G-Prophet AI Skills Documentation

G-Prophet AI Skills Documentation

Stock prediction and market analysis capabilities for AI agents

Overview

G-Prophet is an AI-powered stock prediction platform that exposes its core capabilities through an external API for other AI agent systems. It supports global markets (China A-shares, US stocks, HK stocks, Crypto) and provides AI prediction, technical analysis, market sentiment, and deep analysis Skills.

Basic Information

Authentication

All requests must include an API Key in the HTTP header:

X-API-Key: gp_sk_live_your_api_key_here

API Keys can be created in the G-Prophet platform under "Settings → API Key Management".

Unified Response Format

Success Response

{
  "success": true,
  "data": { ... },
  "metadata": {
    "request_id": "req_abc123",
    "timestamp": "2026-02-18T10:30:00Z",
    "processing_time_ms": 1250,
    "api_version": "v1"
  },
  "error": null
}

Error Response

{
  "success": false,
  "data": null,
  "metadata": { ... },
  "error": {
    "code": "INVALID_SYMBOL",
    "message": "Stock symbol 'XXXXX' not found",
    "details": {}
  }
}

Points Cost

Skill 1: Stock Price Prediction

Predict future stock/cryptocurrency price movements using AI algorithms. Supports G-Prophet2026V1, LSTM, Transformer, and more.

POST /predictions/predict

Request Body (JSON):

Example Request:

curl -X POST "https://www.gprophet.com/api/external/v1/predictions/predict" \
  -H "X-API-Key: gp_sk_live_your_key" \
  -H "Content-Type: application/json" \
  -d '{"symbol": "AAPL", "market": "US", "days": 7, "algorithm": "auto"}'

Example Response:

{
  "success": true,
  "data": {
    "symbol": "AAPL",
    "market": "US",
    "current_price": 185.50,
    "predicted_price": 191.20,
    "change_percent": 3.07,
    "direction": "up",
    "confidence": 0.78,
    "prediction_days": 7,
    "algorithm_used": "gprophet2026v1",
    "data_quality": {
      "completeness": 1.0,
      "anomaly_count": 82,
      "missing_values": 0,
      "overall_score": 80
    },
    "points_consumed": 20
  }
}

POST /predictions/compare

Multi-algorithm comparison prediction. Returns results from each algorithm and the best recommendation. Points cost = single prediction cost × number of algorithms.

Request Body (JSON):

Example Request:

curl -X POST "https://www.gprophet.com/api/external/v1/predictions/compare" \
  -H "X-API-Key: gp_sk_live_your_key" \
  -H "Content-Type: application/json" \
  -d '{"symbol": "TSLA", "market": "US", "days": 5, "algorithms": ["gprophet2026v1", "lstm", "transformer"]}'

Example Response:

{
  "success": true,
  "data": {
    "symbol": "TSLA",
    "market": "US",
    "current_price": 245.00,
    "prediction_days": 5,
    "results": [
      {
        "algorithm": "gprophet2026v1",
        "predicted_price": 252.30,
        "change_percent": 2.98,
        "direction": "up",
        "confidence": 0.82,
        "success": true
      },
      {
        "algorithm": "lstm",
        "predicted_price": 248.10,
        "change_percent": 1.27,
        "direction": "up",
        "confidence": 0.71,
        "success": true
      }
    ],
    "best_algorithm": "gprophet2026v1",
    "consensus_direction": "up",
    "average_predicted_price": 250.20,
    "points_consumed": 60
  }
}

Skill 2: Market Data

Get real-time quotes, historical OHLCV data, and search for stocks/crypto. Each call costs 5 points.

GET /market-data/quote

Get real-time quote.

Query Parameters:

Example Request:

curl "https://www.gprophet.com/api/external/v1/market-data/quote?symbol=AAPL&market=US" \
  -H "X-API-Key: gp_sk_live_your_key"

Example Response:

{
  "success": true,
  "data": {
    "symbol": "AAPL",
    "market": "US",
    "name": "Apple Inc.",
    "price": 185.50,
    "open": 183.90,
    "high": 186.80,
    "low": 183.20,
    "volume": 52340000,
    "previous_close": 183.20,
    "change": 2.30,
    "change_percent": 1.26,
    "points_consumed": 5
  }
}

GET /market-data/history

Get historical OHLCV candlestick data.

Query Parameters:

Example Request:

curl "https://www.gprophet.com/api/external/v1/market-data/history?symbol=AAPL&market=US&period=3m" \
  -H "X-API-Key: gp_sk_live_your_key"

Example Response:

{
  "success": true,
  "data": {
    "symbol": "AAPL",
    "market": "US",
    "period": "3m",
    "data_points": 63,
    "history": [
      {
        "date": "2025-12-01",
        "open": 178.50,
        "high": 180.20,
        "low": 177.80,
        "close": 179.90,
        "volume": 48500000
      }
    ],
    "points_consumed": 5
  }
}

GET /market-data/search

Search for stocks/crypto by keyword.

Query Parameters:

Example Request:

curl "https://www.gprophet.com/api/external/v1/market-data/search?keyword=apple&market=US&limit=5" \
  -H "X-API-Key: gp_sk_live_your_key"

Skill 3: Technical Analysis

Calculate technical indicators and generate trading signals for a given stock. Each call costs 5 points.

POST /technical/analyze

Request Body (JSON):

Example Request:

curl -X POST "https://www.gprophet.com/api/external/v1/technical/analyze" \
  -H "X-API-Key: gp_sk_live_your_key" \
  -H "Content-Type: application/json" \
  -d '{"symbol": "AAPL", "market": "US", "indicators": ["rsi", "macd", "bollinger", "kdj"]}'

Example Response:

{
  "success": true,
  "data": {
    "symbol": "AAPL",
    "market": "US",
    "current_price": 185.50,
    "indicators": {
      "rsi_14": { "value": 55.3, "signal": "neutral" },
      "macd": { "macd": 1.25, "signal": 0.98, "histogram": 0.27, "signal_type": "bullish" },
      "bollinger": { "upper": 192.0, "middle": 185.0, "lower": 178.0, "position": 0.54 },
      "kdj": { "k": 65.2, "d": 58.7, "j": 78.2 }
    },
    "signals": [
      { "type": "bullish", "indicator": "MACD" },
      { "type": "neutral", "indicator": "RSI" }
    ],
    "overall_signal": "bullish",
    "signal_strength": 0.5,
    "points_consumed": 5
  }
}

Skill 4: Market Sentiment

Get market sentiment data including Fear & Greed Index and market overview. Each call costs 5 points.

GET /sentiment/fear-greed

Get the crypto market Fear & Greed Index.

Query Parameters:

Example Request:

curl "https://www.gprophet.com/api/external/v1/sentiment/fear-greed?days=1" \
  -H "X-API-Key: gp_sk_live_your_key"

Example Response:

{
  "success": true,
  "data": {
    "value": 72,
    "classification": "greed",
    "previous_value": 68,
    "change": 4,
    "points_consumed": 5
  }
}

GET /sentiment/market-overview

Get comprehensive market overview (breadth, hot sectors, major indices).

Query Parameters:

Example Request:

curl "https://www.gprophet.com/api/external/v1/sentiment/market-overview?market=CN" \
  -H "X-API-Key: gp_sk_live_your_key"

Skill 5: Deep Analysis (Async)

Multi-agent collaborative deep analysis evaluating stocks from 5 dimensions: technical, fundamental, capital flow, sentiment, and macro environment. Costs 150 points.

⚠️ Async Mode: Deep analysis typically takes 30-120 seconds, so this endpoint uses async mode.

1. POST /analysis/comprehensive → Returns task_id immediately
2. GET /analysis/task/{task_id} → Poll for status; get results when status=completed

Recommended polling interval: 5 seconds. Max wait: 5 minutes.

POST /analysis/comprehensive

Submit a deep analysis task. Returns task ID immediately.

Request Body (JSON):

Example Request:

curl -X POST "https://www.gprophet.com/api/external/v1/analysis/comprehensive" \
  -H "X-API-Key: gp_sk_live_your_key" \
  -H "Content-Type: application/json" \
  -d '{"symbol": "AAPL", "market": "US", "locale": "en-US"}'

Example Response (immediate):

{
  "success": true,
  "data": {
    "task_id": "task_abc123def456",
    "symbol": "AAPL",
    "market": "US",
    "status": "pending",
    "points_consumed": 150,
    "poll_url": "/api/external/v1/analysis/task/task_abc123def456",
    "message": "Analysis started. Poll the task URL every 5 seconds for results."
  }
}

GET /analysis/task/{task_id}

Poll analysis task status and results.

Path Parameters:

Example Request:

curl "https://www.gprophet.com/api/external/v1/analysis/task/task_abc123def456" \
  -H "X-API-Key: gp_sk_live_your_key"

Status Flow: pending → running (progress 0-100) → completed / failed

Example Response (in progress):

{
  "success": true,
  "data": {
    "task_id": "task_abc123def456",
    "status": "running",
    "progress": 45,
    "message": "Analyzing fundamental data...",
    "result": null,
    "error": null
  }
}

Example Response (completed):

{
  "success": true,
  "data": {
    "task_id": "task_abc123def456",
    "status": "completed",
    "progress": 100,
    "message": "Analysis completed",
    "result": {
      "symbol": "AAPL",
      "asset_type": "stock_us",
      "analysis": {
        "overall_rating": "bullish",
        "confidence": 0.75,
        "agents": {
          "technical": {
            "rating": "bullish",
            "confidence": 0.80,
            "key_points": ["MACD golden cross", "Above 20-day MA"],
            "summary": "Technical outlook is bullish..."
          },
          "fundamental": {
            "rating": "neutral",
            "confidence": 0.65,
            "key_points": ["Reasonable PE", "Revenue growth slowing"],
            "summary": "Fundamentals are neutral..."
          },
          "capital_flow": {
            "rating": "bullish",
            "confidence": 0.70,
            "key_points": ["Net institutional inflow"],
            "summary": "Capital flow is positive..."
          },
          "sentiment": {
            "rating": "neutral",
            "confidence": 0.60,
            "key_points": ["Stable market sentiment"],
            "summary": "Sentiment is neutral..."
          },
          "macro": {
            "rating": "cautious",
            "confidence": 0.55,
            "key_points": ["Rate hike expectations", "Geopolitical risks"],
            "summary": "Macro environment is cautious..."
          }
        },
        "final_recommendation": "Short-term bullish, consider buying on dips, watch macro risks",
        "risk_level": "medium"
      }
    },
    "error": null
  }
}

Example Response (failed):

{
  "success": true,
  "data": {
    "task_id": "task_abc123def456",
    "status": "failed",
    "progress": 100,
    "message": "Analysis service timeout",
    "result": null,
    "error": "Analysis service timeout"
  }
}

Error Codes

MCP Tools Definitions

MCP (Model Context Protocol) tool definitions for use with Claude, Kiro, and other MCP-compatible agents:

gprophet_predict_stock

{
  "name": "gprophet_predict_stock",
  "description": "Predict future stock/cryptocurrency price movements using G-Prophet AI. Supports multiple algorithms (G-Prophet2026V1, LSTM, Transformer, etc.) and global markets (China A-shares, US, HK, Crypto).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "symbol": { "type": "string", "description": "Stock/crypto ticker, e.g. AAPL, 600519, BTCUSDT" },
      "market": { "type": "string", "enum": ["US", "CN", "HK", "CRYPTO"], "description": "Market code" },
      "days": { "type": "integer", "minimum": 1, "maximum": 30, "default": 7, "description": "Prediction days" },
      "algorithm": { "type": "string", "enum": ["auto", "gprophet2026v1", "lstm", "transformer", "random_forest", "ensemble"], "default": "auto", "description": "Prediction algorithm" }
    },
    "required": ["symbol", "market"]
  }
}

gprophet_compare_algorithms

{
  "name": "gprophet_compare_algorithms",
  "description": "Compare multiple AI algorithms predicting the same stock simultaneously. Returns each algorithm's result and the best recommendation.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "symbol": { "type": "string", "description": "Stock/crypto ticker" },
      "market": { "type": "string", "enum": ["US", "CN", "HK", "CRYPTO"] },
      "days": { "type": "integer", "minimum": 1, "maximum": 30, "default": 5 },
      "algorithms": { "type": "array", "items": { "type": "string", "enum": ["gprophet2026v1", "lstm", "transformer", "random_forest", "ensemble"] }, "description": "Algorithm list, max 6" }
    },
    "required": ["symbol", "market"]
  }
}

gprophet_get_quote

{
  "name": "gprophet_get_quote",
  "description": "Get real-time stock/cryptocurrency quote including price, change, volume.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "symbol": { "type": "string", "description": "Stock/crypto ticker" },
      "market": { "type": "string", "enum": ["US", "CN", "HK", "CRYPTO"] }
    },
    "required": ["symbol", "market"]
  }
}

gprophet_get_history

{
  "name": "gprophet_get_history",
  "description": "Get historical OHLCV candlestick data for a stock/cryptocurrency.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "symbol": { "type": "string", "description": "Stock/crypto ticker" },
      "market": { "type": "string", "enum": ["US", "CN", "HK", "CRYPTO"] },
      "period": { "type": "string", "enum": ["1w", "1m", "3m", "6m", "1y", "2y"], "default": "3m", "description": "Time range" }
    },
    "required": ["symbol", "market"]
  }
}

gprophet_search_stocks

{
  "name": "gprophet_search_stocks",
  "description": "Search for stocks/cryptocurrencies by keyword.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "keyword": { "type": "string", "description": "Search keyword" },
      "market": { "type": "string", "enum": ["US", "CN", "HK", "CRYPTO"], "default": "US" },
      "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10 }
    },
    "required": ["keyword"]
  }
}

gprophet_technical_analysis

{
  "name": "gprophet_technical_analysis",
  "description": "Calculate technical indicators (RSI, MACD, Bollinger Bands, KDJ, etc.) and generate trading signals.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "symbol": { "type": "string", "description": "Stock/crypto ticker" },
      "market": { "type": "string", "enum": ["US", "CN", "HK", "CRYPTO"] },
      "indicators": { "type": "array", "items": { "type": "string", "enum": ["rsi", "macd", "bollinger", "kdj", "sma", "ema"] }, "default": ["rsi", "macd", "bollinger", "kdj"], "description": "Technical indicators to calculate" }
    },
    "required": ["symbol", "market"]
  }
}

gprophet_fear_greed_index

{
  "name": "gprophet_fear_greed_index",
  "description": "Get the crypto market Fear & Greed Index reflecting market sentiment.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "days": { "type": "integer", "minimum": 1, "maximum": 365, "default": 1, "description": "History days, 1=current only" }
    }
  }
}

gprophet_market_overview

{
  "name": "gprophet_market_overview",
  "description": "Get comprehensive market overview including breadth, hot sectors, and major indices.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "market": { "type": "string", "enum": ["CN", "US"], "default": "CN", "description": "Market code" }
    }
  }
}

gprophet_deep_analysis

{
  "name": "gprophet_deep_analysis",
  "description": "Multi-agent collaborative deep analysis (async mode). Submits an analysis task and returns task_id immediately. Use gprophet_get_analysis_task to poll for results. Evaluates stocks from 5 dimensions: technical, fundamental, capital flow, sentiment, and macro environment. Costs 150 points.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "symbol": { "type": "string", "description": "Stock/crypto ticker" },
      "market": { "type": "string", "enum": ["US", "CN", "HK", "CRYPTO"] },
      "locale": { "type": "string", "enum": ["zh-CN", "en-US"], "default": "zh-CN", "description": "Report language" }
    },
    "required": ["symbol", "market"]
  }
}

gprophet_get_analysis_task

{
  "name": "gprophet_get_analysis_task",
  "description": "Poll deep analysis task status. When status is 'completed', the result field contains the full analysis. When status is 'failed', the error field contains the error message. Recommended polling interval: 5 seconds. Max wait: 5 minutes.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "task_id": { "type": "string", "description": "Task ID returned by gprophet_deep_analysis" }
    },
    "required": ["task_id"]
  }
}

Integration Guide

Typical Prediction Flow

1. Call gprophet_predict_stock to get prediction results (sync, typically 5-30 seconds)
2. Use data.direction and data.confidence to assess the trend
3. Optional: Call gprophet_technical_analysis for technical confirmation

Typical Deep Analysis Flow

1. Call gprophet_deep_analysis to submit analysis task → get task_id
2. Poll gprophet_get_analysis_task every 5 seconds
3. When status = "completed", read the full report from result.analysis
4. When status = "failed", read the failure reason from error

Agent Integration Tips

• Search before predicting: If unsure about a ticker, use gprophet_search_stocks to confirm first
• Combine skills: Prediction + Technical Analysis + Sentiment = more comprehensive judgment
• Points management: Deep analysis costs 150 points; use it selectively for key targets
• Error handling: Check the success field; on failure, refer to error.code for retry logic or user messaging

Supported Market Codes

⚠️ A-share Ticker Notes:

• A-share tickers are 6-digit numbers; different prefixes indicate different exchanges/boards
• 6xxxxx = Shanghai Stock Exchange (Main Board / STAR Market)
• 0xxxxx = Shenzhen Stock Exchange (Main Board / SME Board)
• 3xxxxx = Shenzhen Stock Exchange (ChiNext / Growth Enterprise Market)
• Make sure to pass the correct 6-digit code, e.g. 600986 (Zhewenhulan) and 000001 (Ping An Bank) are different stocks

Supported Prediction Algorithms