Price Data Infrastructure
for Engineering Teams
12 Marketplaces, One API · Buy Box, Price & Stock, Resolved Live
Native Integration
Runs Inside Your Stack,
Not on Top of It
kwery feeds the systems your team already owns — pricing engines, warehouses, internal services, dashboards. It is a data dependency, not another platform to adopt.
kwery engine core
Repricing Engines
Push validated market prices into your existing decision engine via API.
Data Warehouses
Stream normalized rows into Snowflake, BigQuery, or Redshift.
ERP & PIM Systems
Enrich the systems that already manage your catalog and operations.
BI & Dashboards
Power Looker, Tableau, and Metabase with reliable price series.
Internal Pricing Services
Wire kwery into in-house services without adding a vendor layer on top.
Client Dashboards
Drop kwery in as a managed data layer behind agency-built tooling.
Data Ops
Stop Maintaining the Hidden Data-Ops Layer
Behind every "simple price feed" sits an operational stack nobody budgeted for. kwery runs it for you.
Marketplace Collection
Scrapers, proxies, anti-bot countermeasures, and per-source layout changes — maintained by kwery, not your team.
GTIN & Product Matching
Cross-referencing GTIN, title, brand, price, and URL so every record maps to your catalog keys.
Normalization
One schema across every source — no per-marketplace parsers drifting out of sync.
Freshness Checks
Every record carries a capture timestamp and defined freshness SLAs, so stale data never slips through.
Monitoring
Source health, failure rates, and coverage gaps are tracked upstream — before they reach your pipeline.
QA
Structural and plausibility validation on every record; malformed prices and mismatched products are filtered out.
Auditability
Source URL, capture time, and validation status travel with every data point — evidence attached, always.
API-First Delivery
One Endpoint, One Schema
Send a GTIN or product identifier and get back structured price, offer, and quality data — the same shape for every marketplace.
Predictable Interface
REST endpoints with versioned schemas and stable fields. Your integration survives source changes.
Pull or Push
Query on demand via API or subscribe to change events via webhooks — whichever fits your architecture.
Built for Automation
Retry semantics, capture timestamps, and validation status on every record, so unattended pipelines stay safe.
{ "query" { "source" google, "country" de, "key" product, "value" STABILO point 88||STABILO||4006381333962||||, "topic" search, "max_pages" 1, "max_age" 1200 }, "content" { "product_id" 1570378438328501500, "name" Fineliner STABILO point 88, "brand_name" STABILO, "currency" EUR, "price_min" 5.36, "price_avg" 6.64, "price_max" 8, "offers_count" 5, "total_offers_count" 44, "offers" [ { "seller_name" Amazon.de - Amazon.de-Seller, "seller_url" https://www.amazon.de, "price" 5.93, "shipping" 0, "total" 5.93, "currency" EUR }, { "seller_name" Geizhals Preisvergleich, "seller_url" https://geizhals.de, "price" 5.93, "shipping" 0, "total" 5.93, "currency" EUR } ] }, "success" true, "trust" { "score" 0.98, "components" { "identity" 0.9099999999999999, "completeness" 1, "price_integrity" 1, "offer_contamination" 1, "freshness" 1 }, "flagged_offers" [] }, "served_from" live, "observed_at" 2026-09-14T08: 56: 48.468Z }
Production-Grade Signals
Built for Systems That Can't Afford Bad Data
Every response ships with the signals production systems need to trust what they consume.
Smart Change Events
Material changes — price moves, offer-count shifts, buy-box loss — are flagged as events, so your systems react to signals, not noise.
Data Health & Confidence
Per-record trust scores with identity, completeness, price-integrity, and freshness detail — you decide what enters production.
Audit & Provenance
Source URL, capture time, crawl metadata, and validation status on every record. When a number is questioned, the trail is attached.
High-Throughput Integration
Millions of price checks per day across your full catalog — with retry and validation semantics built for unattended operation.
Where kwery Fits
A Data Layer for the Systems You Build
From repricing engines to client-facing dashboards — wherever reliable marketplace prices are a dependency.
Repricing Engines
Feed validated competitor prices, buy-box status, and change events into automated repricing logic.
Snowflake / BigQuery / Redshift
Stream normalized price time series into your warehouse for modeling, elasticity work, and reporting.
Internal Pricing Services
Give your in-house services a reliable price data dependency — versioned, timestamped, auditable.
BI Dashboards
Power market monitoring and pricing dashboards with data your analysts can trust.
Marketplace Analytics Products
Embed marketplace price intelligence into the product you ship to your own customers.
Agency-Built Commerce Dashboards
Deliver client reporting on a managed data layer — no scraper fleet to babysit.
1 credit = 1 SKU
Simple and Predictable Pricing
Start with 1,000 free credits, then move to Starter at €79/mo or jump straight to a Growth plan from €399/mo when you're ready for production. Enterprise setups are available for high-volume teams, custom sources, and dedicated infrastructure.
Cancel anytime
Build Your Price Data Layer on kwery
Reliable marketplace prices, quality signals, and audit-ready records — straight into your stack. Explore the docs or talk to our team.




