Bulk Solver

Bulk Solver API Category

Overview

The Bulk Solver API provides a powerful solution for processing large volumes of data in a single operation. This category enables developers to upload batches of data for asynchronous processing and retrieve results once computation is complete. Instead of making individual API calls for each data point, the Bulk Solver streamlines operations by handling thousands of records in a single request, significantly improving efficiency for data-intensive applications.

Category Details

Parent Category: Root
Child Categories: None
APIs in this category: Bulk Upload, Bulk Status

Key Capabilities

Main Functionality

The Bulk Solver API enables batch processing of large datasets through an asynchronous workflow. Users upload CSV or custom format files containing data points, the system processes these records in the background, and provides downloadable results when complete. This approach optimizes performance for large-scale data operations while providing status tracking throughout the process.

Batch Data Processing

Upload large datasets (1,000+ records) in CSV format or custom data in ZIP files for efficient processing in a single operation, eliminating the need for multiple API calls.

Asynchronous Execution

Submit processing jobs that run in the background, allowing your application to continue other operations while complex calculations are performed on your dataset.

Status Monitoring

Track the progress of your bulk processing jobs with detailed status information, including completion percentage, processing time estimates, and error reporting.

Common Use Cases

Financial Services

Healthcare

E-commerce

Batch processing of transaction data for fraud detection analysis

Bulk calculation of risk scores for loan applications

Mass portfolio optimization and rebalancing calculations

Integration Considerations

Best Practices

Always include a unique identifier for each record in your CSV file to easily map results back to source data

Implement retry logic with exponential backoff when checking job status to avoid rate limiting

Structure your data consistently and validate it before submission to minimize processing errors

For very large datasets (>100,000 records), consider splitting into multiple batch requests

Important Limitations

Each CSV file must contain at least 1,000 data entries to qualify for bulk processing

Maximum file size for CSV uploads is 50MB; for ZIP files (custom format), the limit is 100MB

Processing time varies based on data complexity and system load; status checks should be performed at reasonable intervals

Results are typically available for download for 7 days after processing completes

How APIs in this Category Work Together

The Bulk Solver category provides a complete workflow for batch data processing through its two complementary APIs. These endpoints work in sequence to handle the entire lifecycle of bulk data operations from submission to result retrieval.

Key Integration Patterns:

Bulk Upload + Bulk Status: Submit a large dataset for processing, then periodically check its status until completion

Bulk Status + Bulk Status: Implement a polling mechanism to monitor job progress at appropriate intervals

Bulk Status + Result Download: Once processing is complete, use the download URL returned by the status API to retrieve results

A typical end-to-end workflow begins with the Bulk Upload API to submit a CSV file containing thousands of records. The API returns a job ID, which your application then uses with the Bulk Status API to monitor progress. Your application can poll the status endpoint at reasonable intervals (e.g., every 30 seconds) until the status indicates completion. At that point, the Bulk Status API provides a secure URL where the processed results can be downloaded, completing the asynchronous processing cycle.

The Bulk Solver category complements several other API categories by providing batch processing capabilities that enhance efficiency when working with large datasets. While other categories may focus on specific business functions, the Bulk Solver adds scale and performance optimization.

Related Categories include:

Data Processing: While the Bulk Solver handles batch operations, the Data Processing category provides APIs for real-time, individual record processing when immediate results are needed

File Management: Provides complementary capabilities for managing, storing, and organizing the input and output files used with the Bulk Solver

Analytics: Offers tools to further analyze and visualize the results generated from bulk processing operations

The Bulk Solver serves as a critical bridge between raw data collection and meaningful analysis. For example, an application might use File Management APIs to organize incoming data files, the Bulk Solver to process them efficiently, and then Analytics APIs to derive business insights from the results. This combination creates a complete data pipeline that scales effectively for enterprise applications handling millions of records.

Overview#

Key Capabilities#

Common Use Cases#

Integration Considerations#

How APIs in this Category Work Together#

Related Categories#

Overview

Key Capabilities

Common Use Cases

Integration Considerations

How APIs in this Category Work Together

Related Categories