Collect data from any source. Unlock e-commerce intelligence. APIClaw gives your agents structured, decision-ready data — from general web collection to deep vertical insights.
No credit card required
Or explore the Web Console for manual research
Electronics > Headphones
Monthly Demand
Avg Price
$34.99
Gross Margin
31.2%Competition
MediumPOST /openapi/v2/markets/search200M+
Products Tracked
2+
Years Historical Data
1B+
Reviews Analyzed
~1s
API Response
Why APIClaw?
Not legacy data providers. Not human dashboards. A purpose-built data layer that gives your AI agents both general data collection and deep e-commerce intelligence.
Oxylabs, ScrapingBee, Bright Data
Jungle Scout, Helium 10, Keepa
The 4C Advantage
15 min
Sales Rank (BSR)
30 min
Key Product Prices
Daily
High Priority Data
Weekly
Full Product Catalog
In affiliate marketing, if you can review 20 pages of competitor ads, you'll outperform someone who only sees 3.
But human limits cap out there.
Your Agent can review 200 pages, 300 pages, 1,000 pages —
as long as the data keeps up.
APIClaw makes the data keep up.
Use Cases
From autonomous research to multi-agent orchestration — power every Agent in your commerce stack.
Let your Agent scan 10,000 opportunities daily, not 100 manually.
24/7 non-stop monitoring. Price changes notified in seconds.
Selection Agent + Pricing Agent + Listing Agent working together.
What's trending today, not what sold last year.
Monitor stock levels, price changes, and availability across competitors.
From discovery to listing, fully automated pipeline.
Agent-Native Design
Clean JSON responses — Structured data, ready to consume. LLM parsing cost ↓80%
OpenAPI 3.0 spec — One-click import into LangChain, CrewAI, AutoGen, Claude MCP
Pre-processed insights — We extract sentiment, keywords, attributes. You skip the NLP.
Real-time signals — Not yesterday's report. What's trending right now.
import requests
response = requests.post(
"https://api.apiclaw.io/openapi/v2/markets/search",
headers={"Authorization": "Bearer YOUR_KEY"},
json={"categoryPath": ["Electronics", "Headphones"]}
)
# Flat JSON - no nested parsing needed
market = response.json()
print(f"Demand: {market['totalDemand']}")Integrations
OpenAPI 3.0 spec means one-click import. LangChain, CrewAI, Claude MCP — we've got you covered.
from langchain.tools import Tool
from apiclaw import APIClawClient
client = APIClawClient(api_key="...")
product_tool = Tool(
name="search_products",
func=client.products.search,
description="Search Amazon products"
){
"mcpServers": {
"apiclaw": {
"command": "npx",
"args": ["@apiclaw/mcp"],
"env": {
"APICLAW_API_KEY": "..."
}
}
}
}Core Capabilities
Pre-processed, structured, ready for consumption — not raw HTML to parse.
Category-level signals: demand trends, competition density, margin benchmarks. Updated daily.
Agent Benefit: One call to get the full category landscape
Your agent can query 200M+ tracked products across major marketplaces (Amazon today, more launching soon) with 40+ filters. Structured, token-efficient intelligence ready for immediate use.
Agent Benefit: Thousand-level results, batch processing
Brand, ASIN, seller, keyword - any dimension. Know the field before you enter.
Agent Benefit: Multi-dimensional competitor discovery
Live price, inventory, BSR — no caching, no delay. Power your Agent with live market data.
Agent Benefit: Real-time market signals
1B+ reviews pre-analyzed into structured intelligence. Your agent gets sentiment, trends, and pain points — not raw text. Token cost ↓95%.
Agent Benefit: Millions of reviews → structured insights
2+ years of BSR, price, sales, and rating history. Build time-series analysis and spot trends early.
Agent Benefit: Trend analysis with historical depth
Image → structured attributes. Skip GPT-4V, use our specialized model.
Agent Benefit: Skip vision model costs
Pre-built Skills
Years of e-commerce intelligence expertise, packaged into plug-and-play Agent Skills.
E-commerce Intelligence & Analytics skill for AI agents
Market Validation
Market verification
Product Selection
14 preset modes
Competitor Analysis
Competitive landscape
Risk Assessment
6-dimension risk matrix
Pricing Strategy
Price band analysis
Daily Operations
Market monitoring
Install with Skills CLI:
$ npx skills add SerendipityOneInc/APIClaw-SkillsPricing Philosophy
Traditional SaaS charges per seat because they assume each human uses it 2 hours a day.
Agents run 24/7. Their consumption is 100x that of humans.
So we charge per API call:
One agent running 10,000 queries/day? Predictable cost. Traditional solution? 10 seats + legacy data infrastructure = $1,000+/month.
V2 endpoints optimized for AI agents
Sign up, grab your Bearer token
Pick any endpoint, send JSON body
Clean JSON response, ready for your agent
$ curl -X POST https://api.apiclaw.io/openapi/v2/markets/search \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"categoryPath": ["Electronics", "Headphones"]}Start free with 1,000 credits. No credit card required.
Want to try before integrating? Try the Web Console