Category quality
Context aware
Assign categories using richer transaction context.
TX Enrichment / Categorization
Consistently categorize transactions to uncover the bigger picture.
Classify transaction intent into stable categories that support better product logic, risk controls, and reporting.
Category Mapper
Intent labeling with hierarchy
Primary and secondary category layers stay consistent across workflows.
Category outputs remain adaptable to internal taxonomy systems.
Apply different category systems for consumer and business contexts while keeping the enrichment layer consistent underneath.
Adapt Mazerik outputs to your existing taxonomy with rules and mappings instead of rebuilding your full stack.
Category outputs stay aligned across teams so product, risk, and finance can rely on one interpretation layer.
Category quality
Context aware
Assign categories using richer transaction context.
Workflow fit
Policy friendly
Use outputs in rule engines and manual review paths.
System alignment
Taxonomy adaptable
Map outputs to your internal category models.
Category intelligence supports product experiences and internal operations when outputs remain consistent.
Risk
Use category distributions to support affordability review and policy-based risk decisioning.
Operations
Route cases by category context to prioritize teams and streamline handling paths.
Finance
Maintain stable spend segmentation for analysis and planning across variable source feeds.
Introduce categorization in controlled steps and extend coverage as team confidence and policy maturity increase.
Start with enriched transaction records that include counterparty and payment context.
Assign primary and secondary category labels aligned to operational use cases.
Connect standardized outputs to your internal product, risk, or reporting schemas.
Workflow view
Map standardized categories into internal product and reporting models.
Workflow view
Taxonomy alignment board
Map standardized categories into internal product and reporting models.
Category translation happens without breaking downstream reporting logic.
Category layers are structured for both default usage and internal taxonomy mapping in production workflows.
Generate category outputs from normalized transaction and entity context.
Translate standard categories into internal labels without rewriting your enrichment pipeline.
Serve category outputs consistently for product features and internal tools.
Categorization API field sample
category.primary
string
Main category label for the transaction.
category.secondary
string
More specific category breakdown when applicable.
category.source
string
Classification pathway metadata for review.
category.confidence
number
Confidence indicator for policy workflows.
Common implementation and operations questions for category-based transaction workflows.
Yes. Teams can map standardized outputs into internal category frameworks for compatibility.
Yes. Category fields are designed to work in both automated rules and human-review pathways.
Yes. One categorization layer can support multiple product and operations workflows.
You can use our products via our API or through our intuitive UI dashboard depending on your needs. Your 14-day free trial with 2,000 transactions is just a click away.
Do you have developers onboard? Then you can quickly integrate our Python SDK or REST API and get set up in minutes.
Read docsNo developers onboard? No problem. Our intuitive UI allows you to identify entities using CSVs and PDFs as your data sources.
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Mazerik is the most accurate financial data standardization and enrichment API. Any data source, any geography.