# Prolific vs Thor Data

Prolific records 18,697,671 monthly visits with -1.8% month-over-month growth and Paid pricing. Thor Data records 181,966 monthly visits with -3.5% growth and Free Trial, Paid pricing.

| Metric | [Prolific](https://openaitools.app/tool/prolific-com) | [Thor Data](https://openaitools.app/tool/thor-data) |
| :--- | :--- | :--- |
| Website URL | https://prolific.com | https://www.thordata.com/?ls=dc&lk=toolai |
| Categories | AI Research Tool, AI Developer Tools, AI For Data Analytics | AI Web Scraping, AI API, AI For Data Analytics, AI Developer Tools |
| Pricing Model | Paid | Free Trial, Paid |
| Monthly Visits | 18,697,671 | 181,966 |
| MoM Growth Rate | -1.8% | -3.5% |
| Primary Market | United States | Poland |
| Direct Visits | 12,979,710 | 70,443 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 13 | 2 |
| Supported Platforms | Website | Website |

## Prolific

Prolific operates a marketplace where researchers and organisations post studies and verified participants complete them for payment. The pitch is quality over volume: instead of a massive but unvetted panel, Prolific verifies participants, applies attention and honesty checks, and lets requesters filter by detailed demographic, professional, and behavioural criteria. That makes it possible to target narrow, representative groups — for example coding experts, healthcare professionals, or specific national populations — which matters when a study compares groups or needs to generalise beyond a convenience sample.

In recent years Prolific has leaned heavily into AI. Its AI offering covers human preference data for fine-tuning and reinforcement learning, safety evaluation, red-teaming, and benchmarks across languages and tasks. It also publishes a leaderboard of model quality based on human evaluation, and offers developer-facing tooling such as a human-feedback API, agent workflows, and a Model Context Protocol server so AI pipelines can call for human input programmatically. Alongside this, the original academic and market-research business remains central.

Pricing is usage-based. Requesters pay for participant rewards plus a platform fee, and researchers either fund studies per response or talk to sales for larger programmes and managed services. Because rates depend on study length, targeting criteria, and volumes, published list prices are rare — the platform directs larger customers to a sales conversation.

**Pricing & Plans:** Usage-based for requesters: you pay participant rewards plus a platform fee, with custom quotes for large or managed programmes. Participants earn per completed study; joining is free.

- **Verified, targetable participant pool:** Filter participants by detailed demographic, professional, and behavioural criteria and reach narrow or representative samples rather than a generic crowd.
- **AI data and human feedback:** Collect human preference data for model fine-tuning, run safety evaluations and red-teaming, and use a feedback API to plug humans into automated pipelines.
- **Built-in data-quality controls:** Attention checks, honesty screening, and approval workflows help filter out careless or fraudulent responses before you analyse results.
- **Fast study launches:** Publish a study and begin collecting responses quickly, with tooling that supports screening, quotas, and longitudinal designs.
- **Participant side with guaranteed pay:** Participants get a clear per-study reward, flexible scheduling, and a minimum pay standard enforced by the platform.

**Strengths:** Strong focus on data quality with verification and attention checks; Granular targeting that supports niche and representative samples; Fast turnaround compared with traditional panel providers; Growing AI-focused tooling including a human-feedback API and MCP server

**Limitations:** Pricing is quote-based for many use cases, which makes budgeting less transparent up front; Participant availability in some narrow demographics can be limited or slower to fill; Costs add up quickly for large multi-country or longitudinal studies

[Profile (Markdown)](https://openaitools.app/tool/prolific-com.md)

## Thor Data

Thordata describes itself as a high-quality proxy service for web data scraping. It runs a global network of residential, mobile, ISP, and datacenter proxies, then layers scraping solutions — a SERP API, a Web Scraper API with 120+ prebuilt scrapers, a Web Unblocker, and a stealth Scraping Browser — on top.

Beyond raw proxies, Thordata is positioning around data for AI. It offers pre-collected datasets and video datasets (drawing on a very large indexed URL pool) for training and analytics, plus an MCP endpoint and native integrations for n8n, LangChain, LlamaIndex, and Dify so agents and RAG pipelines can call live search and receive clean JSON.

Pricing is usage-based with a free trial and no credit card required. Residential proxies start around $0.65/GB, SERP from $0.70 per 1,000 responses, and ISP and datacenter IPs from about $0.75 each, making it accessible to both individual developers and larger data teams.

**Pricing & Plans:** Thordata offers a free trial with no credit card. Paid usage starts around $0.65/GB for residential proxies, from $0.70 per 1,000 SERP responses, $0.50 per 1,000 scraper results, and about $0.75 per ISP or datacenter IP, with enterprise datasets available on request.

- **Residential proxies:** Access 100M+ rotating real-user IPs across 190+ countries at from $0.65/GB, with rotation and sticky sessions.
- **Mobile and ISP proxies:** Use real 4G/5G mobile IPs for mobile-specific and hard-to-access targets with carrier-level diversity.
- **SERP API:** Pull accurate, real-time results from Google, Bing, and more, starting from $0.70 per 1,000 responses.
- **Scraper and browser APIs:** Deploy 120+ prebuilt scrapers, a stealth Scraping Browser, and web unblocking to collect data at scale.
- **AI agent integrations:** Connect through an MCP endpoint and native n8n, LangChain, LlamaIndex, and Dify integrations to feed AI agents and RAG.

**Strengths:** Large residential network (100M+ IPs) with rotation and sticky sessions; Broad product line covers proxies, SERP, scrapers, and datasets in one place; Native AI-agent integrations (MCP, n8n, LangChain, LlamaIndex, Dify); Free trial with usage-based pricing that scales from solo developers to enterprise

**Limitations:** Pricing is usage-based in GB and per-IP, so costs can scale quickly at high volume; Best suited to technical teams comfortable with proxies, APIs, and scrapers; Some datasets and enterprise features require contacting support

[Profile (Markdown)](https://openaitools.app/tool/thor-data.md)

## Frequently Asked Questions

### How do Prolific and Thor Data compare in monthly traffic?

Prolific has 18,697,671 monthly visits, while Thor Data has 181,966. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Prolific has a month-over-month growth rate of -1.8%; Thor Data has -3.5%.

### How does pricing compare?

Prolific: Paid. Usage-based for requesters: you pay participant rewards plus a platform fee, with custom quotes for large or managed programmes. Participants earn per completed study; joining is free. Thor Data: Free Trial, Paid. Thordata offers a free trial with no credit card. Paid usage starts around $0.65/GB for residential proxies, from $0.70 per 1,000 SERP responses, $0.50 per 1,000 scraper results, and about $0.75 per ISP or datacenter IP, with enterprise datasets available on request.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Extensive cloud platform hosting pre-built scrapers, crawlers, and automation actors for data extraction. | [.md](https://openaitools.app/tool/apify.md) |
| 2 | [Branded](https://openaitools.app/tool/gobranded-com) | 3,704,728 | +6.6% | Contact for Pricing | Large consumer panel for market research surveys, but lacks Prolific's specialized focus on academic studies and AI tuning. | [.md](https://openaitools.app/tool/gobranded-com.md) |
| 3 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Developer-first scraping API that crawls and converts websites into clean LLM-ready markdown or JSON. | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 4 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | Developer API platform providing live web search, content fetching, cloud browsers, and agentic web automation. | [.md](https://openaitools.app/tool/tinyfish.md) |
| 5 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search and crawling API engineered specifically for AI agents and LLM application integration. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 6 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Comprehensive web data infrastructure powerhouse offering extensive proxy networks and advanced scraping APIs. | [.md](https://openaitools.app/tool/bright-data.md) |
| 7 | [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) |
| 8 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Enterprise-grade data annotation and AI alignment workforce, but less self-serve for academic study recruitment and casual surveys. | [.md](https://openaitools.app/tool/appen-com.md) |
| 9 | [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) |
| 10 | [Voxpopme](https://openaitools.app/tool/voxpopme-com) | 301,522 | +38.5% | Contact for Pricing | Specializes in video-based consumer interviews and AI qualitative analysis, but less focused on quantitative academic survey panels. | [.md](https://openaitools.app/tool/voxpopme-com.md) |

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Source: https://openaitools.app/compare/prolific-com-vs-thor-data

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