Centralwize

Market intelligence for AI agents. $5 per analysis.

Before your agent burns tokens building something that already exists — CentralWize tells you where the gaps are. At the workflow level.

centralwize.com | API Docs | agents.txt

Install as OpenClaw Skill

# Copy the skill folder to your skills directory
cp -r skill/  ~/.openclaw/skills/centralwize-market-intelligence/

# Or install from ClawHub (once published)
npx clawhub@latest install centralwize-market-intelligence

Set your API key:

export CENTRALWIZE_API_KEY="cw_your_key_here"

Then ask your agent: "Before I build this, check CentralWize for competitors and gaps."

See skill/SKILL.md for full skill documentation.

Setup (MCP)

Claude Code / Claude Desktop

Add to your MCP config (claude_desktop_config.json):

{
  "mcpServers": {
    "centralwize": {
      "url": "https://mcp.centralwize.com/sse",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "centralwize": {
      "url": "https://mcp.centralwize.com/sse",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Windsurf

Add to your MCP settings:

{
  "mcpServers": {
    "centralwize": {
      "serverUrl": "https://mcp.centralwize.com/sse",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Get an API key

curl -X POST https://api.centralwize.com/v1/keys \
  -H "Content-Type: application/json" \
  -d '{"email": "[email protected]"}'

Every key includes 2 free preview analyses.

Tools

centralwize_analyze

Analyze a product idea, PRD, or market. Returns competitors, gaps, and a BUILD/PIVOT/AVOID verdict.

Input:

{
  "description": "AI-powered invoice processing for accounts payable automation",
  "industry": "financial services"
}

Output: Prose analysis + structured JSON:

{
  "verdict": "BUILD",
  "competitors": [
    {"name": "Tipalti", "funding": "$550M", "threat": "direct"},
    {"name": "Stampli", "funding": "$90M", "threat": "direct"}
  ],
  "gaps": [
    {"service": "Invoice Exception Handling", "tools": 0, "opportunity": "high"},
    {"service": "3-Way PO Matching", "tools": 1, "opportunity": "high"}
  ],
  "risks": {"competitive_density": "moderate", "tools_in_market": 35},
  "next_analyses": ["Diligence on Tipalti", "Gap analysis for procurement"]
}

REST API

Works without MCP — any HTTP client or agent framework.

curl -X POST https://api.centralwize.com/v1/analyze \
  -H "Authorization: Bearer cw_your_key" \
  -H "Content-Type: application/json" \
  -d '{"description": "your product description or PRD"}'

Endpoints

Method	Path	Cost	Description
POST	/v1/analyze	$5 or free preview	Competitive analysis from product description
POST	/v1/continue	Free (within session)	Continue multi-turn analysis
POST	/v1/keys	Free	Create API key
POST	/v1/billing/checkout	—	Get Stripe checkout URL
POST	/v1/billing/buy	Varies	Charge saved card (agent-autonomous)
GET	/v1/balance	—	Check credit balance

Framework Integration

LangChain

import requests

def centralwize_analyze(description: str, api_key: str) -> dict:
    """CentralWize market intelligence tool for LangChain agents."""
    response = requests.post(
        "https://api.centralwize.com/v1/analyze",
        headers={"Authorization": f"Bearer {api_key}"},
        json={"description": description},
    )
    return response.json()

# Use as a LangChain tool
from langchain.tools import StructuredTool

centralwize_tool = StructuredTool.from_function(
    func=centralwize_analyze,
    name="centralwize_analyze",
    description=(
        "Analyze a product idea against CentralWize's market intelligence. "
        "Returns competitors with funding, market gaps at the workflow level, "
        "and a BUILD/PIVOT/AVOID verdict. Costs $5 per analysis."
    ),
)

CrewAI

from crewai_tools import tool
import requests

@tool("CentralWize Market Analysis")
def centralwize_analyze(description: str) -> str:
    """Analyze competitive landscape and market gaps for a product idea.
    Returns competitors, funding data, underserved workflows, and strategic verdict.
    Backed by 11,000+ AI tools mapped to 54,000+ workflow mappings. $5 per analysis."""
    response = requests.post(
        "https://api.centralwize.com/v1/analyze",
        headers={"Authorization": f"Bearer {CENTRALWIZE_API_KEY}"},
        json={"description": description},
    )
    data = response.json()
    return data.get("analysis", "") + "\n\nStructured: " + str(data.get("data", {}))

OpenAI Agents SDK

from agents import function_tool
import requests

@function_tool
def centralwize_analyze(description: str) -> dict:
    """Analyze a product's competitive landscape using CentralWize.
    Returns competitors with funding, workflow-level market gaps, and BUILD/PIVOT/AVOID verdict.
    Backed by 11,000+ classified AI tools. $5 per analysis."""
    response = requests.post(
        "https://api.centralwize.com/v1/analyze",
        headers={"Authorization": f"Bearer {CENTRALWIZE_API_KEY}"},
        json={"description": description},
    )
    return response.json()

What's in the data

• 11,000+ funded AI tools, manually classified and audited
• 2,000+ business services across 54 industries
• 54,000+ workflow-to-tool mappings
• 100% service-level TAM coverage
• Funding data, maturity stages, competitive graph
• Updated regularly via ETL pipeline

Every analysis is grounded in this structured data. The LLM writes the prose, but competitors and gaps come from deterministic database queries — not hallucination.

Pricing

• $5 per full analysis
• 2 free preview analyses per API key (shows verdict, counts, density — not full details)
• Credit packs: $25 for 7, $50 for 13 (every purchase includes 1 bonus)
• Insufficient data = automatic refund
• Agents can save a card and buy credits autonomously

Links

• Website: centralwize.com
• API Docs: Swagger UI
• agents.txt: centralwize.com/agents.txt
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