Sold by: TrackStar.aiÂ
Overview
TrackStar AI is a credit data machine learning company. We are pioneers of predictive credit for embedded finance. Our solutions integrate with lenders and banks to reveal revenue opportunities in real time or via batch processing. Built on over 15 years of proprietary dispute outcome data, our model helps identify erroneous data received from the credit bureaus. Identify Errors Early in the Process such as Pre-Qualify Tools. Expand the amount of applications approved. Reduce Cost of Acquisition by Discovering Opportunities Within Your Data. Identify the portion of previous declines that could now qualify. Bureau and Demographic Agnostic Subscribe to receive detailed input/output samples. This solution is available at no cost for the first 30 days. Please contact us to learn more.
Highlights
- * Precise inferenceing with built-in ETL filtering.
- * Risk Free 30 Day Trial - Deploy in your own Sandbox for secure testing.
- * Discover 10-20% of consumers with errors in their credit files.
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $0.00 |
ml.t2.xlarge Inference (Real-Time) Recommended | Model inference on the ml.t2.xlarge instance type, real-time mode | $0.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.00 |
ml.m5.xlarge Inference (Batch) | Model inference on the ml.m5.xlarge instance type, batch mode | $0.00 |
ml.t2.large Inference (Real-Time) | Model inference on the ml.t2.large instance type, real-time mode | $0.00 |
ml.t2.medium Inference (Real-Time) | Model inference on the ml.t2.medium instance type, real-time mode | $0.00 |
ml.t2.2xlarge Inference (Real-Time) | Model inference on the ml.t2.2xlarge instance type, real-time mode | $0.00 |
Vendor refund policy
This product is offered for free. If there are any questions, please contact us for further clarifications.
Legal
Vendor terms and conditions
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Updated model to newer XGBoost version with improved input data.
Additional details
Inputs
- Summary
Model expects the data of the "text/csv" MIME type where each "line" contains the following information:
Name of the tradeline, e.g. "Bank of America" State, e.g. "NY" Is client married or not 1 - married; 0 - not married. Credit Bureau that reported about this tradeline. Possible values: 1 - Equifax; 2 - Experian; 3 - TransUnion Initial status, e.g. "collection" Input MIME type text/csv
- Input MIME type
- text/csv
Bank of America,NY,1,2,collection
https://github.com/clotz4391/revelar-aws-marketplace-sample/blob/master/notebooks/revelar-drp.ipynb
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Account name | Name of the tradeline, e.g. "Bank of America" | Type: FreeText | Yes |
State | State two letter code like "NY" | Type: FreeText | Yes |
Marital status | Determines if account is joint or not. 0 - account is joint, 1 - account is not joint. | Default value: 1
Type: Integer
Minimum: 0
Maximum: 1 | No |
Initial status of the tradeline | Initial status of the given tradeline, e.g. "collection" | Type: FreeText | Yes |
Resources
Support
AWS infrastructure support
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