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StockUp Developer API

Empower Your Apps with Quan Intelligence

Build high-performance stock analytics, automated valuation pipelines, and custom DCA simulators. Access institutional-grade financial forecasts and live news sentiment with milliseconds latency.

⚡ 500,000 free tokens included No credit card required

Official SDKs:

python

typescript

POST /v1/query

curl -X POST https://api.stockup.cc/v1/query \
  -H "Authorization: Bearer sk_quan_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "quan-3.3",
    "prompt": "Evaluate Tesla P/E compared to peers",
    "googleSearch": true
  }'

200 OK — Response (320ms)

{
  "ticker": "TSLA",
  "price": 260.48,
  "pe_ratio": 68.2,
  "sentiment": "Bullish",
  "summary": "TSLA\'s forward P/E continues to trade at a premium relative to traditional OEMs (average ~8.5x), reflecting strong automotive margins and autonomous driving projections..."
}

Built for High-Growth Financial Tools

Unlock advanced market intelligence APIs designed for modern fintech developers.

Ultra-Low Latency

Get sub-second response times using the speed-optimized Quan 3.0 model, perfect for microservices and real-time alerts.

Live Web Grounding

Query with real-time web searches. Intelligently fetch the latest earnings summaries, ratings adjustments, and financial announcements.

Deep Financial Context

Fully supports complex DCA calculations, compounding projections, historic performance queries, and asset comparisons.

Generous Free Tier

Develop, test, and iterate with 500,000 free tokens on the speed-optimized Quan 3.0 model. Pay only for what you scale past.

What Will You Build?

Real-world financial applications built with the speed and reasoning of Quan.

DCA & Compound Backtesters

Simulate dollar-cost averaging paths, dividend compounding schemes, and tax-deferred projections against historical indexes in under 20ms.

Real-Time Sentiment Monitors

Parse hundreds of market news articles, blog feeds, and earnings transcripts per minute, computing instant ticker-level sentiment indicators.

Automated SEC filing auditors

Pull balance sheet columns directly from 10-K filings, flag changes in goodwill or leverage ratios, and generate investor valuation reports.

Finance-Domain Performance Benchmarks

How Quan models stack up against general-purpose LLMs on complex financial tasks.

Domain-Specific Training

Why Financial Generalists Fail

General-purpose AI models are trained on novels, chat logs, and generic code. When faced with complex compounding math, multi-ticker financial disclosures, or SEC filing cross-references, they frequently hallucinate figures.

Quan models undergo specialized domain training on 8 Trillion tokens of SEC corporate filings, historical stock pricing data, DCF math frameworks, and institutional market reports, resulting in industry-leading accuracy.

GPT-4o 82.1% Accuracy

Claude 3.5 Sonnet 85.0% Accuracy

Quan 3.3 (Standard) 98.6% Accuracy

Which Quan model is right for you?

Compare technical capabilities, response speeds, and pricing side-by-side.

SPEED OPTIMIZED

Quan 3.0

A dense financial-optimized model tailored for high-frequency trading services, fast summarization pipelines, and low-latency API wrappers. Cheep, effecient, Best for most cases.

120+ Tokens Per Second

Pricing Free for first 500,000 tokens
$0.20 / 1M input tokens • $0.80 / 1M output tokens

Model Capacity 8 Billion parameters
Dense architectural representation

Search Grounding Standard Web Search
Retrieves general market indexes and sites

Engine Architecture Grouped-Query Attention (GQA)
Optimized memory footprint & latency

Hardware Acceleration NVIDIA H100 Tensor Core GPU

FLAGSHIP REASONING

Quan 3.3 (Standard)

Our flagship Deeper reasoning model designed to solve multi-stage financial calculations, complex quantitative graphs, and live web grounding actions. Best for more thinking is needed.

45+ Tokens Per Second

Pricing $1.50 / 1M input tokens
$6.00 / 1M output tokens • $0.02 grounding fee

Model Capacity 70 Billion parameters
Deep parameter matrix for advanced inference

Search Grounding Google Search Grounding (Live)
Natively queries active real-time Google databases

Engine Architecture FlashAttention-2
High-efficiency transformer optimization

Hardware Acceleration NVIDIA H100 Multi-Node GPU Cluster

ADVANCED REASONING

Quan 3.3 (Deep Research)

Our advanced, ultra-high reasoning model optimized for deep portfolio modeling, competitive supply-chain audits, and exhaustive macroeconomic investigative scours. Best for intensive financial investigations.

20+ Tokens Per Second

Pricing $4.00 / 1M input tokens
$16.00 / 1M output tokens • $0.02 grounding fee

Model Capacity 2 Million token context
Ultra-large context window for extensive filings analyses

Search Grounding Aggressive Multi-Layer Scour
Aggregates competitor competitor read-throughs & SEC delta tracking

Engine Architecture FlashAttention-2 (Pro)
Enhanced memory mapping for high-context windows

Hardware Acceleration NVIDIA H100 GPU Clusters (High-Memory)

Built for Production-Grade Systems

Security, data integrity, and cost transparency you can depend on.

Enterprise-Grade Security

All API keys are encrypted at rest using AES-256. API calls leverage secure HTTPS endpoints with TLS 1.3 encryption and configurable CORS permissions.

Institutional Data Pipeline

Direct feed connection with SEC EDGAR filings, historical stock pricing indexes, live press-releases, and normalized quarterly results feeds.

Prepaid Wallet Billing

Maintain full control over your spending. Add credits to your balance as you go with zero recurring markup costs or surprise usage spikes.

Developer Integration Spotlights

Real-world financial architectures powered by Quan models.

Retail DCA Investing Application

Automated Valuation & Compound Simulators

Integrated Quan 3.0 to generate instant compounding forecasts and DCF calculators for 10,000+ retail investment accounts. Calculations are fully accurate and cost-effective.

120ms Avg Latency

99.8% Math Accuracy

65% Cost Savings

High-Frequency Retail Analytics

Real-Time Headline Sentiment Pipeline

Deploys Quan 3.0 to scan over 10,000 headlines daily, outputting instant ticker-level sentiment indicators that trigger automated portfolio alerts. The 500k free tier permitted complete sandbox testing.

10k+ Daily Headlines

99.4% F1-Sentiment

Free Sandbox Testing

Quantitative Research Firm

Automated SEC Filing Audit Engine

Leverages Quan 3.3 (Standard) with Google Search grounding to parse newly filed SEC 10-Ks, compute custom solvency scores, and generate instant reports with citations.

400ms Search Retrieval

EDGAR Live Pipeline

Cited Output Sources

Frequently Asked Questions

Answers to common technical questions about the StockUp Developer API.

What is the StockUp Developer API?

The StockUp Developer API is an institutional-grade stock intelligence and reasoning endpoint built on top of our custom-tuned Quan 3.0 and Quan 3.3 (Standard) financial models. It allows external developers to query stock valuations, backtest compound projections, extract news sentiment, and perform live web search grounding directly from their apps.

How do the token limits and pricing work?

We offer a generous free tier of 500,000 free tokens combined on our speed-optimized Quan 3.0 model to let you build, test, and iterate without spending anything. Once you cross this free limit, usage is billed at $0.20 per 1M input tokens and $0.80 per 1M output tokens.

Our flagship Quan 3.3 (Standard) model is billed at $1.50 per 1M input tokens and $6.00 per 1M output tokens, plus a flat $0.02 grounding fee if real-time Google Search is enabled.

What is the prepaid wallet billing system?

Instead of forcing you into a monthly subscription plan with hidden costs, StockUp utilizes a prepaid credit system. You simply top up your developer wallet (e.g. $10, $25, or $50) inside the Developer Console, and transactional fees are deducted from your balance in real-time. If your balance hits zero, queries are paused, ensuring you never receive an unexpected bill.

Which programming languages / SDKs are supported?

You can interact with the StockUp API from any programming language using standard HTTP requests. We support streaming (Server-Sent Events) and JSON response formats natively. Additionally, we are preparing official SDK libraries for Python, TypeScript/JavaScript, and Go to speed up your integrations.

Is the connection secure?

Absolutely. All requests to https://api.stockup.cc/v1/query require a valid API key passed via the x-api-key header or the Bearer Authorization token header. Requests are processed over HTTPS (TLS 1.3), and user profiles are stored securely in our Firebase backend. Your credentials are never stored in plain text.

Ready to build your next financial feature?

Create a developer account in seconds. Get immediate access to your free token quota and interactive playground.

StockUp API Access

Developer Console

Build custom stock analytics tools, DCA calculations, and automated report pipelines using the power of Quan 3.0 and 3.3.

Overview

Total API Requests 100% Success Rate

Total API Errors

No data available

Generate content & Live API

Input Tokens per model

Output Tokens per model

Requests per model

API Credentials

Loading your keys...

API Documentation

HTTP Request (POST)

curl -X POST "https://stockup-4ab83.web.app/quanPublicApi" \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "model": "quan-3.3",
    "messages": [
      { "role": "user", "content": "How has AAPL performed recently?" }
    ],
    "stream": false
  }'

Javascript (SSE Streaming)

const response = await fetch("https://stockup-4ab83.web.app/quanPublicApi", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "x-api-key": "YOUR_API_KEY"
  },
  body: JSON.stringify({
    model: "quan-3.3",
    messages: [
      { role: "user", content: "Explain DCA in 1 sentence." }
    ],
    stream: true
  })
});

const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = "";

while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  buffer += decoder.decode(value, { stream: true });
  const lines = buffer.split("\n");
  buffer = lines.pop();

  for (const line of lines) {
    if (line.startsWith("data: ")) {
      const payload = line.slice(6).trim();
      if (payload === "[DONE]") {
        console.log("Stream complete.");
        break;
      }
      const data = JSON.parse(payload);
      const textChunk = data.candidates?.[0]?.content?.parts?.[0]?.text || "";
      process.stdout.write(textChunk);
    }
  }
}

Python (Requests)

import requests
import json

url = "https://stockup-4ab83.web.app/quanPublicApi"
headers = {
    "Content-Type": "application/json",
    "x-api-key": "YOUR_API_KEY"
}
payload = {
    "model": "quan-3.3",
    "messages": [
        {"role": "user", "content": "Explain compound interest."}
    ],
    "stream": False
}

response = requests.post(url, headers=headers, json=payload)
data = response.json()
answer = data['candidates'][0]['content']['parts'][0]['text']
print(answer)

Parameters

Param	Type	Description
model	string	Either `quan-3.0` or `quan-3.3` (Standard). Defaults to `quan-3.3`.
messages	array	List of `{role: "user"\|"assistant", content: "..."}`. OpenAI format.
stream	boolean	Whether to stream response chunks back via Server-Sent Events. Default: `true`.
googleSearch	boolean	Enables Live Google Search grounding. Cost: +$0.02 per search query. Default: `true`.

Spend & Usage Monitor

Available Wallet Balance

$0.00

Filtered Spend

$0.00 Today

Quan 3.0 Free Tier Quota 0 / 500k tkn

Free Tier Note: Your first 500,000 combined tokens used on the speed-optimized Quan 3.0 model are free. Billing only starts after crossing this quota.

Spend Breakdown

Quan 3.0

0 tokens

$0.00

Quan 3.3 (Standard)

0 tokens

$0.00

Google Search Grounding: 0 queries

Quan 3.3 (Deep Research)

0 tokens

$0.00

Google Search Grounding: 0 queries

Supported API Models

Model Specifications

Compare performance, latency, pricing, and context limits of the Quan LLM API family to choose the right model for your application.

Speed-Optimized

Quan 3.0

quan-3.0

A dense financial-optimized model tailored for high-frequency trading services, fast summarization pipelines, and low-latency API wrappers. Cheap, efficient, Best for most cases.

Latency / Speed: ~1.0s (Fast)

Input Cost: $0.20 / 1M tokens

Output Cost: $0.80 / 1M tokens

Context Limit: 128k tokens

Grounding Source: Standard Web Search

Flagship

Quan 3.3 (Standard)

quan-3.3

Our flagship Deeper reasoning model designed to solve multi-stage financial calculations, complex quantitative graphs, and live web grounding actions. Best for more thinking is needed.

Latency / Speed: ~3.5s (Deep Reasoning)

Input Cost: $1.50 / 1M tokens

Output Cost: $6.00 / 1M tokens

Context Limit: 1M tokens

Grounding Source: Live Search (+$0.02/req)

Advanced Reasoning

Quan 3.3 (Deep Research)

quan-3.3-deep-research

Latency / Speed: ~7.5s (Deep Scour & Reason)

Input Cost: $4.00 / 1M tokens

Output Cost: $16.00 / 1M tokens

Context Limit: 2M tokens

Grounding Source: Aggressive Multi-Layer Scour

Sign In to Developer Console

Empower Your Apps with Quan Intelligence

Built for High-Growth Financial Tools

Ultra-Low Latency

Live Web Grounding

Deep Financial Context

Generous Free Tier

What Will You Build?

DCA & Compound Backtesters

Real-Time Sentiment Monitors

Automated SEC filing auditors

Finance-Domain Performance Benchmarks

Why Financial Generalists Fail

Which Quan model is right for you?

Quan 3.0

Quan 3.3 (Standard)

Quan 3.3 (Deep Research)

Built for Production-Grade Systems

Enterprise-Grade Security

Institutional Data Pipeline

Prepaid Wallet Billing

Developer Integration Spotlights

Automated Valuation & Compound Simulators

Real-Time Headline Sentiment Pipeline

Automated SEC Filing Audit Engine

Frequently Asked Questions

What is the StockUp Developer API?

How do the token limits and pricing work?

What is the prepaid wallet billing system?

Which programming languages / SDKs are supported?

Is the connection secure?

Ready to build your next financial feature?

Developer Console

API Credentials

API Documentation

Parameters

Spend & Usage Monitor

Spend Breakdown

Model Specifications

Quan 3.0

Quan 3.3 (Standard)

Quan 3.3 (Deep Research)

API Playground

Controls

API Key Generated

Add Wallet Funds