Delete API_ENHANCEMENTS.md

API_ENHANCEMENTS.md

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-# API Enhancements Summary
-
-## Overview
-
-The MCP Server has been enhanced to include all important methods from `FinancialAnalyzer`, providing both basic and advanced financial data analysis capabilities.
-
-## Total API Endpoints: 9
-
-### Basic Endpoints (6) - Using `EdgarDataClient`
-
-1. **POST /api/search_company**
-   - Search company by name
-   - Returns: CIK, name, ticker
-
-2. **POST /api/get_company_info**
-   - Get detailed company information
-   - Returns: Full company details with SIC
-
-3. **POST /api/get_company_filings**
-   - Get company SEC filings
-   - Supports: 10-K, 10-Q, 20-F, etc.
-
-4. **POST /api/get_company_facts**
-   - Get complete XBRL financial facts
-   - Returns: Raw financial data
-
-5. **POST /api/get_financial_data**
-   - Get financial data for specific period
-   - Supports: Annual (YYYY) and Quarterly (YYYYQX)
-
-6. **GET /health**
-   - Health check endpoint
-   - Returns: Server status
-
-### Advanced Endpoints (3) - Using `FinancialAnalyzer` ⭐
-
-#### 7. POST /api/advanced_search
-**Purpose**: Intelligent company search supporting both name and CIK
-
-**From**: `FinancialAnalyzer.search_company()`
-
-**Request**:
-```json
-{
-  "company_input": "Apple"  // or "0000320193"
-}
-```
-
-**Features**:
-- Auto-detects input type (name vs CIK)
-- Returns complete company information
-- More intelligent than basic search
-
-**Use Case**: When you don't know if user input is name or CIK
-
----
-
-#### 8. POST /api/extract_financial_metrics
-**Purpose**: Extract multi-year financial metrics (annual + quarterly)
-
-**From**: `FinancialAnalyzer.extract_financial_metrics()`
-
-**Request**:
-```json
-{
-  "cik": "0001045810",
-  "years": 3
-}
-```
-
-**Response**:
-```json
-{
-  "metrics": [
-    {
-      "period": "2024",
-      "total_revenue": 60922000000,
-      "net_income": 29760000000,
-      "earnings_per_share": 12.04,
-      ...
-    },
-    {
-      "period": "2024Q4",
-      ...
-    },
-    {
-      "period": "2024Q3",
-      ...
-    }
-  ],
-  "count": 15
-}
-```
-
-**Features**:
-- Returns both annual and quarterly data
-- Automatically formats data
-- Sorted by period (newest first)
-- Configurable years (1-10)
-
-**Use Cases**:
-- Historical trend analysis
-- Multi-period comparison
-- Financial modeling
-- Data visualization
-
----
-
-#### 9. POST /api/get_latest_financial_data
-**Purpose**: Get the most recent annual financial data
-
-**From**: `FinancialAnalyzer.get_latest_financial_data()`
-
-**Request**:
-```json
-{
-  "cik": "0001045810"
-}
-```
-
-**Response**:
-```json
-{
-  "period": "2024",
-  "total_revenue": 60922000000,
-  "net_income": 29760000000,
-  "earnings_per_share": 12.04,
-  "operating_expenses": 11822000000,
-  "operating_cash_flow": 28091000000,
-  "source_url": "https://www.sec.gov/...",
-  "source_form": "10-K"
-}
-```
-
-**Features**:
-- Automatically finds latest fiscal year
-- No need to know the year
-- Returns most recent 10-K or 20-F data
-
-**Use Cases**:
-- Quick company snapshot
-- Current financial position
-- Latest performance metrics
-
----
-
-## Key Benefits
-
-### 1. **Flexibility**
-- Basic endpoints for precise queries
-- Advanced endpoints for intelligent analysis
-
-### 2. **Efficiency**
-- `extract_financial_metrics` - Get multiple years in one call
-- `get_latest_financial_data` - No need to determine fiscal year
-- `advanced_search` - Flexible input handling
-
-### 3. **Complete Coverage**
-All important `FinancialAnalyzer` methods are now exposed:
-- ✅ `search_company()` → `/api/advanced_search`
-- ✅ `extract_financial_metrics()` → `/api/extract_financial_metrics`
-- ✅ `get_latest_financial_data()` → `/api/get_latest_financial_data`
-
-### 4. **Data Quality**
-- Automatic data formatting
-- Consistent response structure
-- Comprehensive error handling
-
-## Comparison: Basic vs Advanced
-
-| Feature | Basic Endpoint | Advanced Endpoint |
-|---------|---------------|-------------------|
-| Company Search | `/api/search_company` | `/api/advanced_search` |
-| Input Type | Name only | Name or CIK |
-| Return Data | Basic (CIK, name, ticker) | Complete (includes SIC) |
-| | | |
-| Financial Data | `/api/get_financial_data` | `/api/extract_financial_metrics` |
-| Period | Single period | Multiple years |
-| Data Type | Annual OR quarterly | Annual AND quarterly |
-| Request Count | 1 per period | 1 for all periods |
-| | | |
-| Latest Data | `/api/get_financial_data` | `/api/get_latest_financial_data` |
-| Year Required | Yes (must specify) | No (auto-detects) |
-| Convenience | Manual | Automatic |
-
-## Usage Examples
-
-### Example 1: Quick Company Analysis
-
-```python
-import requests
-
-BASE_URL = "https://YOUR_SPACE.hf.space"
-
-# Step 1: Advanced search (works with name or CIK)
-response = requests.post(
-    f"{BASE_URL}/api/advanced_search",
-    json={"company_input": "NVIDIA"}
-)
-company = response.json()
-cik = company['cik']
-
-# Step 2: Get latest data (no year needed!)
-response = requests.post(
-    f"{BASE_URL}/api/get_latest_financial_data",
-    json={"cik": cik}
-)
-latest = response.json()
-print(f"Latest FY{latest['period']} Revenue: ${latest['total_revenue']:,.0f}")
-```
-
-### Example 2: Multi-Year Trend Analysis
-
-```python
-# Get 5 years of data in one call
-response = requests.post(
-    f"{BASE_URL}/api/extract_financial_metrics",
-    json={"cik": cik, "years": 5}
-)
-data = response.json()
-
-# Analyze trends
-import pandas as pd
-df = pd.DataFrame(data['metrics'])
-annual_data = df[~df['period'].str.contains('Q')]  # Filter annual only
-print(annual_data[['period', 'total_revenue', 'net_income']])
-```
-
-### Example 3: Flexible Search
-
-```python
-# Works with either input type
-def search_company(input_str):
-    response = requests.post(
-        f"{BASE_URL}/api/advanced_search",
-        json={"company_input": input_str}
-    )
-    return response.json()
-
-# Both work!
-result1 = search_company("Apple")         # By name
-result2 = search_company("0000320193")    # By CIK
-```
-
-## Documentation
-
-- **Complete API Examples**: See `mcp_client_examples.json`
-- **Interactive Testing**: Visit `/docs` (Swagger UI)
-- **Detailed Usage**: See `API_USAGE.md`
-
-## Summary
-
-The MCP Server now provides **9 comprehensive API endpoints** covering:
-- ✅ Basic data retrieval (EdgarDataClient)
-- ✅ Advanced analysis (FinancialAnalyzer)
-- ✅ Flexible search options
-- ✅ Multi-year data extraction
-- ✅ Automatic latest data retrieval
-
-All important functionality from both `edgar_client.py` and `financial_analyzer.py` is now accessible via RESTful APIs! 🎉