\": {\n    \"text\": true,\n    \"highlights\": true,\n    \"summary\": true\n  },\n  \"outputSchema\": {},\n  \"systemPrompt\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/exa/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"latest evaluation frameworks for AI agents\",\n  \"type\": \"auto\",\n  \"numResults\": 10,\n  \"includeDomains\": [\n    \"<string>\"\n  ],\n  \"excludeDomains\": [\n    \"<string>\"\n  ],\n  \"startPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"endPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"contents\": {\n    \"text\": true,\n    \"highlights\": true,\n    \"summary\": true\n  },\n  \"outputSchema\": {},\n  \"systemPrompt\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/exa/search")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"query\": \"latest evaluation frameworks for AI agents\",\n  \"type\": \"auto\",\n  \"numResults\": 10,\n  \"includeDomains\": [\n    \"<string>\"\n  ],\n  \"excludeDomains\": [\n    \"<string>\"\n  ],\n  \"startPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"endPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"contents\": {\n    \"text\": true,\n    \"highlights\": true,\n    \"summary\": true\n  },\n  \"outputSchema\": {},\n  \"systemPrompt\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "requestId": "<string>",
  "results": [
    {
      "title": "<string>",
      "url": "<string>",
      "publishedDate": "<string>",
      "author": "<string>",
      "id": "<string>"
    }
  ],
  "output": "<unknown>",
  "costDollars": "<unknown>"
}

POST

https://api.aisa.one/apis/v1

exa

Run a neural semantic web search.

curl --request POST \
  --url https://api.aisa.one/apis/v1/exa/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "query": "latest evaluation frameworks for AI agents",
  "type": "auto",
  "numResults": 10,
  "includeDomains": [
    "<string>"
  ],
  "excludeDomains": [
    "<string>"
  ],
  "startPublishedDate": "2023-11-07T05:31:56Z",
  "endPublishedDate": "2023-11-07T05:31:56Z",
  "contents": {
    "text": true,
    "highlights": true,
    "summary": true
  },
  "outputSchema": {},
  "systemPrompt": "<string>"
}
'

import requests

url = "https://api.aisa.one/apis/v1/exa/search"

payload = {
    "query": "latest evaluation frameworks for AI agents",
    "type": "auto",
    "numResults": 10,
    "includeDomains": ["<string>"],
    "excludeDomains": ["<string>"],
    "startPublishedDate": "2023-11-07T05:31:56Z",
    "endPublishedDate": "2023-11-07T05:31:56Z",
    "contents": {
        "text": True,
        "highlights": True,
        "summary": True
    },
    "outputSchema": {},
    "systemPrompt": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    query: 'latest evaluation frameworks for AI agents',
    type: 'auto',
    numResults: 10,
    includeDomains: ['<string>'],
    excludeDomains: ['<string>'],
    startPublishedDate: '2023-11-07T05:31:56Z',
    endPublishedDate: '2023-11-07T05:31:56Z',
    contents: {text: true, highlights: true, summary: true},
    outputSchema: {},
    systemPrompt: '<string>'
  })
};

fetch('https://api.aisa.one/apis/v1/exa/search', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.aisa.one/apis/v1/exa/search",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'query' => 'latest evaluation frameworks for AI agents',
    'type' => 'auto',
    'numResults' => 10,
    'includeDomains' => [
        '<string>'
    ],
    'excludeDomains' => [
        '<string>'
    ],
    'startPublishedDate' => '2023-11-07T05:31:56Z',
    'endPublishedDate' => '2023-11-07T05:31:56Z',
    'contents' => [
        'text' => true,
        'highlights' => true,
        'summary' => true
    ],
    'outputSchema' => [
        
    ],
    'systemPrompt' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.aisa.one/apis/v1/exa/search"

	payload := strings.NewReader("{\n  \"query\": \"latest evaluation frameworks for AI agents\",\n  \"type\": \"auto\",\n  \"numResults\": 10,\n  \"includeDomains\": [\n    \"<string>\"\n  ],\n  \"excludeDomains\": [\n    \"<string>\"\n  ],\n  \"startPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"endPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"contents\": {\n    \"text\": true,\n    \"highlights\": true,\n    \"summary\": true\n  },\n  \"outputSchema\": {},\n  \"systemPrompt\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/exa/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"latest evaluation frameworks for AI agents\",\n  \"type\": \"auto\",\n  \"numResults\": 10,\n  \"includeDomains\": [\n    \"<string>\"\n  ],\n  \"excludeDomains\": [\n    \"<string>\"\n  ],\n  \"startPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"endPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"contents\": {\n    \"text\": true,\n    \"highlights\": true,\n    \"summary\": true\n  },\n  \"outputSchema\": {},\n  \"systemPrompt\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/exa/search")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"query\": \"latest evaluation frameworks for AI agents\",\n  \"type\": \"auto\",\n  \"numResults\": 10,\n  \"includeDomains\": [\n    \"<string>\"\n  ],\n  \"excludeDomains\": [\n    \"<string>\"\n  ],\n  \"startPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"endPublishedDate\": \"2023-11-07T05:31:56Z\",\n  \"contents\": {\n    \"text\": true,\n    \"highlights\": true,\n    \"summary\": true\n  },\n  \"outputSchema\": {},\n  \"systemPrompt\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "requestId": "<string>",
  "results": [
    {
      "title": "<string>",
      "url": "<string>",
      "publishedDate": "<string>",
      "author": "<string>",
      "id": "<string>"
    }
  ],
  "output": "<unknown>",
  "costDollars": "<unknown>"
}

Search the open web with a natural-language query and get back the most relevant results, ranked by semantic relevance rather than keywords. Tune retrieval with type (from fast up to deep-reasoning), bound the result count with numResults (1–100, default 10), and narrow the set with category, includeDomains/excludeDomains, or a published-date range. Set contents to pull page text, highlights, or an AI summary inline with each result, and supply an outputSchema (optionally with a systemPrompt) to have Exa synthesize a structured output. Billed at a flat $0.08 per successful request; upstream 4xx responses are not billed. When you already know the exact pages you want, post_exa-contents fetches their full text directly.

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

query

string

required

The natural-language search query.

Example:

"latest evaluation frameworks for AI agents"

type

enum<string>

default:auto

Search mode. auto lets Exa choose; the deep modes trade latency for higher-quality retrieval.

Available options:

auto,

fast,

instant,

deep-lite,

deep,

deep-reasoning

numResults

integer

default:10

Number of results to return.

Required range: 1 <= x <= 100

Response

200 - application/json

Search completed successfully.

requestId

string

Exa request identifier.

results

object[]

Ranked search results.

Show child attributes

output

any | null

Structured output, present only when outputSchema was supplied.

costDollars

any | null

Upstream Exa cost breakdown. Informational only; customer billing is the flat $0.08.

Overview

Chat API

Embeddings & Rerank

Search API

Perplexity API

Financial API

Twitter API

Reddit API

Instagram API

Pinterest API

Scholar API

WaveInflu API

Prediction Market API

CoinGecko

DataForSEO

AgentMail

Apollo

Essentials

Authorizations

Body

Response