Price Data Infrastructure, by Design
Architectural Principle
Separate Data Collection From Pricing Decisions
kwery is the data layer of your pricing system. We collect, normalize, and deliver real-time marketplace data.
Every team's pricing logic is different. kwery never assumes yours — the data layer ends where your application begins.
What kwery Is Not
Separation Model
API Boundarykwery
Collect
Sources
Normalize
Schema · validation
Deliver
Webhook · polling
Your System
Ingest
ERP · BI · warehouse
Decide
Your pricing rules
Act
Publish · alert · update
Technical Depth
How Price Data Flows
to Your System
A deeper look at how kwery plugs into your stack — what we deliver, how it's structured, and where the integration points sit. Built for reliability, freshness, and full transparency.
End-to-end pipeline
Sources
12 marketplaces, normalized
Validation
Schema, freshness, confidence
Indexed Store
GTIN lookups + 72h history
Delivery
Webhook or polling
Your System
ERP, BI, warehouse, custom
Stage 01
Source Coverage
kwery currently covers 12 marketplaces across DE, EU, US, and global — every source returns the same normalized response schema, so adding a marketplace never means rewriting your integration.
Stage 02
Validation & Normalization
Every result is mapped to a single schema and checked for freshness, completeness, and realistic pricing. Anything uncertain is tagged with a confidence score instead of being silently dropped — you decide the threshold for your use case.
Stage 03
Indexed Storage & Lookup
Processed data lands in a distributed store indexed by marketplace, region, GTIN, and timestamp. Queries return instantly whether you're checking one GTIN or a million. 72 hours of historical context stays queryable for diffs and recovery.
Stage 04
Delivery & Audit Trails
Webhooks POST every result the moment it's ready, with retries (5 attempts over an hour) if your endpoint doesn't ack. Polling is available for batch jobs. Every payload carries metadata — timestamp, region, confidence score, marketplace health, batch sequence — so you can filter, replay, or trace any price change back to its source.
Stage 05
Your System
Once delivered, data flows into whatever system runs your pricing logic. kwery never assumes that system — it's the data layer, your stack is the application.
Why this design
- Reliability — Redundant collection paths and continuous health checks — no single point of failure on our side.
- Freshness — Webhook streaming delivers each result the moment it's ready, not in daily batches.
- Transparency — Confidence scores and audit trails on every result.
- Flexibility — Webhooks or polling, single- or multi-source queries, JSON or CSV.
- Scale — 100 GTINs or 100 million — same pipeline, results stream as they complete.
Who Builds on kwery
Three Ways Teams Put
kwery to Work
Retailers
Power in-house pricing engines with reliable marketplace data.
- Power in-house pricing engines
- Feed BI & reporting systems
- Normalized data across 11+ marketplaces
Repricing Platforms
Embed a versioned data backbone instead of maintaining crawlers.
- Embed price data into your product
- Skip crawler infrastructure
- White-label ready
Multichannel Platforms
Deliver merchant-grade pricing intelligence across every channel.
- Power merchant pricing decisions
- Flexible delivery (API / webhooks)
- Cover every channel from one source
Integration Fit
Why kwery Fits Into
Pricing Systems
kwery is a neutral data layer designed to slot into the systems you already run — not replace them. One contract, predictable integration points, no opinions about your pricing logic.
kwery
Neutral Data Layer
REST · Webhooks · Normalized JSON
Warehouse / BI
Snowflake, BigQuery
Repricer
Your own or third-party
Custom Engine
In-house pricing logic
Dashboards
Reporting & monitoring
Plugs In, Doesn't Replace
JSON over REST and webhooks. kwery sits next to your warehouse, repricer, ERP, or BI — never competing for ownership.
Schema-Stable Across Marketplaces
One normalized contract for Amazon, ebay, Otto, Kaufland and more. The same downstream code handles every source.
Neutral on Logic
No opinions about rules, margins, or rounding. kwery delivers the data — your pricing logic stays yours.
Swap-Friendly
Change repricers, BI tools, or build a custom engine without re-onboarding data. The integration point doesn't move.
Scalability
Why This Architecture Scales
Independent layers mean each part of your pricing stack can evolve without disrupting the others. Price infrastructure that grows with you — not one you outgrow.
Independent Scaling
Pipelines scale without touching pricing logic
Flexible Logic
Change rules without reworking data collection
Interchangeable Tools
Swap tools without data disruption
No Vendor Lock-in
Your data, your systems, your control
Support
Common Questions
How kwery fits with the systems and tools you already run. Full answers live in the knowledgebase.
Browse all FAQsNo. kwery is the data layer underneath whatever pricing logic you already run — your ERP, PIM, repricer, or custom engine keeps full control. We only deliver the marketplace data they consume.
Most teams are live within a few days. You authenticate, point a webhook or polling job at the endpoints you need, and start receiving normalized JSON.
kwery's Source Library covers major global and regional marketplaces including Amazon, ebay, Google Shopping, Walmart, Idealo, AliExpress, Otto, Kaufland, Lidl, and more. The full list lives on the kwery API page. Browse the Source Library.
kwery is price data infrastructure for e-commerce. We deliver decision-ready marketplace pricing data via a native API — real-time change events, health signals, and full auditability. You stay in control of your repricing logic; kwery is the reliable data layer underneath it. How it works.
Yes. kwery is API-first and emits structured JSON, so you can land events directly in a warehouse, feed them into a custom pricing engine, or route them through your existing ETL. Architecture and integration model.
Ready to Build on Data You Control?
Whether you run pricing internally or for others, kwery gives you the data backbone to do it properly.