Add Commerce to Your AI Agent in 4 Lines

#ai #mcp #agentaichallenge #infrastructure

4 commands. 38 retailers. 8 countries. Your agent just learned how to shop.

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The problem
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You're building an AI agent. It can search the web, reason about complex topics, generate code. But when it needs to answer a simple question like "how much does rice cost in Lima today?" — it hits a wall.

Not because it's dumb. Because every retailer has a different API, auth mechanism, schema, and checkout flow. There's no Stripe for commerce data.

Until now.

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4 lines. That's it.
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'''bash
# 1. Install
pip install cli-market-world

# 2. Guided first search + interactive tutorial
market init           # login + first query
market tutorial       # 3 exercises: search, compare, export — 60 seconds

# 3. Search — your agent just queried 38 retailers in <1s
market search "leche" --country PE --json

# 4. Connect to your AI agent via MCP
# Add to Cursor / Claude / any MCP client:
# → https://cli-market.dev/tools?utm_source=devto&utm_campaign=spike-jun09
'''

That's the entire integration. No API keys per retailer. No HTML scraping. No schema mapping.

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What happens under the hood
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When your agent runs market search "rice" --country PE --json, CLI Market:

Normalizes the query — "arroz", "rice", "arroz blanco" all map to the same product
Queries our collector — 38 active retailers, refreshed every 4 hours
Returns structured JSON — price per kg/L, store name, country, timestamp
Handles auth — one CLI Market token, not 38 retailer tokens

What it looks like in your terminal:

![CLI Market terminal output — 60 seconds, real prices]

'''json
{
  "query": "arroz",
  "country": "PE",
  "results": [
    {
      "product": "Arroz Extra 5kg",
      "price": 18.90,
      "price_per_kg": 3.78,
      "store": "Wong",
      "country": "PE",
      "refreshed_at": "2026-06-10T08:00:00Z"
    }
  ]
}
'''

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MCP: the missing piece
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CLI Market exposes 22 curated MCP tools (46 legacy) — search, compare, basket, checkout paths — so your agent can:

Search products across all retailers
Compare prices between stores
Filter by country, category, or price range
Get historical price data (Pro tier)

Connect in Cursor or any MCP client in 30 seconds. Configuration at cli-market.dev/tools.

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What you can build with this
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Price monitoring agents — track commodity prices across LATAM
Shopping assistants — "find the cheapest 5kg rice in Lima"
Competitive intelligence — benchmark your retail prices against the market
Supply chain optimization — auto-reorder when prices drop below threshold

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What's next
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We're working on cart + checkout — so your agent doesn't just search, it buys. One API call to add to cart across any supported retailer.

Start building:

'''bash
pip install cli-market-world
market init
'''

**MCP tools:** [cli-market.dev/tools](https://cli-market.dev/tools?utm_source=devto&utm_campaign=spike-jun09)

**Docs for agents:** [cli-market.dev/llms.txt](https://cli-market.dev/llms.txt)

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Pricing
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| Tier | Price | Best for |
|------|-------|----------|
| Free | $0 | 1,000 req/day — prototype with `market init` |
| **Pro** | **$39/mo** | Alerts, full MCP tools, checkout, 20k req/day, 30d history — [activate](https://cli-market.dev//#pricing?utm_source=devto&utm_campaign=week2) |

CLI Market — Commerce infrastructure for AI agents. 38 retailers. 8 countries. MIT on PyPI.

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Add Commerce to Your AI Agent in 4 Lines

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