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
"s2dwk4q4lfmr"
"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