Cite-Finance API

Production-grade financial data API with AI-powered synthesis

Overview

Cite-Finance provides SEC EDGAR data, market data, and financial calculations through a clean REST API with built-in AI synthesis capabilities.

Related MCP server: Financial Datasets MCP Server

What Makes Cite-Finance Different

✅ Zero Hallucination

Pure structured JSON responses - no LLM inference, no made-up numbers.

⚡ Lightning Fast

Sub-300ms p95 latency with 99.9% SLA (Pro tier).

📊 Consistency Scores

Cross-source validation gives you a 0-1 confidence metric on every response.

🔗 SEC Citations

Every data point includes direct links to source filings - perfect for compliance.

🤖 LLM-Ready Format

format=llm option returns prompt-ready text snippets with metadata.

🛡️ Production Grade

Sentry monitoring, Stripe billing, Redis caching, full observability.

Architecture

cite-finance-api/
├── src/
│   ├── api/          # API routes (FastAPI)
│   ├── core/         # Business logic (calculations, metrics)
│   ├── data_sources/ # Plugin-based data source adapters
│   ├── auth/         # API key management
│   ├── billing/      # Stripe integration, usage tracking
│   ├── middleware/   # Rate limiting, auth
│   ├── models/       # Pydantic models
│   └── utils/        # Shared utilities
├── tests/            # Test suite
├── docs/             # API documentation
└── config/           # Configuration files

Quick Start

Installation

pip install -r requirements.txt

Configuration

cp .env.example .env
# Edit .env with your API keys

Run

uvicorn src.main:app --reload

API Documentation

Once running, visit: http://localhost:8000/docs

Pricing

Quick Start

1. Get Your API Key

curl -X POST https://api.cite-finance.io/api/v1/auth/register \
  -H "Content-Type: application/json" \
  -d '{"email": "you@company.com"}'

2. Make Your First Request

curl -H "X-API-Key: your_key" \
  "https://api.cite-finance.io/api/v1/answers?ticker=AAPL&metric=revenue_ttm&format=json"

3. Get Structured, Cited Data

{
  "ticker": "AAPL",
  "metric": "revenue_ttm",
  "value": 383285000000,
  "unit": "USD",
  "period": "TTM",
  "as_of": "2024-09-30",
  "sources": [
    {
      "type": "sec_filing",
      "filing": "10-K",
      "url": "https://www.sec.gov/...",
      "excerpt": "Total net sales: $383,285 million"
    }
  ],
  "consistency_score": 0.96,
  "retrieved_at": "2025-11-24T12:00:00Z"
}

Key Benefits:

• ✅ Structured JSON (no hallucination)

• ✅ SEC citations with URLs

• ✅ 96% consistency score

• ✅ Sub-300ms response time

Use Cases

• AI Chatbots: Financial Q&A with verified sources

• Trading Bots: High-confidence data for algorithmic trading

• Dashboards: Real-time financial metrics with citations

• Research Tools: Compliance-ready data with SEC links

Documentation

• API Docs

• Monetization Guide

• Deployment Guide

• Integration Examples

Built For

LLM-first financial applications that need:

• Structured data (no hallucination)

• Verified sources (SEC citations)

• High confidence (consistency scores)

• Production speed (<300ms)

Ready to launch? See DEPLOYMENT_CHECKLIST.md

License

Proprietary - All Rights Reserved