AI-era e-commerce data infrastructure

Global e-commerce data
built for AI Agents.

Real-time product data, competitor analysis, price history and review insights across Amazon, Walmart, Temu, TikTok Shop, eBay and Shopee — accessible via REST API or natively from Claude / Cursor / Cline through MCP.

curl example · Realtime product
curl -X POST https://mart.tk.com/openapi/v2/amazon/products/get \
  -H "Authorization: Bearer mc_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{"platform":"amazon","marketplace":"US","asin":"B08KY684PB"}'

# → {"data":{"title":"COMSOON Bluetooth Receiver...",
#            "rating":4.5,"ratingCount":49744,
#            "buyboxWinner":{"price":{"value":16.99,"currency":"USD"}},
#            ...},
#    "meta":{"creditsConsumed":1,"upstreamSource":"apiclaw"}}

Trusted by developers building on

Anthropic Claude
Cursor IDE
Cline
Enterprise Teams
Amazon Sellers
Multi-platform
Niche Scouts
AI Agents

More partners coming soon

Agent-Native Infrastructure

Why Agents Need a Different Data Layer

Not a scraping API. Not a human dashboard. MartCore is a callable, billable, cacheable, observable data gateway for agents.

Oxylabs / ScrapingBee / Bright Data

Legacy Scraping APIs

  • Raw HTML you still need to parse
  • Snapshot only, no historical curves
  • No commerce semantics or business metrics
  • Generic scraping, not product/review/BSR aware

Jungle Scout / Helium 10 / Keepa

Human Commerce SaaS

  • Built for dashboards, not agent tool-calling
  • Seat pricing breaks for 24/7 agents
  • Limited API access and automation
  • Static reports, weak real-time signals

Agent-Native data layer + billing gateway

MartCore

  • Clean JSON for direct LLM consumption
  • Live data + price / BSR / review history
  • Unified cache, billing, auth, and monitoring
  • Official API + crawler fallback paths

Give Agents the 200-Page Advantage

Humans stop after a few dozen pages. Agents can scan 200, 300, or 1,000 pages if the data layer keeps up: realtime, structured, batchable, and historical.

What MartCore adds beyond APIClaw

Beyond agent data APIs, MartCore includes APISIX auth/rate limits, two-wallet billing, Redis cache discounts, upstream fallback, monitoring subscriptions, and admin operations.

Realtime

Price, Buy Box, inventory, BSR

15-30 min

Core price and rank signals

Daily

Market size, brand concentration, price bands

Long-term

2+ years price / BSR / review history

Everything an e-commerce AI Agent needs

We absorb the upstream complexity (rate limits, proxies, scraping, schemas) so your AI just calls a clean function and gets back structured data.

MCP-native

Ship 7 ready-to-use skills to Claude, Cursor, Cline via the Model Context Protocol. No glue code.

Multi-layer Data Lake

Redis L1 + Postgres L2 + S3/OSS archive (L3). Every upstream call is automatically captured and queryable.

Token Pool & Rotation

Multiple upstream credentials per channel rotate automatically with EWMA health and cooldown logic.

Platform-agnostic schema

Amazon today, Walmart / Temu / TikTok Shop coming. Same response shape across all platforms.

Transparent caching

L2 fallback when upstreams blip; clients see the same 1x billing whether the call hit cache or upstream.

Monitoring & Alerts

Subscribe to ASINs for scheduled refreshes. Get price-drop, out-of-stock, and BSR-shift alerts via Webhook / Email / Telegram.

See it in action

From one-shot product research to continuous market surveillance — MartCore covers every e-commerce workflow your agent needs.

Use Case 1 of 6

AI Shopping Assistants

Power AI shopping agents with structured product data. Query prices, ratings, availability, and reviews in one call so your assistant can make real purchase recommendations.

Learn more
cURL
curl -X POST https://mart.tk.com/openapi/v2/amazon/products/search \
  -H "Authorization: Bearer mc_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "keyword": "wireless earbuds noise cancelling",
    "marketplace": "US",
    "pageSize": 5,
    "filters": {"minRating": 4.0, "maxPrice": 80}
  }'
Core Capabilities

Data Modules Optimized for Agents

We cover APIClaw’s products, markets, realtime, reviews, and history — then add price bands, brands, review search, monitoring, and TikTok trends.

Market Analysis

Category demand, competition density, brand concentration, revenue estimates in one call.

API
POST /openapi/v2/amazon/markets/search

200M+ Product Search

40+ filters across keywords, categories, sales, ratings, and price to find opportunities fast.

API
POST /openapi/v2/amazon/products/search

Competitor Lookup

Find competitors by ASIN, brand, seller, and keyword before entering a market.

API
POST /openapi/v2/amazon/products/compare

Realtime Product

Bypass cache for live price, inventory, BSR, rating, and Buy Box signals.

API
POST /openapi/v2/amazon/products/get

Review Intelligence

Convert massive review sets into sentiment, pain points, keywords, scenarios, and buying factors.

API
POST /openapi/v2/amazon/reviews/analyze

Review Browse & Search

Realtime reviews, rating filters, verified-purchase filters, cursor pagination, and conditional search.

API
POST /openapi/v2/amazon/reviews/search

Historical Data

Price, BSR, sales, and rating curves for trend analysis and anomaly detection.

API
POST /openapi/v2/amazon/products/history

Price Band / Brand Analysis

Price opportunity, brand share, and concentration analysis beyond APIClaw’s baseline.

API
POST /openapi/v2/amazon/price-bands/detail

Monitoring & Alerts

Subscribe to ASINs and trigger price, stock, and rank alerts via Email / Webhook / Telegram.

API
POST /api/v3/user/monitoring/subscriptions

TikTok Trends

Extend from Amazon research into TikTok trend discovery for content-commerce opportunities.

UI
Console /tiktok
Model Context Protocol

Drop into Claude Desktop in 30 seconds

Add one config block to claude_desktop_config.json and MartCore's 7 skills become callable inside any chat: martcore_search_products, martcore_find_competitors, martcore_product_history, and 4 more.

Read the MCP guide
claude_desktop_config.json
{
  "mcpServers": {
    "martcore": {
      "command": "npx",
      "args": ["-y", "@martcore/mcp-server"],
      "env": {
        "MARTCORE_API_BASE_URL": "https://mart.tk.com",
        "MARTCORE_API_KEY": "mc_live_xxx"
      }
    }
  }
}

Pay only for the calls you make

No per-seat fees. No tiers gated by feature. Top up your wallet, query as much as you need. Free trial credits on sign-up.

Try
Free

Trial credits on sign-up

Get a key
Pay-as-you-go
$0.01 / call

No commitment, top up any amount

Top up
Enterprise
Custom

Volume discount + dedicated upstream

Contact us

Start in minutes

One HTTP call is all it takes. Copy any example below and replace mc_live_xxx with your API key.

POST/openapi/v2/amazon/products/search
cURL (bash)
curl -X POST https://mart.tk.com/openapi/v2/amazon/products/search \
  -H "Authorization: Bearer mc_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "keyword": "wireless earbuds",
    "marketplace": "US",
    "pageSize": 10
  }'
POST/openapi/v2/amazon/products/get
cURL (bash)
curl -X POST https://mart.tk.com/openapi/v2/amazon/products/get \
  -H "Authorization: Bearer mc_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "asin": "B08XYZ1234",
    "marketplace": "US"
  }'
POST/openapi/v2/amazon/reviews/analyze
cURL (bash)
curl -X POST https://mart.tk.com/openapi/v2/amazon/reviews/analyze \
  -H "Authorization: Bearer mc_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "mode": "asin",
    "asins": ["B08XYZ1234"],
    "period": "3m"
  }'
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