curl --request POST \
  --url https://api.example.com/v2/evidence \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "agent_context": {
    "objective": "<string>",
    "requested_outcome": "<string>",
    "run_id": "<string>",
    "step_id": "<string>",
    "client": {
      "agent_name": "<string>",
      "agent_version": "<string>",
      "framework": "<string>"
    },
    "constraints": {
      "latency_budget_ms": 15025,
      "max_results_budget": 100,
      "min_resolution_confidence": 0.5,
      "strict_mode": true
    },
    "parent_step_id": "<string>",
    "tags": [
      "<string>"
    ]
  },
  "context": {
    "sector": "<string>"
  },
  "cursor": "<string>",
  "expected_types": [
    "<string>"
  ],
  "max_results": 10,
  "query": "<string>",
  "resolution": {
    "include_aliases": false,
    "include_metadata": false,
    "max_results": 5
  },
  "subject": {
    "canonical_id": "<string>",
    "entity_type": "<string>",
    "canonical_name": "<string>"
  }
}
'

import requests

url = "https://api.example.com/v2/evidence"

payload = {
    "agent_context": {
        "objective": "<string>",
        "requested_outcome": "<string>",
        "run_id": "<string>",
        "step_id": "<string>",
        "client": {
            "agent_name": "<string>",
            "agent_version": "<string>",
            "framework": "<string>"
        },
        "constraints": {
            "latency_budget_ms": 15025,
            "max_results_budget": 100,
            "min_resolution_confidence": 0.5,
            "strict_mode": True
        },
        "parent_step_id": "<string>",
        "tags": ["<string>"]
    },
    "context": { "sector": "<string>" },
    "cursor": "<string>",
    "expected_types": ["<string>"],
    "max_results": 10,
    "query": "<string>",
    "resolution": {
        "include_aliases": False,
        "include_metadata": False,
        "max_results": 5
    },
    "subject": {
        "canonical_id": "<string>",
        "entity_type": "<string>",
        "canonical_name": "<string>"
    }
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    agent_context: {
      objective: '<string>',
      requested_outcome: '<string>',
      run_id: '<string>',
      step_id: '<string>',
      client: {agent_name: '<string>', agent_version: '<string>', framework: '<string>'},
      constraints: {
        latency_budget_ms: 15025,
        max_results_budget: 100,
        min_resolution_confidence: 0.5,
        strict_mode: true
      },
      parent_step_id: '<string>',
      tags: ['<string>']
    },
    context: {sector: '<string>'},
    cursor: '<string>',
    expected_types: ['<string>'],
    max_results: 10,
    query: '<string>',
    resolution: {include_aliases: false, include_metadata: false, max_results: 5},
    subject: {canonical_id: '<string>', entity_type: '<string>', canonical_name: '<string>'}
  })
};

fetch('https://api.example.com/v2/evidence', 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.example.com/v2/evidence",
  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([
    'agent_context' => [
        'objective' => '<string>',
        'requested_outcome' => '<string>',
        'run_id' => '<string>',
        'step_id' => '<string>',
        'client' => [
                'agent_name' => '<string>',
                'agent_version' => '<string>',
                'framework' => '<string>'
        ],
        'constraints' => [
                'latency_budget_ms' => 15025,
                'max_results_budget' => 100,
                'min_resolution_confidence' => 0.5,
                'strict_mode' => true
        ],
        'parent_step_id' => '<string>',
        'tags' => [
                '<string>'
        ]
    ],
    'context' => [
        'sector' => '<string>'
    ],
    'cursor' => '<string>',
    'expected_types' => [
        '<string>'
    ],
    'max_results' => 10,
    'query' => '<string>',
    'resolution' => [
        'include_aliases' => false,
        'include_metadata' => false,
        'max_results' => 5
    ],
    'subject' => [
        'canonical_id' => '<string>',
        'entity_type' => '<string>',
        'canonical_name' => '<string>'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "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.example.com/v2/evidence"

	payload := strings.NewReader("{\n  \"agent_context\": {\n    \"objective\": \"<string>\",\n    \"requested_outcome\": \"<string>\",\n    \"run_id\": \"<string>\",\n    \"step_id\": \"<string>\",\n    \"client\": {\n      \"agent_name\": \"<string>\",\n      \"agent_version\": \"<string>\",\n      \"framework\": \"<string>\"\n    },\n    \"constraints\": {\n      \"latency_budget_ms\": 15025,\n      \"max_results_budget\": 100,\n      \"min_resolution_confidence\": 0.5,\n      \"strict_mode\": true\n    },\n    \"parent_step_id\": \"<string>\",\n    \"tags\": [\n      \"<string>\"\n    ]\n  },\n  \"context\": {\n    \"sector\": \"<string>\"\n  },\n  \"cursor\": \"<string>\",\n  \"expected_types\": [\n    \"<string>\"\n  ],\n  \"max_results\": 10,\n  \"query\": \"<string>\",\n  \"resolution\": {\n    \"include_aliases\": false,\n    \"include_metadata\": false,\n    \"max_results\": 5\n  },\n  \"subject\": {\n    \"canonical_id\": \"<string>\",\n    \"entity_type\": \"<string>\",\n    \"canonical_name\": \"<string>\"\n  }\n}")

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

	req.Header.Add("Authorization", "<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.example.com/v2/evidence")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"agent_context\": {\n    \"objective\": \"<string>\",\n    \"requested_outcome\": \"<string>\",\n    \"run_id\": \"<string>\",\n    \"step_id\": \"<string>\",\n    \"client\": {\n      \"agent_name\": \"<string>\",\n      \"agent_version\": \"<string>\",\n      \"framework\": \"<string>\"\n    },\n    \"constraints\": {\n      \"latency_budget_ms\": 15025,\n      \"max_results_budget\": 100,\n      \"min_resolution_confidence\": 0.5,\n      \"strict_mode\": true\n    },\n    \"parent_step_id\": \"<string>\",\n    \"tags\": [\n      \"<string>\"\n    ]\n  },\n  \"context\": {\n    \"sector\": \"<string>\"\n  },\n  \"cursor\": \"<string>\",\n  \"expected_types\": [\n    \"<string>\"\n  ],\n  \"max_results\": 10,\n  \"query\": \"<string>\",\n  \"resolution\": {\n    \"include_aliases\": false,\n    \"include_metadata\": false,\n    \"max_results\": 5\n  },\n  \"subject\": {\n    \"canonical_id\": \"<string>\",\n    \"entity_type\": \"<string>\",\n    \"canonical_name\": \"<string>\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/v2/evidence")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"agent_context\": {\n    \"objective\": \"<string>\",\n    \"requested_outcome\": \"<string>\",\n    \"run_id\": \"<string>\",\n    \"step_id\": \"<string>\",\n    \"client\": {\n      \"agent_name\": \"<string>\",\n      \"agent_version\": \"<string>\",\n      \"framework\": \"<string>\"\n    },\n    \"constraints\": {\n      \"latency_budget_ms\": 15025,\n      \"max_results_budget\": 100,\n      \"min_resolution_confidence\": 0.5,\n      \"strict_mode\": true\n    },\n    \"parent_step_id\": \"<string>\",\n    \"tags\": [\n      \"<string>\"\n    ]\n  },\n  \"context\": {\n    \"sector\": \"<string>\"\n  },\n  \"cursor\": \"<string>\",\n  \"expected_types\": [\n    \"<string>\"\n  ],\n  \"max_results\": 10,\n  \"query\": \"<string>\",\n  \"resolution\": {\n    \"include_aliases\": false,\n    \"include_metadata\": false,\n    \"max_results\": 5\n  },\n  \"subject\": {\n    \"canonical_id\": \"<string>\",\n    \"entity_type\": \"<string>\",\n    \"canonical_name\": \"<string>\"\n  }\n}"

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

{
  "context": {
    "sector": "<string>"
  },
  "items": [
    {
      "evidence_id": "<string>",
      "evidence_type": "<string>",
      "support_score": 123,
      "attributes": {},
      "published_date": "<string>",
      "source_url": "<string>",
      "summary_stub": "<string>",
      "title": "<string>"
    }
  ],
  "max_results": 123,
  "metadata": {},
  "resolution": {
    "candidates": [
      {
        "canonical_id": "<string>",
        "canonical_name": "<string>",
        "entity_type": "<string>",
        "match_type": "<string>",
        "score": 123,
        "aliases": [
          "<string>"
        ],
        "matched_on": "<string>",
        "metadata": {}
      }
    ],
    "canonical_id": "<string>",
    "canonical_name": "<string>",
    "entity_type": "<string>",
    "resolution_confidence": 123
  },
  "next_cursor": "<string>",
  "subject": {
    "canonical_id": "<string>",
    "entity_type": "<string>",
    "canonical_name": "<string>"
  }
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "ctx": {},
      "input": "<unknown>"
    }
  ]
}