How to Send Filtered Data to an API Using Multiple Filter Conditions

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Workflow Name:

With Target as API but More Than 1 Filter Condition
Purpose:

Send filtered records to API
Benefit:

Automated API updates
Who Uses It:

Data Teams; IT
System Type:

Data Integration Workflow
On-Premise Supported:

Yes
Industry:

Analytics / Data Engineering
Outcome:

Filtered records sent to API endpoint
Category:

Description

Problem Before:

Manual API data updates
Solution Overview:

Filter and push records automatically to API
Key Features:

Filter; validate; push; schedule
Business Impact:

Faster API updates
Productivity Gain:

Removes manual API calls
Cost Savings:

Reduces labor
Security & Compliance:

Encrypted API calls

With Target as API but More Than 1 Filter Condition

The API Multi Filter Workflow sends records to an API endpoint after applying multiple filter conditions, ensuring only relevant and validated data is transmitted. This supports efficient and automated API updates.

Advanced Filtering for Reliable API Data Delivery

The system applies multiple predefined filters to incoming data, validates the filtered records, and pushes them to the target API in near real time. This workflow helps data and IT teams reduce unnecessary data transfer, improve accuracy, and maintain reliable system integrations.

Watch Demo

Video Title:

API to API integration using 2 filter operations
Duration:

6:51

Outcome & Benefits

Time Savings:

Removes manual API updates
Cost Reduction:

Lower labor
Accuracy:

High via validation
Productivity:

Faster push

Industry & Function

Function:

Data Push
System Type:

Data Integration Workflow
Industry:

Analytics / Data Engineering

Functional Details

Use Case Type:

Data Integration
Source Object:

Multiple Source Records
Target Object:

API
Scheduling:

Real-time or batch
Primary Users:

Data Engineers; IT
KPI Improved:

Update speed; accuracy
AI/ML Step:

Not required
Scalability Tier:

Enterprise

Technical Details

Source Type:

API / Database / Email
Source Name:

Multiple Sources
API Endpoint URL:

Target API
HTTP Method:

POST
Auth Type:

OAuth / API Key
Rate Limit:

API dependent
Pagination:

Supported
Schema/Objects:

Filtered records
Transformation Ops:

Filter; validate; normalize
Error Handling:

Log and retry failures
Orchestration Trigger:

On upload or scheduled
Batch Size:

Configurable
Parallelism:

Multi-source concurrent
Target Type:

API
Target Name:

API Endpoint
Target Method:

POST / PUT
Ack Handling:

Response logged
Throughput:

High-volume records
Latency:

Seconds/minutes
Logging/Monitoring:

API logs

Connectivity & Deployment

On-Premise Supported:

Yes
Supported Protocols:

HTTPS; REST
Cloud Support:

Hybrid
Security & Compliance:

Encrypted API calls

FAQ

1. What is the 'With Target as API but More Than 1 Filter Condition' workflow?

It is a data integration workflow that sends records to a target API after applying multiple filter conditions, ensuring only relevant data is transmitted automatically.

2. How do multiple filter conditions work in this workflow?

The workflow evaluates more than one predefined filter condition on the source data and forwards only records that satisfy all conditions to the API endpoint.

3. What types of sources are supported?

The workflow supports data ingestion from APIs, databases, and files, applying multiple filters consistently before sending data to the target API.

4. How frequently can the workflow run?

The workflow can run on a schedule, in near real-time, or on-demand depending on integration and operational requirements.

5. What happens to records that do not meet the filter conditions?

Records that do not satisfy all filter conditions are excluded and are not sent to the API.

6. Who typically uses this workflow?

Data teams and IT teams use this workflow to automate API updates while ensuring only relevant data is transmitted.

7. Is on-premise deployment supported?

Yes, this workflow supports on-premise data sources and hybrid environments.

8. What are the key benefits of this workflow?

It automates API updates, reduces manual effort, ensures only relevant data is sent, and improves reliability and accuracy of downstream systems.

Case Study

Customer Name:

Data Team
Problem:

Manual API updates
Solution:

Automated filtered API push
ROI:

Faster workflows; reduced errors
Industry:

Analytics / Data Engineering
Outcome:

Filtered records sent to API endpoint

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