Model Optimization Cloud

Queue a bounded parameter sweep against an approved FinanceGPT quantitative model and objective.

Version: v2

Stability: stable

Sandbox: Available

Production: Entitlement required

Target latency: ≤ 250 ms

POST/api/v2/quant/compute/optimizations

M21 bounds parameter grids to 200 candidates and executes only registered FinanceGPT quantitative models.

Required scope: quant:compute:run

Try it in the FinanceGPT sandbox

The playground uses deterministic isolated sandbox fixtures. It never queries production workspace data and does not require you to paste an API secret into the browser.

Example response

{
    "data": {
        "job_uid": "00000000-0000-4000-8000-000000000023",
        "job_type": "optimization",
        "status": "queued"
    }
}

Code examples

curl

curl -X POST \
  https://equitygpt.app/api/v2/quant/compute/optimizations \
  -H "Authorization: Bearer $FINANCEGPT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input":{"model_key":"valuation.dcf_two_stage","base_input":{"cash_flows":[100,110,120,130,140],"terminal_growth":0.0299999999999999988897769753748434595763683319091796875},"parameter_grid":{"discount_rate":[0.08000000000000000166533453693773481063544750213623046875,0.0899999999999999966693309261245303787291049957275390625,0.1000000000000000055511151231257827021181583404541015625]},"objective_path":"enterprise_value","direction":"max"}}'

python

import os, requests

url = "https://equitygpt.app/api/v2/quant/compute/optimizations"
headers = {"Authorization": f"Bearer {os.environ['FINANCEGPT_API_KEY']}"}
payload = {
    "input": {
        "model_key": "valuation.dcf_two_stage",
        "base_input": {
            "cash_flows": [
                100,
                110,
                120,
                130,
                140
            ],
            "terminal_growth": 0.0299999999999999988897769753748434595763683319091796875
        },
        "parameter_grid": {
            "discount_rate": [
                0.08000000000000000166533453693773481063544750213623046875,
                0.0899999999999999966693309261245303787291049957275390625,
                0.1000000000000000055511151231257827021181583404541015625
            ]
        },
        "objective_path": "enterprise_value",
        "direction": "max"
    }
}
response = requests.request("POST", url, headers=headers, json=payload)
response.raise_for_status()
print(response.json())

javascript

const response = await fetch('https://equitygpt.app/api/v2/quant/compute/optimizations', {
  method: 'POST',
  headers: { Authorization: `Bearer ${process.env.FINANCEGPT_API_KEY}`, 'Content-Type': 'application/json' },
  body: JSON.stringify({"input":{"model_key":"valuation.dcf_two_stage","base_input":{"cash_flows":[100,110,120,130,140],"terminal_growth":0.0299999999999999988897769753748434595763683319091796875},"parameter_grid":{"discount_rate":[0.08000000000000000166533453693773481063544750213623046875,0.0899999999999999966693309261245303787291049957275390625,0.1000000000000000055511151231257827021181583404541015625]},"objective_path":"enterprise_value","direction":"max"}})
});
if (!response.ok) throw new Error(`FinanceGPT ${response.status}`);
console.log(await response.json());

php

<?php
$ch = curl_init('https://equitygpt.app/api/v2/quant/compute/optimizations');
curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER => true, CURLOPT_CUSTOMREQUEST => 'POST', CURLOPT_HTTPHEADER => ['Authorization: Bearer '.getenv('FINANCEGPT_API_KEY'), 'Content-Type: application/json'], CURLOPT_POSTFIELDS => '{\"input\":{\"model_key\":\"valuation.dcf_two_stage\",\"base_input\":{\"cash_flows\":[100,110,120,130,140],\"terminal_growth\":0.0299999999999999988897769753748434595763683319091796875},\"parameter_grid\":{\"discount_rate\":[0.08000000000000000166533453693773481063544750213623046875,0.0899999999999999966693309261245303787291049957275390625,0.1000000000000000055511151231257827021181583404541015625]},\"objective_path\":\"enterprise_value\",\"direction\":\"max\"}}']);
$response = curl_exec($ch);
if (curl_getinfo($ch, CURLINFO_HTTP_CODE) >= 400) throw new RuntimeException($response);
echo $response;

Versions & changelog

v2 published

M21 publication of this governed FinanceGPT API operation.

Ready to build?

Explorer gives immediate isolated sandbox access. Production plans require a commercial entitlement.

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