• Gooey.AI (Dara.network Inc)
  • API: Financial Report Maker


    📖 To learn more, take a look at our complete API

    📤 Example Request

    1. Generate an api key below👇

    2. Install node-fetch & add the GOOEY_API_KEY to your environment variables.
      Never store the api key in your code and don't use direcly in the browser.

    $ npm install node-fetch
    $ export GOOEY_API_KEY=sk-xxxx
    
    1. Use this sample code to call the API.
      If you encounter any issues, write to us at [email protected] and make sure to include the full code snippet and the error message.
    import fetch from 'node-fetch';
    
    const payload = {
      "input_prompt": "```[example report]\n          {{ examplereport }} \n          ```You are a financial analyst working in a capital investment firm. Please follow the steps below: \\n1. \n          Analyse and summarise the [finance report] and [transcripts] below in triple separators, don't create any output right now. \n          Once you have analysed and summarised the data, create a report for the company that is similar to the [example report] template above in the triple backticks. \n          Use the buy/hold/sell information from the [decision] input provided. Don't analyse your own.\n          Ensure you follow the [example report] format, headers, writing style and paragraphs styles exactly.\n          note: dont make up any information\n          note: if information as per the [example report] template is missing please add a note \"team must fill this information\"\n          |||[finance report] \n          {{ financereport }} \n          \n          [transcripts] \n          {{ transcripts }} \n          \n          [decision]\n          {{ decision }}\n          |||",
      "selected_models": [
        "gpt_4_turbo"
      ]
    };
    
    async function gooeyAPI() {
      const response = await fetch("https://api.gooey.ai/v2/CompareLLM?example_id=820aduz5", {
        method: "POST",
        headers: {
          "Authorization": "bearer " + process.env["GOOEY_API_KEY"],
          "Content-Type": "application/json",
        },
        body: JSON.stringify(payload),
      });
    
      if (!response.ok) {
        throw new Error(response.status);
      }
    
      const result = await response.json();
      console.log(response.status, result);
    }
    
    gooeyAPI();
    
    1. Generate an api key below👇

    2. Install requests & add the GOOEY_API_KEY to your environment variables.
      Never store the api key in your code.

    $ python3 -m pip install requests
    $ export GOOEY_API_KEY=sk-xxxx
    
    1. Use this sample code to call the API.
      If you encounter any issues, write to us at [email protected] and make sure to include the full code snippet and the error message.
    import os
    import requests
    
    payload = {
        "input_prompt": "```[example report]\n          {{ examplereport }} \n          ```You are a financial analyst working in a capital investment firm. Please follow the steps below: \\n1. \n          Analyse and summarise the [finance report] and [transcripts] below in triple separators, don't create any output right now. \n          Once you have analysed and summarised the data, create a report for the company that is similar to the [example report] template above in the triple backticks. \n          Use the buy/hold/sell information from the [decision] input provided. Don't analyse your own.\n          Ensure you follow the [example report] format, headers, writing style and paragraphs styles exactly.\n          note: dont make up any information\n          note: if information as per the [example report] template is missing please add a note \"team must fill this information\"\n          |||[finance report] \n          {{ financereport }} \n          \n          [transcripts] \n          {{ transcripts }} \n          \n          [decision]\n          {{ decision }}\n          |||",
        "selected_models": ["gpt_4_turbo"],
    }
    
    response = requests.post(
        "https://api.gooey.ai/v2/CompareLLM?example_id=820aduz5",
        headers={
            "Authorization": "bearer " + os.environ["GOOEY_API_KEY"],
        },
        json=payload,
    )
    assert response.ok, response.content
    
    result = response.json()
    print(response.status_code, result)
    
    1. Generate an api key below👇

    2. Install curl & add the GOOEY_API_KEY to your environment variables.
      Never store the api key in your code.

    export GOOEY_API_KEY=sk-xxxx
    
    1. Run the following curl command in your terminal.
      If you encounter any issues, write to us at [email protected] and make sure to include the full curl command and the error message.
    curl 'https://api.gooey.ai/v2/CompareLLM?example_id=820aduz5' \
      -H "Authorization: bearer $GOOEY_API_KEY" \
      -H 'Content-Type: application/json' \
      -d '{
      "input_prompt": "```[example report]\n          {{ examplereport }} \n          ```You are a financial analyst working in a capital investment firm. Please follow the steps below: \\n1. \n          Analyse and summarise the [finance report] and [transcripts] below in triple separators, don'"'"'t create any output right now. \n          Once you have analysed and summarised the data, create a report for the company that is similar to the [example report] template above in the triple backticks. \n          Use the buy/hold/sell information from the [decision] input provided. Don'"'"'t analyse your own.\n          Ensure you follow the [example report] format, headers, writing style and paragraphs styles exactly.\n          note: dont make up any information\n          note: if information as per the [example report] template is missing please add a note \"team must fill this information\"\n          |||[finance report] \n          {{ financereport }} \n          \n          [transcripts] \n          {{ transcripts }} \n          \n          [decision]\n          {{ decision }}\n          |||",
      "selected_models": [
        "gpt_4_turbo"
      ]
    }'
    

    🎁 Example Response

    {4 Items
    "id"
    :
    string
    "o9lrmdx07if4"
    "url"
    :
    string
    "https://gooey.ai/compare-large-language-models/"
    "created_at"
    :
    string
    "2024-03-06T19:18:09.072657+00:00"
    "output"
    :
    {1 Items
    "output_text"
    :
    {1 Items
    "gpt_4_turbo"
    :
    [
    ]1 Items
    }
    }
    }

    Please Login to generate the $GOOEY_API_KEY