# adata-plugin vs Postman

adata-plugin records 0 monthly visits with — month-over-month growth and Freemium pricing. Postman records 1,764,877 monthly visits with -7.6% growth and Freemium pricing.

| Metric | [adata-plugin](https://openaitools.app/tool/adata-plugin) | [Postman](https://openaitools.app/tool/postman) |
| :--- | :--- | :--- |
| Website URL | https://chromewebstore.google.com/detail/adata-plugin/aaoeokehpfjjdfdjpmfnhfpfbemffpaf | https://www.postman.com |
| Categories | AI Developer Tools, AI Productivity Tools, AI For Data Analytics | AI Developer Tools, AI API, AI Agent, AI Workflow |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 0 | 1,764,877 |
| MoM Growth Rate | — | -7.6% |
| Primary Market | Global | India |
| Direct Visits | 0 | 580,232 |
| Review Score | 3.5 | 4.7 |
| Saved Count | 0 | 0 |
| Supported Platforms | Browser Extension | Website |

## adata-plugin

adata-plugin is a browser extension built for people who spend their days labeling data — text annotation, classification tasks, and other supervised-learning datasets. Instead of clicking through every item manually, the extension layers an AI-assisted workflow on top of the pages you already use, suggesting labels so annotators can accept, adjust, or override them rather than deciding from scratch.

The extension is distributed directly through the Chrome Web Store, installs in a single click, and requires no special hardware or account setup. It is offered by an individual developer (so.zuwei) and is currently listed as version 1.0.0, first published in July 2022, with a Chinese-language interface. The developer states that no user data is collected or sold, which matters for teams handling sensitive or proprietary datasets.

Because it is a compact utility rather than a full annotation platform, adata-plugin works best as a productivity layer on top of whatever labeling tool or spreadsheet your team already uses. It is a good fit for small annotation teams, freelance data labelers, and researchers who want a low-friction speed boost without migrating to an enterprise annotation suite.

**Pricing & Plans:** Distributed as a free Chrome extension with no published paid tier; any future premium capability would be handled by the developer directly.

- **AI-assisted labeling suggestions:** The extension proposes likely labels or annotations as you work, so you can confirm a suggestion instead of classifying each item from zero.
- **One-click Chrome install:** Runs entirely in the browser via the Chrome Web Store, with no server setup, plugin dependencies, or account creation required.
- **Fits your existing workflow:** Acts as a companion layer over the annotation pages you already use, so there is no need to migrate your dataset or tooling.
- **Privacy-conscious design:** The developer declares that user data is not sold or shared and is not used for unrelated purposes.
- **Lightweight footprint:** A small (~3.4 MB) extension with a Chinese-language interface, aimed at keeping annotation sessions fast and distraction-free.

**Strengths:** Free to install and use directly from the Chrome Web Store; Requires no account, backend, or technical configuration; Developer explicitly states user data is not collected or sold; Speeds up repetitive labeling work without replacing your existing annotation tool

**Limitations:** Small independent project with no ratings or reviews to gauge reliability; Last updated in 2022, so it has not tracked newer browser or AI model changes; Interface is only available in Chinese, limiting accessibility for other-language teams; Very narrow scope — it assists labeling but is not a full annotation platform

[Profile (Markdown)](https://openaitools.app/tool/adata-plugin.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 adata-plugin and Postman compare in monthly traffic?

adata-plugin has 0 monthly visits, while Postman has 1,764,877. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

adata-plugin has a month-over-month growth rate of —; Postman has -7.6%.

### How does pricing compare?

adata-plugin: Freemium. Distributed as a free Chrome extension with no published paid tier; any future premium capability would be handled by the developer directly. 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 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.md) |
| 7 | [HARPA AI](https://openaitools.app/tool/harpa-ai) | 537,461 | +99.3% | Freemium | One browser agent that combines every major AI model with web automation | [.md](https://openaitools.app/tool/harpa-ai.md) |
| 8 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | AI data infrastructure for building production-grade models | [.md](https://openaitools.app/tool/super-annotate.md) |
| 9 | [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) |
| 10 | [AI Toolbox](https://openaitools.app/tool/chatgpt-toolbox) | 290,140 | +16.9% | Freemium | Organize, search and export your AI chats across ChatGPT, Gemini, Claude and Grok | [.md](https://openaitools.app/tool/chatgpt-toolbox.md) |

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Source: https://openaitools.app/compare/adata-plugin-vs-postman

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