Generate a Signal Card

curl --request POST \
  --url https://app.dacard.ai/api/signal-score \
  --header 'Content-Type: application/json' \
  --data '
{
  "displayName": "Sarah K.",
  "openEndedResponse": "<string>",
  "practiceSelections": [
    "<string>"
  ],
  "confidenceRatings": {
    "data_driven_decisions": 4,
    "cross_functional_alignment": 3,
    "technical_depth": 5,
    "customer_empathy": 4,
    "strategic_clarity": 3
  }
}
'

import requests

url = "https://app.dacard.ai/api/signal-score"

payload = {
    "displayName": "Sarah K.",
    "openEndedResponse": "<string>",
    "practiceSelections": ["<string>"],
    "confidenceRatings": {
        "data_driven_decisions": 4,
        "cross_functional_alignment": 3,
        "technical_depth": 5,
        "customer_empathy": 4,
        "strategic_clarity": 3
    }
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    displayName: 'Sarah K.',
    openEndedResponse: '<string>',
    practiceSelections: ['<string>'],
    confidenceRatings: {
      data_driven_decisions: 4,
      cross_functional_alignment: 3,
      technical_depth: 5,
      customer_empathy: 4,
      strategic_clarity: 3
    }
  })
};

fetch('https://app.dacard.ai/api/signal-score', 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://app.dacard.ai/api/signal-score",
  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([
    'displayName' => 'Sarah K.',
    'openEndedResponse' => '<string>',
    'practiceSelections' => [
        '<string>'
    ],
    'confidenceRatings' => [
        'data_driven_decisions' => 4,
        'cross_functional_alignment' => 3,
        'technical_depth' => 5,
        'customer_empathy' => 4,
        'strategic_clarity' => 3
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "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://app.dacard.ai/api/signal-score"

	payload := strings.NewReader("{\n  \"displayName\": \"Sarah K.\",\n  \"openEndedResponse\": \"<string>\",\n  \"practiceSelections\": [\n    \"<string>\"\n  ],\n  \"confidenceRatings\": {\n    \"data_driven_decisions\": 4,\n    \"cross_functional_alignment\": 3,\n    \"technical_depth\": 5,\n    \"customer_empathy\": 4,\n    \"strategic_clarity\": 3\n  }\n}")

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

	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://app.dacard.ai/api/signal-score")
  .header("Content-Type", "application/json")
  .body("{\n  \"displayName\": \"Sarah K.\",\n  \"openEndedResponse\": \"<string>\",\n  \"practiceSelections\": [\n    \"<string>\"\n  ],\n  \"confidenceRatings\": {\n    \"data_driven_decisions\": 4,\n    \"cross_functional_alignment\": 3,\n    \"technical_depth\": 5,\n    \"customer_empathy\": 4,\n    \"strategic_clarity\": 3\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.dacard.ai/api/signal-score")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"displayName\": \"Sarah K.\",\n  \"openEndedResponse\": \"<string>\",\n  \"practiceSelections\": [\n    \"<string>\"\n  ],\n  \"confidenceRatings\": {\n    \"data_driven_decisions\": 4,\n    \"cross_functional_alignment\": 3,\n    \"technical_depth\": 5,\n    \"customer_empathy\": 4,\n    \"strategic_clarity\": 3\n  }\n}"

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

{
  "card": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "displayName": "<string>",
    "functionId": "<string>",
    "level": "<string>",
    "totalScore": 123,
    "normalizedScore": 50,
    "stageName": "<string>",
    "dimensions": [
      {
        "dimensionId": "<string>",
        "dimensionName": "<string>",
        "score": 50,
        "stageName": "<string>"
      }
    ],
    "narrative": "<string>",
    "peerPercentile": 50
  },
  "shareId": "<string>",
  "shareUrl": "/c/abc123xyz"
}

{
  "error": "SIGNAL_VALIDATION_FAILED",
  "message": "Please complete all assessment fields.",
  "action": "Check your responses and try again."
}

{
  "error": "SIGNAL_RATE_LIMITED",
  "message": "You have already generated a signal card recently.",
  "action": "Try again in an hour."
}

{
  "error": "<string>",
  "code": "AUTH_REQUIRED",
  "message": "<string>",
  "details": "<unknown>"
}