Postman Features

Provides an environment for users to rest their API's functionality, efficiency, and data accuracy.

Protect APIs from threats using authentication, access control and encryption

Allows administrators to create APIs that utilize multiple backend resources and databases.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Records details related to usage and functionality for analytics and reporting.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Manage and direct API requests between clients and backend services

Monitoring and measurement of relevant metrics to assess the performance of IT resources

Active monitoring of systems, applications, or networks

Track revisions and updates made to files and navigate between different versions

The functionality at which APIs integrate with and perform within third-party applications.

Receive data and information in real time

Detects new and undocumented assets as they enter a network and add them to asset inventory.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Provides results of the simulation and reveals potential security gaps or vulnerabilitites.

Tools to track and implement required security policy changes.

Monitors data quality and send alerts based on violations or misuse.

Allows users to set customizable API verification settings to improve security requirements.

Runs pre-scripted security tests without requiring manual work.

Abilities to set standards for network, application, and API security risk management.

Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.

Monitors for and rids systems of bots suspected of committing fraud or abusing applications.

Provides an environment for users to test their API's functionality, efficiency, and data accuracy.

Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

Allows developers to create APIs that utilize multiple backend resources and databases.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Allows administrators to set API design guidelines and best practices.

Enables administrators to set permissions for team members to access workspaces.

Allows members across teams to view progress and updates throughout the design process.

Deploys a broad solution suitable for many types of formats.

Accurately captures system behavior for relevant simulation.

Minimizes the occurence of false positives when testing.

Simulates robust and realistic build environments.

Automatically detects changes in services and suggests remediation and test actions.

Empowers multiple QA testers, developers, and other team members to collaborate on testing.

Allows users to easily set and configure complex test scenarios.

Supports configuration using natural language instructions.

Allows users to customize the tone of agent.

Enables definition of clear security guardrails for agent actions.

Protect APIs from threats using authentication, access control and encryption

Protect sensitive data for digital privacy

Verify the identity of users/devices to enable secure access

Provides support across web, mobile, messaging apps, and other channels.

Allows customization of agent branding, including visual appearance and conversational style.

Equips agents with proactive response capabilities based on predefined triggers.

Facilitates seamless escalation to human employees for complex issues.

Supports various file formats

Processing different types of input like text, voice, images etc.

Provides analytics and reporting on agent performance and interactions.

Offers agents the ability to maintain contextual awareness across interactions.

Ensures compliance with data privacy and governance requirements.

Automates workflows and actions based on agent responses.

Allows the use of APIs for advanced agent configuration.

Enables interoperability with multiple platforms for unified experiences.

Allows integration with CRM data to ground agent responses in business context.

Set up connections to third-party platforms to improve business processes

Provides an environment for users to test their API's functionality, efficiency, and data accuracy.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Allows developers to create APIs that utilize multiple backend resources and databases.

Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

Allows members across teams to view progress and updates throughout the design process.

Enables administrators to set permissions for team members to access workspaces.

Allows administrators to set API design guidelines and best practices.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Limits access to suspicious visitors and monitors for traffic spikes to prevent overloads like DDoS attacks.

Provides a dashboard for users to manage, govern, and secure their API.

Records details related to usage and functionality for analytics and reporting.

Allows administrators to manage pricing and billing of API integration with customer applications.

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Search and filter data across systems to locate required information by entering keywords or certain criteria

Store, manage, and track all electronic documents in a centralized location

Central hub for developers to access documentation, tools and resources

Track and document all activities across devices, networks, and other systems

Enforce consistent standards and policies across the entire API lifecycle

Creation of a plan for an API to expose data and functionality to its users

Manage an API from its creation to deployment through updates, monitoring, and maintenance

Track and manage adherence to policies for any service, product, process, or supplier

Track, manage and store the applications of potential future members, customers or candidates

Assembly of graphs and charts for visualizing and tracking statistics/metrics

Track and interpret metrics on the usage of company resources

Track the management and flow of data throughout the organization

View and track pertinent metrics to find patterns and gain insights from data

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Use AI to generate content in the form of text, images, videos, etc.

Import and export data to and from software applications

Online portal through which end users can access the system, manage tasks, or obtain information

Allows users to manage data from a number of sources

Connect to big data sources

Assemble applications and processes by dragging over and arranging pre-built components

Test specific APIs to determine if systems are properly functioning

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Active reporting of data and metrics

Supports common databases such as MySQL and Oracle

Create, design and manage workflows for repetitive tasks

Define levels of authorization for access to specific files or systems

Track revisions and updates made to files and navigate between different versions

Manage a growing amount of work to meet increased demand without compromising performance

Adjust communications based on previous interactions or personal preferences

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Event-driven HTTP callback that automatically sends real-time data between applications

Application programming interface that allows for integration with other systems/databases

Process and analyze human language in text or audio form

Automatically switching to secondary AI model(s) during failure or hallucinations

Assemble applications and processes by dragging over and arranging pre-built components

Ability to interact with various large language models, such as GPT-4, Claude 3, Gemini, Llama 3, and more

Chatbot or AI assistant that answers queries and provides recommendations within an application

Execution of software tests by leveraging automation tools

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Provides a channel for team members to share media files, communicate, and work together

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

Designing how agent will communicate, take decisions and behave in different scenarios via flowcharts, scripts, or visual editors

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

Process of testing an ML algorithm by feeding it training data to learn from

Tools for the systematic analysis of various types of data or statistics

Allow users to access multiple services after entering their login credentials once

Detect and remove errors

Manage the processes involved when making the application ready for use

Managing and resolving errors that occur during program execution to maintain stability