# Isahit vs Postman

Isahit records 13,136 monthly visits with +80.2% month-over-month growth and Contact for Pricing pricing. Postman records 1,764,877 monthly visits with -7.6% growth and Freemium pricing.

| Metric | [Isahit](https://openaitools.app/tool/isahit) | [Postman](https://openaitools.app/tool/postman) |
| :--- | :--- | :--- |
| Website URL | https://www.isahit.com | https://www.postman.com |
| Categories | AI Workflow, Large Language Models (LLMs), AI For Data Analytics, AI Developer Tools | AI Developer Tools, AI API, AI Agent, AI Workflow |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 13,136 | 1,764,877 |
| MoM Growth Rate | +80.2% | -7.6% |
| Primary Market | France | India |
| Direct Visits | 5,482 | 580,232 |
| Review Score | 4.1 | 4.7 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Isahit

Isahit positions itself as an ethical outsourcing partner for organisations that need human judgment inside their AI pipeline. Rather than selling software alone, it assembles a managed community of digital workers — claimed at over 1,000 annotators and 18,000 people impacted — and pairs them with project managers, quality assurance layers and its Human-by-API platform. Customers can label on Isahit's own tool, on their existing stack, or on a partner tool.

The service scope spans the classic data-labeling categories (image and video annotation, object detection, NLP extraction, speech and audio) plus newer work created by generative AI: reinforcement learning from human feedback, red-teaming, prompt monitoring, human evaluation of model output, and independent testing for AI Act readiness. On the operations side, Isahit takes on repetitive back-office jobs such as data entry, KYC/KYB checks, product catalog enrichment and review moderation, mostly for e-commerce, retail and services teams.

Its differentiators are social impact and governance. The company is a certified B-Corp, promises part-time flexibility, fair pay and a ban on violent-content labelling, and applies bias-correction and localisation reviews so model output fits regional cultures. Because it works with customer tools and APIs, security-conscious or regulated buyers can keep data within preferred environments while still tapping a scalable workforce.

**Pricing & Plans:** Isahit does not publish public rates; pricing is quoted per project after a scoping call, with offers for one-off labels, ongoing data-processing outsourcing and managed workforce engagements. A free small labelling project is offered through its self-service annotation tool.

- **Image, video and computer vision labeling:** Annotation services for object detection, classification and segmentation across still images and frame-by-frame video, aimed at autonomous driving, drones and industrial inspection models.
- **NLP, speech and audio annotation:** Text extraction, intent tagging, transcription and speech dataset work to train and evaluate language, conversational and voice models.
- **Generative AI and RLHF workflows:** Human feedback collection, prompt monitoring, A/B testing and output evaluation to fine-tune LLMs and correct biases in generative and agentic systems.
- **AI Act trust and validation:** Independent human testing, risk evaluation and traceable evidence to help teams document and validate AI systems against regulatory requirements.
- **Back-office and catalog operations:** Outsourced data entry, cleaning, KYC/KYB verification, PIM and product-catalog management, and review moderation handled by trained operational teams.

**Strengths:** Certified B-Corp model with fair-pay and part-time commitments; Wide modality coverage from computer vision to speech and text; Works on the customer's own tools and APIs; Combines labeling with governance, evaluation and AI Act support

**Limitations:** No transparent public pricing; quotes require a sales conversation; Rates are engagement-specific, so cost forecasting takes more effort; Project-based onboarding means deployment is not instant self-serve

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

Isahit has 13,136 monthly visits, while Postman has 1,764,877. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Isahit has a month-over-month growth rate of +80.2%; Postman has -7.6%.

### How does pricing compare?

Isahit: Contact for Pricing. Isahit does not publish public rates; pricing is quoted per project after a scoping call, with offers for one-off labels, ongoing data-processing outsourcing and managed workforce engagements. A free small labelling project is offered through its self-service annotation tool. 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 | [Prolific](https://openaitools.app/tool/prolific-com) | 18,697,671 | -1.8% | Paid | High-quality human data for AI training, evaluation, and research | [.md](https://openaitools.app/tool/prolific-com.md) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Invisible Technologies](https://openaitools.app/tool/invisible-technologies-inc) | 1,364,520 | +64.4% | Contact for Pricing | Enterprise AI infrastructure where software and expert humans work together | [.md](https://openaitools.app/tool/invisible-technologies-inc.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Human-validated training data and evaluation services for frontier AI models | [.md](https://openaitools.app/tool/appen-com.md) |
| 10 | [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) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)