# Devzery vs Postman

Devzery records 2,378 monthly visits with -85.1% month-over-month growth and Contact for Pricing pricing. Postman records 1,764,877 monthly visits with -7.6% growth and Freemium pricing.

| Metric | [Devzery](https://openaitools.app/tool/devzery) | [Postman](https://openaitools.app/tool/postman) |
| :--- | :--- | :--- |
| Website URL | https://www.devzery.com | https://www.postman.com |
| Categories | AI Testing, AI API, AI Agent, AI Developer Tools | AI Developer Tools, AI API, AI Agent, AI Workflow |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 2,378 | 1,764,877 |
| MoM Growth Rate | -85.1% | -7.6% |
| Primary Market | United States | India |
| Direct Visits | 945 | 580,232 |
| Review Score | 4.2 | 4.7 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Devzery

Devzery is an AI-powered API regression testing platform for QA and engineering teams. Its core is a self-driving AI agent that runs end-to-end regression tests at the API level, verifying user-level functionality, validating integrations and tracking API changes in real time. The goal is to catch regressions earlier in the SDLC and shrink the time spent on manual test authoring.

The platform generates context-rich test suites from a PRD or project details, adapts tests automatically as APIs change, and produces AI-written bug reports with status, related test cases, expected versus actual results and error descriptions. It also generates Swagger documentation for APIs automatically, removing a common manual chore.

Devzery integrates with project management and CI/CD tools such as Jira, GitHub Actions and Jenkins so regression suites can be triggered on every merge or deployment. A middleware SDK with Node, Java, Python and Golang support logs API requests and responses for continuous regression coverage, and Devzery also publishes an open-source UI test case generator on GitHub.

**Pricing & Plans:** Devzery does not publish public list prices; pricing is available on request (the product site currently invites users to join a waitlist). Contact the Devzery team for plan details and a demo.

- **Self-driving API regression agent:** An AI agent runs end-to-end functional regression tests at the API level and tracks API changes in real time.
- **AI-generated test suites:** Devzery analyzes your PRD or project details to generate context-rich API test cases, including edge-case scenarios for broader coverage.
- **Automatic Swagger documentation:** AI analyses complex data structures and generates accurate, up-to-date Swagger schema definitions for your APIs.
- **CI/CD and project management integrations:** Plug into Jira, GitHub Actions and Jenkins to trigger regression suites automatically on merges and deployments.
- **Middleware SDK logging:** Middleware SDKs for Node, Java, Python and Golang log API requests and responses for continuous regression coverage.

**Strengths:** Automates API-level regression testing end to end; Generates test cases from PRDs and product context; Native integrations with Jira, GitHub Actions and Jenkins; Open-source UI test case generator available

**Limitations:** No public pricing; you must contact the team; Product is early-stage with a waitlist for new users; Some marketing claims (2x/3x multipliers) are vendor-reported

[Profile (Markdown)](https://openaitools.app/tool/devzery.md)

## Postman

Postman began as a simple HTTP client and has grown into a platform that teams use across the entire API lifecycle. Requests live in collections, collections are organized into workspaces, and environments hold the variables that differ between local, staging, and production. From there, teams generate specs from requests or requests from specs, publish mock servers before an API exists, and use native Git support plus a CLI to keep API definitions in version control.

Testing and monitoring are first-class: the Collection Runner executes suites with data files and exports results, performance testing simulates load locally or from the cloud, and monitors poll live endpoints for uptime and drift. Documentation can be generated and custom-branded, and a shared package library and vault help teams reuse logic and manage secrets.

The newest direction is agentic. Agent Mode, the Postman CLI with installable agent skills, and a Model Context Protocol server let AI coding assistants operate Postman directly. A Context Graph gives those agents a structured map of APIs, collections, and relationships, while Passport lets callers — including agents — invoke approved APIs through a proxy without ever holding the secret. Around the core product, Postman also offers Fabric for AI traffic governance, Fern for docs and SDK generation, and Astropods for running agents in production. Postman reports being used by more than 50 million developers and 500,000 companies.

**Pricing & Plans:** Freemium. Free for individuals with 50 AI credits per month and core client tools. Solo around $9 per month billed annually (400 AI credits per month, data-driven testing, custom branding, expanded monitoring). Team around $19 per user per month billed annually (collaboration, viewer seats, basic RBAC, 400 AI credits per user). Enterprise is contact-sales and adds API Catalog, governance, advanced RBAC, audit logs, and pooled credits. AI credit overages and cloud performance testing are billed as usage add-ons.

- **API client and collections:** A multi-protocol client with collections, environments, variables, and reusable requests that works for local debugging and for driving automated test suites.
- **Automated testing and Collection Runner:** Generates assertions automatically, supports data-driven runs with exported datasets, and executes tests locally, in the cloud, or from CI pipelines via the Postman CLI.
- **AI agents and MCP server:** Agent Mode, the Postman CLI agent skills, and a Model Context Protocol server let coding assistants build collections, write tests, and trigger API workflows from inside the editor.
- **Context Graph:** A structured, queryable map of an organization's APIs, collections, and dependencies that lets agents find the right service and understand what a schema change would break.
- **Governance and enterprise controls:** API Catalog, Insights, RBAC with SSO/SAML and SCIM, secret scanning, and audit logs help large organizations standardize and secure API usage across teams.

**Strengths:** Covers the full API lifecycle in one tool instead of stitching together several products; Strong AI story with Agent Mode, installable agent skills, an MCP server, and a Context Graph; Free plan is genuinely usable and paid tiers are comparatively affordable; Very large community, extensive docs, and integrations across CI, Git, and identity providers

**Limitations:** The desktop app is resource-heavy and can feel slow on older machines; Many advanced capabilities (API Catalog, advanced RBAC, governance, SSO/SCIM) sit behind Enterprise pricing; AI credits and Context Graph API queries are metered, so heavy agent use adds pay-as-you-go cost; The breadth of features, workspaces, and roles means teams need onboarding time before they are productive

[Profile (Markdown)](https://openaitools.app/tool/postman.md)

## Frequently Asked Questions

### How do Devzery and Postman compare in monthly traffic?

Devzery has 2,378 monthly visits, while Postman has 1,764,877. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devzery has a month-over-month growth rate of -85.1%; Postman has -7.6%.

### How does pricing compare?

Devzery: Contact for Pricing. Devzery does not publish public list prices; pricing is available on request (the product site currently invites users to join a waitlist). Contact the Devzery team for plan details and a demo. Postman: Freemium. Freemium. Free for individuals with 50 AI credits per month and core client tools. Solo around $9 per month billed annually (400 AI credits per month, data-driven testing, custom branding, expanded monitoring). Team around $19 per user per month billed annually (collaboration, viewer seats, basic RBAC, 400 AI credits per user). Enterprise is contact-sales and adds API Catalog, governance, advanced RBAC, audit logs, and pooled credits. AI credit overages and cloud performance testing are billed as usage add-ons.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Integrates API testing and development directly inside your code editor, but lacks Postman's dedicated workspace collection management and documentation publishing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 2 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Excels at autonomous multi-file code generation and repository-wide understanding, but is not purpose-built for manual API endpoint testing. | [.md](https://openaitools.app/tool/qoder.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Powerful visual workflow automation and API integration builder, but lacks Postman's granular API request inspection and documentation features. | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Open-source control plane for orchestrating coding agents | [.md](https://openaitools.app/tool/t3-code.md) |
| 5 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | Automates end-to-end testing using plain language agents, but lacks Postman's manual debugging and environment variable management tools. | [.md](https://openaitools.app/tool/kaneai.md) |
| 6 | [Qase](https://openaitools.app/tool/qase) | 319,213 | -25.5% | Freemium, Free Trial, Contact for Pricing, Free | Offers superior test case management and CI integration for QA workflows, but lacks native API request crafting and mocking tools. | [.md](https://openaitools.app/tool/qase.md) |
| 7 | [CodeGPT](https://openaitools.app/tool/code-gpt) | 170,064 | -19% | Freemium, Paid, Contact for Pricing | Brings model-agnostic AI coding assistance directly into your IDE, but does not provide Postman's structured API collection management. | [.md](https://openaitools.app/tool/code-gpt.md) |
| 8 | [Workik](https://openaitools.app/tool/workik) | 167,268 | -26.3% | Freemium | Context-aware AI that plans, codes, tests, and documents across your engineering workflows | [.md](https://openaitools.app/tool/workik.md) |
| 9 | [Applitools Eyes](https://openaitools.app/tool/applitools-eyes) | 159,934 | -15.7% | Freemium, Free Trial, Paid, Contact for Pricing | AI-powered visual and functional testing that catches UI bugs on every page | [.md](https://openaitools.app/tool/applitools-eyes.md) |
| 10 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI-augmented quality platform for web, mobile, API and desktop testing | [.md](https://openaitools.app/tool/katalon-studio.md) |

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Source: https://openaitools.app/compare/devzery-vs-postman

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