# Prolific vs ShareID

Prolific records 18,697,671 monthly visits with -1.8% month-over-month growth and Paid pricing. ShareID records 3,618 monthly visits with +200.5% growth and Contact for Pricing pricing.

| Metric | [Prolific](https://openaitools.app/tool/prolific-com) | [ShareID](https://openaitools.app/tool/shareid) |
| :--- | :--- | :--- |
| Website URL | https://prolific.com | https://shareid.ai |
| Categories | AI Research Tool, AI Developer Tools, AI For Data Analytics | AI Face Recognition, AI Detector, AI Image Recognition |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 18,697,671 | 3,618 |
| MoM Growth Rate | -1.8% | +200.5% |
| Primary Market | United States | United States |
| Direct Visits | 12,979,710 | 1,440 |
| Review Score | 4.6 | 4.1 |
| 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)

## ShareID

ShareID positions itself as an identity hub rather than a single verification widget. Its modules cover document authenticity checks performed by photo, video or NFC, active and passive liveness detection aligned with the low, substantial and high eIDAS 2.0 assurance levels, and the issuance and verification of EUDI Wallet attestations such as PID, EAA and QEAA. A fourth module, described as MFA 3.0, lets users authenticate to services with their EUDI Wallet instead of a password, reusing an identity verification already performed.

What makes the platform distinctive is the assembly model. You pick the journeys you need, stack optional behaviours such as reusable versus single-use identity, assisted or unattended flows and intelligent fallback, then deploy through customisable SDKs for web and native apps. Everything runs behind a management console where teams review each request, override automated rejections when the model got it wrong, and track volumes, success rates and fraud typologies. Results are retained only for the authorised retention window.

Compliance is treated as a first-class feature: the platform states that all eIDAS 2.0 assurance levels are supported by design, and that it helps with GDPR and related requirements. It is available as SaaS, on-premise or on SecNumCloud. ShareID reports 92% first-attempt enrollment success and 99.9% document authentication accuracy, and states that 0% of personal or biometric data is stored. The company also works with the French Gendarmerie Nationale on document fraud detection.

**Pricing & Plans:** Not published; ShareID uses contact-for-pricing sales with a free trial available. Deployment can be SaaS, on-premise or on SecNumCloud, which typically implies volume- and scope-based quoting.

- **Document identity verification:** Verify ID document authenticity by photo, video or NFC at low, substantial or high eIDAS 2.0 assurance levels.
- **Active and passive liveness detection:** Detect spoofing attempts with liveness checks that adapt to your required assurance level and follow ETSI TS 119 461 alignment.
- **EUDI Wallet attestations:** Enroll users with their PID attestations and issue or verify EAA and QEAA attestations in line with EUDI Wallet specifications.
- **Passwordless strong authentication:** Let users sign in with their real, already-verified identity through EUDI Wallet authentication rather than a password.
- **Management console and analytics:** Review every verification request, override automated decisions, and monitor volumes, success rates and fraud typologies in one place.

**Strengths:** covers all eIDAS 2.0 assurance levels by design; States that no personal or biometric data is stored; Modular: pick only the verification blocks you need; Flexible deployment, including on-premise and SecNumCloud

**Limitations:** No public pricing; you must contact sales to get a quote; Feature depth aimed at regulated enterprises, which may be heavy for small teams; EU-centric design assumes users hold an EUDI Wallet or EU-recognised documents

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

## Frequently Asked Questions

### How do Prolific and ShareID compare in monthly traffic?

Prolific has 18,697,671 monthly visits, while ShareID has 3,618. 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%; ShareID has +200.5%.

### 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. ShareID: Contact for Pricing. Not published; ShareID uses contact-for-pricing sales with a free trial available. Deployment can be SaaS, on-premise or on SecNumCloud, which typically implies volume- and scope-based quoting.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [Undetectable AI](https://openaitools.app/tool/undetectable-ai) | 3,113,403 | +17.5% | Freemium | Detect, humanize and verify AI content in one place | [.md](https://openaitools.app/tool/undetectable-ai.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Emporia Research](https://openaitools.app/tool/emporia-research) | 270,281 | -0.6% | Contact for Pricing | Sources verified B2B professionals and healthcare experts for specialized research, but lacks broad general-population academic panels. | [.md](https://openaitools.app/tool/emporia-research.md) |
| 8 | [Face Search AI](https://openaitools.app/tool/face-search-ai) | 211,136 | +10% | Freemium, Paid | Reverse face search across the public web, with strong privacy guardrails | [.md](https://openaitools.app/tool/face-search-ai.md) |
| 9 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce. | [.md](https://openaitools.app/tool/label-studio.md) |
| 10 | [Shufti](https://openaitools.app/tool/shufti-pro) | 114,794 | -28.1% | Contact for Pricing | Global identity verification, KYC/AML compliance and fraud prevention | [.md](https://openaitools.app/tool/shufti-pro.md) |

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

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