Sonar Reasoning Pro

Reference example

# Fixed reference example. Playground inputs do not update this sample.
curl --request POST \
  --url https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "sonar-reasoning-pro",
  "messages": [
    {
      "role": "user",
      "content": "Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages"
    }
  ]
}'

curl --request POST \
  --url https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "sonar-reasoning-pro",
  "messages": [
    {
      "role": "user",
      "content": "Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages"
    }
  ]
}
'

import requests

url = "https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro"

payload = {
    "model": "sonar-reasoning-pro",
    "messages": [
        {
            "role": "user",
            "content": "Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages"
        }
    ]
}
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({
    model: 'sonar-reasoning-pro',
    messages: [
      {
        role: 'user',
        content: 'Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages'
      }
    ]
  })
};

fetch('https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro', 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/perplexity/sonar-reasoning-pro",
  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([
    'model' => 'sonar-reasoning-pro',
    'messages' => [
        [
                'role' => 'user',
                'content' => 'Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages'
        ]
    ]
  ]),
  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/perplexity/sonar-reasoning-pro"

	payload := strings.NewReader("{\n  \"model\": \"sonar-reasoning-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages\"\n    }\n  ]\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/perplexity/sonar-reasoning-pro")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"sonar-reasoning-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro")

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  \"model\": \"sonar-reasoning-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages\"\n    }\n  ]\n}"

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

{
  "id": "<string>",
  "model": "<string>",
  "object": "chat.completion",
  "created": 123,
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "<string>",
        "content": "<string>"
      },
      "finish_reason": "stop"
    }
  ],
  "citations": [
    "<string>"
  ],
  "search_results": [
    {
      "title": "<string>",
      "url": "<string>",
      "snippet": "<string>",
      "date": "<string>",
      "source": "<string>"
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "search_context_size": "<string>"
  }
}

POST

https://api.aisa.one

apis

perplexity

sonar-reasoning-pro

Reference example

# Fixed reference example. Playground inputs do not update this sample.
curl --request POST \
  --url https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "sonar-reasoning-pro",
  "messages": [
    {
      "role": "user",
      "content": "Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages"
    }
  ]
}'

curl --request POST \
  --url https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "sonar-reasoning-pro",
  "messages": [
    {
      "role": "user",
      "content": "Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages"
    }
  ]
}
'

import requests

url = "https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro"

payload = {
    "model": "sonar-reasoning-pro",
    "messages": [
        {
            "role": "user",
            "content": "Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages"
        }
    ]
}
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({
    model: 'sonar-reasoning-pro',
    messages: [
      {
        role: 'user',
        content: 'Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages'
      }
    ]
  })
};

fetch('https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro', 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/perplexity/sonar-reasoning-pro",
  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([
    'model' => 'sonar-reasoning-pro',
    'messages' => [
        [
                'role' => 'user',
                'content' => 'Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages'
        ]
    ]
  ]),
  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/perplexity/sonar-reasoning-pro"

	payload := strings.NewReader("{\n  \"model\": \"sonar-reasoning-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages\"\n    }\n  ]\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/perplexity/sonar-reasoning-pro")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"sonar-reasoning-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro")

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  \"model\": \"sonar-reasoning-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages\"\n    }\n  ]\n}"

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

{
  "id": "<string>",
  "model": "<string>",
  "object": "chat.completion",
  "created": 123,
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "<string>",
        "content": "<string>"
      },
      "finish_reason": "stop"
    }
  ],
  "citations": [
    "<string>"
  ],
  "search_results": [
    {
      "title": "<string>",
      "url": "<string>",
      "snippet": "<string>",
      "date": "<string>",
      "source": "<string>"
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "search_context_size": "<string>"
  }
}

Ask a question that has to be worked through, not just looked up, and get a step-by-step answer backed by web search. Same shape as the other Perplexity endpoints — model (required, sonar-reasoning-pro) and messages in; choices[0].message.content, citations, search_results[] and usage out. Measured at about 5 seconds, billed at a flat rate per request. Use it for comparison, causation and analysis. When the question is simply what is the case, post_perplexity_sonar is faster; when you need a long report over many sources rather than an answer, post_perplexity_sonar_deep_research.

Example

curl -X POST "https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sonar-reasoning-pro",
    "messages": [
      {"role": "user", "content": "Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages"}
    ]
  }'

// Copy this whole block into Claude Code, Codex, Cursor or any coding agent.
// It carries everything needed to connect, authorize and run this example —
// no key to paste, one click of Allow in the browser.
{
  "operation_id": "post_perplexity_sonar_reasoning_pro",
  "arguments": {
    "model": "sonar-reasoning-pro",
    "messages": [
      {
        "role": "user",
        "content": "Analyze whether Tesla stock is overvalued based on current P/E ratio compared to industry averages"
      }
    ]
  },
  "max_price_usd": 0.05
}
// ── for the agent ─────────────────────────────────────────────────────────
// Register the AIsa MCP server, then call its `use` tool with the JSON above.
//   name       aisa
//   endpoint   https://mcp.aisa.one/mcp
//   transport  streamable-http
//   auth       OAuth. The server publishes RFC 9728 metadata, so open a
//              browser and the user clicks Allow once — nothing to paste.
//              If AISA_API_KEY is set, send it as a bearer header instead.
// Use your own MCP mechanism, not a hand-edited config file:
//   Codex        codex mcp add aisa --url https://mcp.aisa.one/mcp
//   Claude Code  claude mcp add --transport http -s user aisa https://mcp.aisa.one/mcp
//   Cursor / VS Code   a "url" entry for https://mcp.aisa.one/mcp in the MCP config
// The server lists five tools over https://mcp.aisa.one/servers worth of APIs:
// search, get_details, use, batch_use, list_categories. search and
// get_details are free; use is billed per call and max_price_usd refuses
// anything above the cap before spending. This operation's full contract —
// every argument, the response shape, the price and the pitfalls — is at
//   https://aisa.one/docs/api-reference/perplexity/post_perplexity-sonar-reasoning-pro.md
// Then run the call and show me the result.

First time? Point any MCP client at https://mcp.aisa.one/mcp — Claude Code, Codex, Cursor, VS Code and the rest. Authorization is OAuth: the client opens a browser, you click Allow once, and there is no key to paste. Your agent then reaches every endpoint through five tools: search, list_categories and get_details are free, use and batch_use are billed per call. Setup per client is in Connect via MCP; the live tool list and what each call costs are on aisa.one/mcp.

Set this endpoint up in your agent →

Cost and request rules

Published reference values are not an account-specific quote or a settled charge. For endpoints supporting X-AISA-Cost-Mode: quote, obtain a free quote for your exact request before execution; reconcile the settled cost with response metadata and Usage Logs. USD amounts use 1,000,000 integer micro-USD per dollar.

Default request reference estimate (USD): 0.03499
Cost contract: response_usd
Published reference multiplier: 1.0
Settlement evidence source: response_body

Authorizations

Authorization

string

header

required

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

Body

application/json

model

enum<string>

required

The Sonar model to use.

Available options:

sonar,

sonar-pro,

sonar-reasoning-pro,

sonar-deep-research

messages

object[]

required

A list of messages comprising the conversation so far.

Show child attributes

max_tokens

integer

The maximum number of tokens to generate in the response.

temperature

number

default:0.2

Sampling temperature between 0 and 2. Lower values make output more focused and deterministic.

Required range: 0 <= x <= 2

top_p

number

default:0.9

Nucleus sampling parameter. The model considers tokens with top_p probability mass.

Required range: 0 <= x <= 1

top_k

integer

default:0

The number of tokens to keep for top-k filtering.

Required range: 0 <= x <= 2048

stream

boolean

default:false

Whether to stream the response using server-sent events.

search_context

enum<string>

default:low

Controls how much search context to use. Affects per-request cost.

Available options:

low,

medium,

high

frequency_penalty

number

default:1

Penalizes new tokens based on their existing frequency in the text so far. Positive values decrease the likelihood of repeating the same line verbatim.

Required range: 0 <= x <= 2

presence_penalty

number

default:0

Penalizes new tokens based on whether they appear in the text so far. Positive values increase the likelihood of talking about new topics.

Required range: -2 <= x <= 2

return_citations

boolean

default:true

Whether to return citations and search results in the response.

search_recency_filter

enum<string>

Filter search results by recency.

Available options:

month,

week,

day,

hour

search_domain_filter

string[]

Limit search to specific domains.

Response

Successful response with AI answer and citations

string

Unique identifier for the completion.

model

string

The model used for the completion.

object

string

Example:

"chat.completion"

created

integer

Unix timestamp of when the completion was created.

choices

object[]

Show child attributes

citations

string[]

List of source URLs referenced in the answer.

search_results

object[]

Detailed search results with titles, snippets, and URLs.

Show child attributes

usage

object

Show child attributes

Overview

Models

Search & Research

Finance & Crypto

Social & Media

SEO & Web Intel

Sales & Email

Travel & Other

Sonar Reasoning Pro

Example

Cost and request rules

Authorizations

Body

Response

​Example

​Cost and request rules

Authorizations

Body

Response

Example

Cost and request rules