Sold by: thatDot, Inc.
Easily embed real-time anomaly detection capabilities into your apps using thatDot Novelty Detector. Deployed as a container, this API scores the relative novelty of categorical data observations (strings, names, paths, etc.) to identify issues, problems and outliers-even in highly cardinal datasets.
Sold by: thatDot, Inc.
Overview
Ingest any kind of categorical data through a REST API for a real-time score of its novelty. Immediately find anomalies that are hiding in a high-volume stream of data. Each observation is evaluated for novelty, using context to reducing false positives, and providing an explanation of what makes the observation so unusual.
- Real-time ingestion of streaming or batch data-even combined batch and streaming.
- Categorical data: strings, names, numbers, file paths, etc. No need to convert to numbers.
- Get more than just the anomaly score, get an explanantion why it's anomalous!
- Visualize your dataset to understand common trends and outliers.
- Great for small data of dozens of observatons, all the way up to large data streams in the trillions.
- Run many different anomaly detection streams through the same container, each separated into their own context.
- Deployed as a container for easy integration into applications.
- Choose how sensitive the anomaly detection should be using well-distributed scores.
- Simple operation and management.
- Complete and interactive API documentation is included in the container.
Turn high-volume data into high-value data in real-time with thatDot Streaming Anomaly Detector.
Highlights
- An API for Real-time Novelty Detection on Non-Numeric Data
- Contextual Anomaly Detection to Dramatically Reduce False Positives
- Each API call returns rich details about your observation: novelty score, probability, Information Content, and more. Beyond just a score, you can understand WHY the observation is so unusual.
Details
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Delivery method
Delivery option
thatDot Novelty
thatDot Anomaly Detector
Latest version
Operating system
Linux
Features and programs
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Dimension | Cost/unit |
|---|---|
Observations up to 100,000 | $0.00 |
Observations 100,001 - 1,000,000 (per 100K observations) | $150.00 |
Observations 1,000,001 - 2,000,000 (per 100K observations) | $125.00 |
Observations 2,000,001 - 5,000,000 (per 100K observations) | $100.00 |
Observations 5,000,001 - 10,000,000 (per 100K observations) | $60.00 |
Observations 10,000,001+ (per 100K observations) | $25.00 |
Vendor refund policy
Refunds are not supported, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
thatDot Novelty
Supported services: Learn more
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Novelty Release 0.13.7
Enhancements:
- Enable thatDot products to stream data directly to each other using reactive streams
Bugfixes:
- Fix Novelty Exploration UI to correctly show observation node relationship from plots
- Fix Novelty Exploration UI quick queries
- Update selected context when user selects new context from dropdown on Novelty plots page
- Add netty-handler override for CVE-2025-24970
Updates:
- Update Pekko dependencies to 1.1.3
- Update pekko-connectors-*, ... to 1.1.0
- Update Tapir dependencies to 1.11.16
- Update sttp:tapir/sttp:apispec to 1.10.15 / 0.11.2
- Update rocksdbjni 9.7.3
- Update logback-classic to 1.5.17
- Update jnr-posix to 3.1.20
- Update kafka-clients to 3.9.0
- Update project reactor netty version
- Update cats-effect to 3.5.7
- Update marketplacemetering, s3, sso, ssooidc, ... to 2.30.31
- Update pureconfig to 0.17.8
- Update amqp-client to 5.25.0
- Update schema-registry-serde to 1.1.22
- Update openapi-circe-yaml to 0.11.7
- Update protobuf-java to 3.25.6
- Update js to 24.1.2
- Update scala-library to 2.13.16
- Update cats-core to 2.13.0
- Update caffeine to 3.2.0
- Update msgpack-core to 0.9.9
- Update software.amazon.glue:schema-registry-serde to 1.1.23
- Update rsocket-core, rsocket-transport-netty to 1.1.5
- Update jcl-over-slf4j to 2.0.17
- Update rocksdbjni to 9.7.4
- Update commons-text to 1.13.0
- Update commons-codec to 1.18.0
- Update commons-csv to 1.13.0
Additional details
Usage instructions
For overview and documentation see: https://docs.thatdot.com/novelty/getting-started/novelty-main-concepts.html
For complete instructions on setting up the container in either ECS or EKS, please view the: Quick Start: https://docs.thatdot.com/novelty/using-novelty/aws-quick-start/aws-quickstart.html Configuration Guide: https://docs.thatdot.com/novelty/using-novelty/aws-quick-start/aws-configuration.html
Once the container is set up, navigate to the following URL for interactive API documentation: http://<container-hostname-or-IP>:8080/docs
Resources
Vendor resources
Support
Vendor support
Business hours support (USA) 10 AM - 9 PM EST
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Mary
very effective for a new class of data
Reviewed on Nov 12, 2020
Purchase verified by AWS
I used the CloudFormation launch button on the website and everything was up and running in about 5 minutes. API usage is very straightforward, and the built-in docs help a lot.
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