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POST
/
ai
/
v2
/
chat
/
completions
Generate chat completions with Messari AI
curl --request POST \
  --url https://api.messari.io/ai/v2/chat/completions \
  --header 'Content-Type: application/json' \
  --header 'X-Messari-API-Key: <api-key>' \
  --data '
{
  "messages": [
    {
      "role": "user",
      "content": "What is Solana?"
    }
  ],
  "allow_clarification_query": true,
  "generate_related_questions": 2,
  "inline_citations": true,
  "response_format": "markdown",
  "stream": false,
  "verbosity": "balanced"
}
'
import requests

url = "https://api.messari.io/ai/v2/chat/completions"

payload = {
"messages": [
{
"role": "user",
"content": "What is Solana?"
}
],
"allow_clarification_query": True,
"generate_related_questions": 2,
"inline_citations": True,
"response_format": "markdown",
"stream": False,
"verbosity": "balanced"
}
headers = {
"X-Messari-API-Key": "<api-key>",
"Content-Type": "application/json"
}

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

print(response.text)
const options = {
method: 'POST',
headers: {'X-Messari-API-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
messages: [{role: 'user', content: 'What is Solana?'}],
allow_clarification_query: true,
generate_related_questions: 2,
inline_citations: true,
response_format: 'markdown',
stream: false,
verbosity: 'balanced'
})
};

fetch('https://api.messari.io/ai/v2/chat/completions', 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.messari.io/ai/v2/chat/completions",
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([
'messages' => [
[
'role' => 'user',
'content' => 'What is Solana?'
]
],
'allow_clarification_query' => true,
'generate_related_questions' => 2,
'inline_citations' => true,
'response_format' => 'markdown',
'stream' => false,
'verbosity' => 'balanced'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"X-Messari-API-Key: <api-key>"
],
]);

$response = curl_exec($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.messari.io/ai/v2/chat/completions"

payload := strings.NewReader("{\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What is Solana?\"\n }\n ],\n \"allow_clarification_query\": true,\n \"generate_related_questions\": 2,\n \"inline_citations\": true,\n \"response_format\": \"markdown\",\n \"stream\": false,\n \"verbosity\": \"balanced\"\n}")

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

req.Header.Add("X-Messari-API-Key", "<api-key>")
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.messari.io/ai/v2/chat/completions")
.header("X-Messari-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What is Solana?\"\n }\n ],\n \"allow_clarification_query\": true,\n \"generate_related_questions\": 2,\n \"inline_citations\": true,\n \"response_format\": \"markdown\",\n \"stream\": false,\n \"verbosity\": \"balanced\"\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.messari.io/ai/v2/chat/completions")

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

request = Net::HTTP::Post.new(url)
request["X-Messari-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What is Solana?\"\n }\n ],\n \"allow_clarification_query\": true,\n \"generate_related_questions\": 2,\n \"inline_citations\": true,\n \"response_format\": \"markdown\",\n \"stream\": false,\n \"verbosity\": \"balanced\"\n}"

response = http.request(request)
puts response.read_body
{
  "data": {
    "messages": [
      {}
    ]
  },
  "error": "<string>",
  "metadata": {
    "status": "<string>",
    "trace_id": "aSDinaTvuI8gbWludGxpZnk=",
    "charts": [
      {}
    ],
    "related_questions": [
      "<string>"
    ],
    "sources": [
      {}
    ]
  }
}
{
"data": "<unknown>",
"error": "<string>"
}
{
"data": "<unknown>",
"error": "<string>"
}
{
"data": "<unknown>",
"error": "<string>"
}
x402 Support: Supported. See the x402 guide.
This endpoint provides Messari’s v2 chat completion interface for contextual crypto analysis. For implementation details and authentication options, see:

Authorizations

X-Messari-API-Key
string
header
required

Body

application/json
messages
object[]
required

Array of messages in the conversation history

allow_clarification_query
boolean
default:true

Whether the AI can ask for clarification when the query is ambiguous

Adds AI generated related questions to use as follow up questions

inline_citations
boolean
default:true

Adds inline citation document references in the payload metadata

response_format
string
default:markdown

Text format for the response. Values accepted are 'markdown' and 'plaintext'.

stream
boolean
default:false

Stream the response through the API

verbosity
string
default:balanced

Controls the length and detail level of the AI-generated response. Values accepted are 'succinct', 'balanced', and 'verbose'.

Response

Default response

data
object
required
error
string
metadata
object