ExtraltExtralt

Ground truth for
ecommerce intelligence

Extralt is the agentic workspace for ecommerce product analytics.

Ask a market question. Extract ecommerce product data from the open web, enrich it into listings and offers, extend it with cross-seller product matching, and explore grounded analytics through verifiable reports and recurring monitors with source evidence.

Extralt dashboard overview

Built for Brands

PRODUCT: Nike Air Force 1 '07
SKU: CW2288-111

PRICE MONITORING (7 days)
────────────────────────────────────────
nike.com        $115.00  ━━━━━━━━━━━━━━
footlocker.com  $115.00  ━━━━━━━━━━━━━━
amazon.com       $89.99  ━━━━━━━━━━ ↓22%
stockx.com      $102.00  ━━━━━━━━━━━━

⚠ Unauthorized seller detected: cheapkicks.co
  Price: $74.99 | MAP violation
CATEGORY: Running Shoes
MARKET: US

COMPETITOR PRICING ANALYSIS
────────────────────────────────────────
Your price     $129.99  ━━━━━━━━━━━━━━━
Market avg     $124.50  ━━━━━━━━━━━━━
Lowest         $109.99  ━━━━━━━━━

↑ 3 competitors dropped prices this week
↓ 2 items now out of stock at amazon.com
// Market query
{
  "query": "running shoes under $150",
  "market": "US",
  "results": 2847,
  "price_distribution": {
    "p25": 89.99,
    "p50": 119.99,
    "p75": 139.99
  },
  "top_brands": ["Nike", "Adidas", "New Balance"]
}
// Best price response
{
  "product": "Nike Air Force 1 '07",
  "sellers": [
    { "name": "nike.com", "price": 115.00 },
    { "name": "footlocker.com", "price": 115.00 },
    { "name": "amazon.com", "price": 89.99 }
  ],
  "best_price": {
    "seller": "amazon.com",
    "price": 89.99,
    "savings": "22%"
  }
}
Price monitoring across every reseller.
  • _Track pricing and MAP compliance across the web
  • _Detect unauthorized sellers
  • _Verify product representation and listings
Competitor price monitoring across your market.
  • _Competitive pricing intelligence on any schedule
  • _Track assortment gaps and stock changes
  • _Benchmark your catalog against the market
Structured product data for market research.
  • _Query pricing and availability across categories
  • _Track competitive trends over time
  • _Export as JSON, Parquet, or connect via API
The discovery layer for ecommerce agents.
  • _Best price discovery across sellers
  • _Product recommendations and alternatives
  • _Complement suggestions for bundles

Extract. Enrich. Extend. Explore.

A pipeline that turns ecommerce pages and catalog files into queryable product intelligence. Every workflow rides on top of Explore.

▸ pipeline4 stages · v1
01

Extract

Captures from web crawls or catalog imports

02

Enrich

Translated, classified, attributed, signaled

03

Extend

Matched Variants across every seller

04

Explore

Search, compare, aggregate via REST or MCP

part of Explore ↑
●━━●━━●━●━━●━━●
        ↑ lowest

PRICE MONITORING

Track competitor prices and MAP violations across the open web — no merchant opt-in.

Apparel
└── Footwear
    └── Athletic ✓

PRODUCT DATA

Classify and enrich your catalog with industry-standard taxonomy, attributes, and signals.

▁▂▄▆█▇▅▃▁
$80 ─── $200

MARKET INTELLIGENCE

Map the competitive landscape across categories, brands, and price tiers.

BUILD YOUR OWN

Any question. Answered from the same data layer.

Every capture follows the same blueprint

Every ecommerce site is different. The data you get back is not.

Each product page becomes a capture with the same fields, constraints, and types. No per-site mapping layer. No downstream schema drift.

Captureblueprint

Inputs

Tokyo marketplace
French boutique
US big-box retailer

Output

Capture

  • |_title
  • |_brand
  • |_price
  • |_options
  • |_identifiers
  • |_images
  • |_language
  • |_source

AI builds the site-specific extractor. Compiled code runs it. The capture blueprint stays the same.

Why Extralt

01

ECOMMERCE SPECIALIZED

vs. generic scrapers

Purpose-built ecommerce scraping. Product catalogs, pricing, and availability — extracted into a consistent schema across every site. No per-site configuration.

02

AI-BUILT, COMPILED-RUN

vs. runtime AI scrapers

AI generates each crawler. Compiled Rust executes it. LLM intelligence at native code speed.

03

GROUND TRUTH

vs. merchant feeds

Each step in the pipeline resolves a layer of uncertainty. What's on the page. What the product is. That two listings are the same. Analytics-ready product intelligence, not raw data to interpret yourself.

Pricing

Pay to build. Explore for free.

Extract2 credits/Capture

Raw structured ecommerce data as found on the crawled webpage. One successful result produces one Capture.

Enrich1 credit/Capture

Normalize to English, classify with industry-standard taxonomy, extract attributes and signals, and prepare data for Extend.

ExtendFree

Match the same product across sellers, find alternatives, and discover complements.

ExploreFree

Search, query, and analyze your enriched dataset. Price comparison, alternative discovery, and analytics.

AI assistantUsage-based

Ask questions and operate workflows from chat. Messages use credits based on model usage.

Start
$29/month

7-day free trial with 5,000 credits included

  • _10,000 credits
  • _1 run at a time
  • _Email support
Scale 300k
$300/month
  • _300,000 credits
  • _Unlimited concurrent runs
  • _Priority support
  • _Credit top-up available ($1.50/1,000 credits)

FAQ

Start extracting product data

Structured ecommerce data from any site. Free trial included.

Start extracting