Sequen develops models tailored to your proprietary catalog and user behavior. Uploading your data and establishing processes for real-time event ingestion and catalog updates are crucial for achieving optimal results when integrating with us.To power recommendations and other personalization capabilities, we ingest three core data entities: catalog, users, and user events.
Entities
Entity
Purpose
Typical Cadence
Catalog
Determines what can be shown or ranked
Batch on change (hourly–daily)
Users
Identifies who we are personalizing for
Upserts as profile changes
Events
Tracks how users interact
Streaming (near real-time)
Integration
Sequen will collaborate with you to prepare and ingest your data. We offer several methods for integration:
REST API
Data warehouse integration (S3, Snowflake, Databricks)
Custom connectors
Supported Field Types
Types are auto-detected on upload, and can be manually adjusted as needed. We support the following types:
Type
JSON shape
Example snippet
Notes / limits
id
”text”
"id": "1349ADJASGRE"
Primary key for entities.
string
”text”
"sku_id": "SKU-123"
UTF-8, ≤16 KB
number
123 or 45.6
"price": 79.99
64-bit float; integers are fine
boolean
true / false
"available": true
—
array<string>
[ “a”, “b”, … ]
"category_ids": ["footwear", "sneakers"]
Array of strings only (use an object for mixed types)
datetime
ISO-8601 string or Unix timestamp (number)
"original_timestamp": "2025-07-10T14:09:12Z" or "original_timestamp": 1720618152
ISO-8601 with millisecond precision or Unix timestamp in seconds or milliseconds
embedding
array<number>
"embeddings": { "taste_v1": [-0.12, 0.09, …] }
Vector of floats, ≤1,024 dims. Multiple named embeddings allowed inside the object.
Sequen automatically explores your dataset and selects features most relevant to training your models. To achieve the highest performance, send us as many fields and datapoints as possible.Let’s get started by integrating your data catalog.
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