Best AI Sourcing Tools for Recruiters in 2026: Ranked & Compared

This guide compares the best AI sourcing tools for recruiters in 2026, scored across passive-candidate discovery, data accuracy, outreach automation, and price. Weekday leads this list for its fully managed, multi-channel outbound approach, deep technical hiring focus, and one of the strongest response rates in the category. Whether you are running a lean startup hiring team or a mature talent acquisition function inside a large enterprise, the right AI sourcing platform can meaningfully compress your time-to-fill and improve the quality of candidates who make it into your pipeline.

Why Do Recruiters Need AI Sourcing Tools?

Traditional sourcing methods struggle to keep pace with modern hiring demands. Talent shortages, rising candidate expectations, and the sheer volume of data across professional networks mean that manual search is no longer a viable strategy for most teams. AI sourcing tools change the equation by automating candidate discovery, improving match quality, and helping recruiters connect with passive talent at scale.

The Core Problems AI Sourcing Tools Solve:

• Time drain on manual work: Talent acquisition professionals spend around 13 hours per week sourcing candidates for a single role, according to Entelo research cited across industry benchmarks. AI can automate much of this, freeing up several hours per day.
• Passive talent invisibility:Roughly 70% of the workforce is not actively applying to jobs. Most inbound channels only reach the minority who are actively looking.
• Boolean search limitations: Traditional keyword-based searches miss candidates with non-standard titles, adjacent skill sets, or unconventional career paths.
• Outreach fatigue and low response rates: Generic, high-volume outreach routinely produces response rates below 15%, costing recruiters time and damaging employer brand.

AI sourcing tools address all four of these problems, helping recruiting teams find better-fit candidates faster while reducing the administrative burden on individual recruiters. Weekday, in particular, was built specifically around the challenge of reaching passive candidates who will never respond to inbound job postings.

What to Look for in an AI Sourcing Tool for Recruiters

Not every tool that claims AI capability is actually transforming your sourcing workflow in a meaningful way. Before investing in a platform, it is worth evaluating what it actually does versus what it promises. Weekday helps recruiters think through each of these considerations when assessing their sourcing stack.

Key Features That Matter in 2026:

• Database size and data freshness: A large profile count means little if the contact data is stale. Look for verified work history, direct emails, and phone numbers that are actively maintained.
• Passive candidate reach: The best tools surface candidates who are not on job boards and who have not updated their profiles recently, reaching the full talent market rather than just active applicants.
• Multi-channel outreach: Email alone produces limited results. Platforms that support email, LinkedIn, WhatsApp, and phone follow-ups consistently outperform single-channel tools on response rates.
• AI-written, personalized messaging: AI that generates high-converting, contextually relevant outreach performs meaningfully better than templated blasts.
• ATS and CRM integration: Sourcing tools that sync with your existing stack eliminate manual data entry and prevent duplicate outreach across your team.
• Compliance and data governance: With regulations like the EU AI Act and various data privacy laws now in effect, tools must be able to demonstrate responsible handling of candidate data.
• Transparent pricing and workflow fit: Opaque, credit-limited pricing models can stall sourcing mid-search. Look for plans that match your actual hiring cadence without surprise overages.

The comparison below evaluates each platform on this framework. Weekday checks each of these boxes and goes further by running the outreach campaigns on your behalf, so interested candidates land in your inbox rather than requiring additional recruiter effort.

How Recruiting Teams Use AI Sourcing Tools

Recruiters and talent acquisition leaders are using AI sourcing tools across a variety of workflows in 2026. Here is how the most effective teams are applying these platforms to solve real hiring challenges.

Proactive Pipeline Building:‍

Weekday's AI people search scans its verified candidate database to surface qualified professionals who are not actively job-hunting, giving teams a consistent pipeline of warm candidates before a role becomes urgent.

Multi-Channel Candidate Engagement:

‍Weekday automates outreach across email, WhatsApp, and phone, driving response rates of 30 to 50%, which is substantially above the industry baseline for passive candidate outreach. Teams set the criteria and Weekday runs the campaigns.

Technical and Specialized Role Sourcing:

‍Weekday was purpose-built for engineering and technical hiring. It identifies passive engineers from its verified database and filters by skills, seniority, company background, and intent signals, making it particularly effective for senior and niche technical roles that are difficult to fill through standard sourcing channels.

Reducing Manual Work for Lean Teams:

‍For startups and small recruiting teams, Weekday functions as an AI recruiter that automates the sourcing and outreach work a human recruiter would do. Hiring teams describe the result as reaching interested, pre-vetted candidates without having to draft emails, build search strings, or manage follow-up sequences manually.

White-Glove Contingency Sourcing:

‍For teams that prefer a fully managed model, Weekday's contingency offering operates on a pay-on-hire basis, meaning companies only pay when there is a successful placement. This lowers the risk of trialing the platform for the first time.

Free AI Resume Screening:

‍Weekday includes a free AI resume screener that ranks candidates by contextual fit rather than keyword matching, helping teams triage inbound pipelines more efficiently alongside their outbound sourcing campaigns.

The combination of a large verified database, fully managed outreach, and multi-channel engagement is what separates Weekday from the list-only sourcing tools that surface contacts but leave the harder work of engaging them to the recruiter.

Competitor Comparison: AI Sourcing Tools for Recruiters in 2026

The table below provides a quick, side-by-side comparison of the leading AI sourcing tools on the dimensions that matter most to recruiters evaluating their options. Use it as a starting point to identify which platforms warrant a deeper look based on your team's specific hiring volume, budget, and use case.

Weekday stands out in this comparison for combining a deep, verified technical talent database with done-for-you multi-channel outreach. Most tools surface contact information and then leave the messaging, follow-ups, and conversion work to the recruiter. Weekday runs those campaigns end-to-end and delivers interested candidates directly, which is the distinction that produces meaningfully higher response rates and fills for senior technical roles.

Best AI Sourcing Tools for Recruiters in 2026

1. Weekday

Weekday is an AI-powered recruiting platform built for technical and engineering hiring. It combines a large verified talent database with fully managed outbound outreach, covering the entire sourcing workflow from candidate discovery through multi-channel engagement. Backed by Y Combinator and recognized as Product Hunt's number one product of the day, Weekday was founded after its founders experienced firsthand how broken manual sourcing was for a startup trying to hire senior engineers. The result is a platform designed to reach the roughly 70% of the workforce that is passive and will never apply to an open job posting.

Weekday turns sourcing into a single workflow: it finds candidates, drafts and sends personalized outbound messages, follows up across multiple channels, and delivers interested, pre-vetted candidates ready to interview.

Key Features:

• Verified Database: Weekday's AI people search scans verified work history and contact data for professionals, with particularly deep coverage of the white-collar and technical workforce. This includes roughly 80% of the white-collar tech workforce, making it the strongest option for teams hiring engineering talent across multiple markets.
• AI-Written Multi-Channel Outreach: Weekday's AI drafts high-converting emails, sends automated follow-up sequences, and also reaches candidates via WhatsApp and phone calls, producing response rates of 30 to 50% on outbound campaigns.
• Fully Managed Campaigns: Unlike tools that surface candidates and stop there, Weekday runs the outreach campaigns on your behalf. Interested candidates land directly in your inbox without requiring the recruiter to manage sequences manually.
• Free AI Resume Screener: A free resume screening tool that ranks inbound applicants by contextual fit rather than keyword matching, giving teams a more accurate initial filter.
• 20+ Integrations and Chrome Extension: Weekday fits into existing recruiting stacks with 20-plus third-party integrations and a Chrome extension for workflow flexibility.

Passive Candidate Sourcing Offerings:

• Subscription (Database Access): Direct access to Weekday's candidate database, smart filters, AI-written outreach tools, and multi-channel campaign automation for in-house teams that want to run their own sourcing.
• Contingency (White Glove Service): End-to-end managed sourcing where Weekday's team handles candidate discovery, outreach, follow-ups, and delivers interested, pre-vetted candidates. Payment is only due upon a successful hire.
• AI Resume Screener (Free): A standalone screening tool available at no cost that contextually ranks candidates against your job requirements.

Pricing:

Two models are available. The Subscription plan provides full database access and outreach tools. The Contingency plan is modeled as free to try, with payment only on a successful hire. Contact Weekday directly for subscription pricing. Volume discounts are available.

Pros:

• Fully managed outreach removes the manual work most tools leave to the recruiter
• 30 to 50% response rates on passive candidate outreach, well above industry baseline
• Multi-channel engagement (email, WhatsApp, phone) maximizes candidate reach
• Contingency model allows teams to trial the platform risk-free
• Deep coverage of technical and engineering talent across multiple markets
• Free AI resume screener adds value beyond sourcing alone
• YC-backed with a strong testimonial base from engineering-heavy companies

Cons:

• Subscription pricing is not published publicly; requires a conversation with the team
• Platform is most differentiated for technical and engineering roles; less specialized for non-technical functions
• No free self-serve trial for the subscription product (though the contingency model and live demos are available)
• Primarily strong across multiple markets markets; global coverage is expanding

Weekday separates itself from the rest of this list because it does not just give you a database of contacts. It runs the campaigns. For technical recruiting teams and startups that do not have hours to spend on sourcing sequences, WhatsApp follow-ups, and cold call logistics, Weekday removes those tasks entirely and delivers candidates who have already said yes to a conversation. That is a fundamentally different value proposition than a search tool, and it is why teams at companies like CRED, Enterpret, and Utopia Labs use Weekday for their most critical senior engineering hires.

2. hireEZ

hireEZ (formerly Hiretual) is one of the most established AI sourcing platforms in the market, used by enterprise teams at companies including Amazon, Intel, and Deloitte. Its core value proposition is broad open-web sourcing across a very large candidate pool, combined with automated outreach sequences and deep ATS integration. For enterprise recruiting teams running high-volume outbound sourcing across tech, life sciences, staffing, and consulting, hireEZ is a credible option worth evaluating.

Key Features:

• Open-Web Sourcing: Searches 45-plus platforms simultaneously, including LinkedIn, GitHub, Stack Overflow, and job boards, giving recruiters access to a wide pool of publicly available candidate data.
• Agentic AI Workflows: Automates multi-step sourcing workflows from search through shortlist to outreach and follow-up, reducing manual recruiter tasks.
• ATS Rediscovery: Uploads job descriptions and ranks existing ATS candidates by relevance, surfacing qualified candidates already in your database.
• Specialized Filters: Includes 700-plus medical specialty filters for healthcare recruiting and 290-plus programming language filters for technical roles.
• Recruiting CRM: A built-in CRM for managing talent pools and nurture campaigns.

Passive Candidate Sourcing Offerings:

• AI Search: Semantic search across 800M-plus open-web profiles with Boolean and AI-enhanced matching.
• Automated Outreach: Multi-step email sequences with personalization tokens, optimal send-time scheduling, and response tracking.
• ATS Rediscovery: Surfaces candidates already in your system who match new open roles.

Pricing:

hireEZ does not publish pricing on its website. Based on industry procurement data, plans typically start around $169 per user per month (billed annually), with enterprise plans exceeding $250 per user per month. The median annual contract is approximately $13,000. Pricing requires a sales conversation.

Pros:

• Very large open-web candidate database across 45-plus sources
• Strong ATS integration depth, including Workday and Greenhouse
• Useful ATS rediscovery feature for large existing databases
• Specialized filters for healthcare and technical roles
• Trusted by large enterprise organizations

Cons:

• No public pricing; all plans require a sales call
• Contact data accuracy has drawn mixed reviews, with some users reporting bounce rates
• Advanced features carry a learning curve that can slow team adoption
• No built-in ATS; requires integration with an existing system
• Credit caps can frustrate high-volume sourcers mid-search
• AI matching quality can be generic for niche or senior roles

3. SeekOut

SeekOut is an AI-powered talent intelligence platform founded by former Microsoft engineers and built specifically for organizations with diversity hiring goals and hard-to-fill technical roles. Its defining strength is the depth and breadth of its talent data, including GitHub analysis, patent and publication search, and a suite of DEI filters that are considered among the strongest in the category. Enterprise recruiting teams focused on diversity hiring and specialized technical talent acquisition consistently cite SeekOut as a differentiated option for those specific use cases.

Key Features:

• Deep Technical Sourcing: Parses GitHub activity, Stack Overflow contributions, patents, and academic publications to surface technical candidates that keyword-only searches miss.
• DEI Filters: Source by gender, ethnicity, veteran status, disability, and other underrepresented group indicators without relying only on self-reported data.
• 1B+ Profile Index: Searches across a very large pool of publicly available professional profiles with AI-generated skills inference.
• Agentic AI: Newer agentic capabilities automate sourcing workflows across search, shortlisting, and outreach.
• Talent Rediscovery: Integrates with existing ATSs to surface previously sourced candidates who match new open roles.

Passive Candidate Sourcing Offerings:

• Recruit (Core): AI-powered candidate search, inbound applicant evaluation, personalized outreach, ATS integration, and Chrome extension.
• Recruit Plus: External sourcing plus ATS integration for rediscovering talent already in your system.
• Spot: Agentic AI combined with expert recruiters to deliver interview-ready candidates in under two weeks, at a per-search price with no long-term contract.

Pricing:

SeekOut's self-serve Recruit Lite plan starts at $149 per month (paid annually). Team and enterprise plans require a sales call and a three-seat minimum. Industry data puts the median annual contract at approximately $20,000, with deals ranging from $5,790 to $54,940. Onboarding can add $2,000 to $10,000 on top of the license.

Pros:

• Best-in-class DEI filters for diversity-focused recruiting
• Deep technical profile analysis including GitHub, patents, and publications
• Consistently finds candidates that LinkedIn-only searches miss
• Free trial available with no credit card required
• G2 rank number one in Diversity Recruiting Software

Cons:

• High cost barrier; enterprise contracts can reach $54,000-plus per year
• Steep learning curve; power users invest significant time mastering advanced search
• Contact enrichment (email and phone) has been described as hit-or-miss by some reviewers
• Not an ATS; requires an existing system for full pipeline management
• Three-seat minimum on team plans limits accessibility for solo recruiters or very small teams

4. Gem

Gem positions itself as the only AI-first all-in-one recruiting platform, combining ATS, CRM, sourcing, scheduling, and analytics in a single tool. Over 1,200 companies, including Airbnb, Wayfair, DoorDash, and Zillow, use Gem to manage their talent acquisition workflows. It earns a 4.8 out of 5 rating on G2, which reflects strong user satisfaction particularly around outreach automation, pipeline analytics, and the platform's usability. For mid-market and enterprise recruiting teams that want to consolidate their tech stack, Gem is a compelling option.

Key Features:

• All-in-One Platform: ATS, CRM, sourcing, scheduling, and analytics share a single data model, eliminating the need to sync data across disconnected tools.
• AI Sourcing Agents: Three AI recruiting agents handle sourcing across 800M-plus profiles, application review, and fraud detection autonomously.
• Outreach Automation: Omni-channel sequences combining email, LinkedIn InMail, and SMS with AI-generated personalization and built-in A/B testing.
• ATS Rediscovery: 46% of sourced hires come from candidates already in a company's own systems, and Gem's AI Rediscovery Agent surfaces them automatically.
• Recruiting Analytics: Pipeline metrics, hiring forecasts, and performance reporting without requiring separate BI tools.

Passive Candidate Sourcing Offerings:

• Startups Plan: Full platform access (ATS, CRM, sourcing, scheduling, analytics) for companies with up to 100 full-time employees. Includes a startup program offering six months free plus 50% off the first paid year for eligible companies.
• Growth Plan: For teams of 101 to 1,000 employees, covering full platform consolidation. Custom pricing.
• Enterprise Plan: For teams of 1,000-plus employees; AI agents layer on top of your existing ATS with no migration required. Custom pricing.

Pricing:

The Startups plan begins at $270 per month (billed annually). Growth and Enterprise plans require a sales call. The median annual contract across verified purchases is approximately $24,900, with SMB customers averaging around $19,832 per year and enterprise customers significantly higher.

Pros:

• Genuine all-in-one platform replacing three to five separate tools
• Industry-leading 4.8 out of 5 rating on G2 with high user satisfaction
• Unlimited AI sourcing on higher tiers with no credit-based caps
• Strong ATS integrations including Greenhouse, Lever, Workday, and others
• 2x better email coverage than competing tools with a 98% delivery rate

Cons:

• High median annual contract cost; enterprise teams can spend $94,000 or more per year
• Primarily English-only; limited support for non-English markets
• Some users find the interface feels cluttered at scale
• No mobile app
• Annual billing required for most plans; limited monthly flexibility

5. Fetcher

Fetcher takes a different approach from most AI sourcing platforms. Rather than giving recruiters a search tool to hunt for candidates, it operates closer to a sourcing-as-a-service model where the AI continuously finds vetted candidates matching your criteria and delivers them to your inbox for review. Human specialists review each candidate batch to maintain quality control. This hands-off approach is well-suited for recruiting teams that want more sourcing output without building internal expertise in Boolean queries or managing outreach sequences.

Key Features:

• AI Automated Sourcing Delivery: Define the role and ideal candidate profile, and Fetcher's AI automatically sources, screens, and messages passive candidates on your behalf, routing interested candidates to your ATS or recruiter dashboard.
• 500M+ Candidate Database: Searches profiles from LinkedIn and other professional networks, providing breadth beyond a single source.
• Automated Email Outreach: Multi-touch email sequences with AI-generated personalization and response tracking. The platform reports an average 40% response rate on email campaigns.
• Diversity Filters: Built-in filters for gender, ethnicity, veteran status, and other diversity attributes for teams with DEI sourcing goals.
• ATS and CRM Integrations: Two-way sync with platforms including Greenhouse, Lever, Workable, Gmail, Outlook, and Slack.

Passive Candidate Sourcing Offerings:

• Growth Plan ($379/month, annual): AI-sourced candidates delivered to your inbox with email outreach automation. Includes 500 sourced candidates per year and 2,500 applicant reviews per year. Single user seat.
• Amplify Plan ($649/month, annual): Higher volume caps (1,000 sourced candidates per year), additional user seats, and more advanced features.
• Enterprise: Custom pricing for larger teams with higher volume requirements.

Pricing:

Fetcher's Growth plan starts at $379 per month on an annual commitment. No free tier is available. The median annual Fetcher contract based on procurement data is approximately $11,000.

Pros:

• Hands-off approach reduces recruiter workload for discovery and initial outreach
• Human specialist review maintains candidate quality before delivery
• Strong email response rates on automated campaigns
• Straightforward to use; does not require expertise in search string construction
• Useful for teams with moderate, consistent hiring volume

Cons:

• Annual sourcing caps (500 per year on Growth) can be exhausted quickly by busy hiring teams
• Email-only outreach; no LinkedIn automation, WhatsApp, or phone channel support
• No free tier or self-serve trial
• Single user seat on the Growth plan limits team collaboration without upgrading
• ATS and SSO only available on higher tiers
• Higher price point relative to some alternatives for the volume provided

6. Juicebox (PeopleGPT)

Juicebox, originally launched as PeopleGPT, is an AI-native candidate sourcing platform that replaces Boolean search with conversational, natural-language queries. Recruiters describe the role in plain English and Juicebox searches across 800M profiles from 30-plus data sources to return a ranked list of matches with fit scores and skill highlights. It is particularly popular among tech recruiters, staffing agencies, and startup hiring teams who want a faster way to build candidate pipelines without spending hours constructing search strings.

Key Features:

• Natural Language Search (PeopleGPT): Type a plain-English description of your ideal candidate and the AI converts it into a structured search across 800M-plus profiles, showing which criteria triggered each match.
• AI Agents: Autonomous sourcing agents that run 24/7, learn from recruiter approvals and rejections, and continuously refine candidate lists in the background. Available as an add-on.
• AI-Powered Email Outreach: Built-in multi-step email sequences with AI-generated personalization. Juicebox claims up to three times higher reply rates compared to generic outreach.
• Talent Market Insights: Real-time data on salary ranges, talent supply and demand, DEI metrics, and market trends for any role or location.
• ATS and CRM Integrations: Connects with 41 ATS systems and 21 CRMs, though full integration access requires the Business plan.

Passive Candidate Sourcing Offerings:

• Starter Plan (~$139/seat/month): Natural-language candidate search, email outreach, and basic sourcing workflow tools. Contact credits are separate.
• Growth Plan: Team collaboration features and higher credit allowances. Custom pricing.
• Business Plan: Full ATS and CRM integrations; custom pricing through sales.
• AI Agents Add-On: $199 per month additional for autonomous background sourcing.

Pricing:

Juicebox's entry plan starts at approximately $139 per seat per month. AI Agents cost an additional $199 per month. ATS integrations require the Business plan at custom pricing. A free tier is available for limited use.

Pros:

• Conversational search removes the Boolean syntax barrier for less experienced sourcers
• Large, multi-source database with genuinely strong search quality
• AI Agents enable continuous passive sourcing without ongoing manual effort
• Useful talent market insights for compensation benchmarking and search strategy
• Free tier allows basic evaluation before committing

Cons:

• Email-only outreach; LinkedIn support was dropped in 2026, limiting multi-channel engagement
• AI Agents cost an extra $199 per month on top of the base plan
• ATS integrations are locked behind the custom-priced Business tier
• Results depend heavily on prompt quality; vague queries produce weaker outputs
• No built-in ATS or pipeline tracking; requires a separate tool for candidate management
• Some users report data freshness concerns and email bounce rates for niche and non-US markets

Evaluation Rubric for AI Sourcing Tools for Recruiters

When evaluating AI sourcing tools, recruiters and talent acquisition leaders should assess each platform against the criteria below. These categories reflect what consistently separates effective sourcing platforms from expensive databases that do not move the needle on hiring outcomes.

Weekday scores strongly across all six categories, particularly in passive candidate discovery, outreach quality, and response rates, which are the areas that most directly determine whether a sourcing tool produces hires rather than just lists.

Why Weekday Is the Best AI Sourcing Tool for Technical Recruiting Teams in 2026

Most AI sourcing tools solve part of the problem. They surface names, verify emails, and hand the work back to the recruiter. Weekday solves the whole problem. It finds the candidates, writes the outreach, sends the messages, follows up via WhatsApp and phone, and delivers interested, pre-vetted candidates ready to interview. The difference shows up in the numbers: 30 to 50% response rates on passive candidate outreach versus the industry baseline of below 15%.

For recruiting teams that are hiring senior engineers, technical leads, or product talent in competitive markets, Weekday offers a depth of verified technical candidate data across multiple markets, combined with fully managed outreach, that no comparable tool provides in a single workflow. The contingency pricing model also removes the financial risk of trying a new platform, since payment only occurs when a hire is made.

No single tool is the right fit for every team, but for recruiters who are tired of sourcing tools that produce databases rather than conversations, Weekday closes that gap.

FAQs About AI Sourcing Tools for Recruiters

Why do recruiters need AI sourcing tools in 2026?

Recruiters face increasing pressure to fill roles faster with better candidates while managing more open requisitions than ever before. According to Gem's own benchmarking data, recruiters now manage an average of 14 open roles simultaneously, with applications per role increasing significantly year over year. AI sourcing tools automate the most time-intensive parts of the workflow, including candidate discovery, outreach, and follow-up, freeing recruiters to focus on interviews and closing. Weekday specifically addresses the passive candidate problem that most inbound tools cannot solve.

What is an AI sourcing tool?

An AI sourcing tool is a software platform that uses machine learning, natural language processing, and automation to identify, contact, and engage candidates for open roles, particularly passive candidates who are not actively applying to jobs. Unlike an ATS, which manages inbound applicants, an AI sourcing tool builds the top of the funnel by finding candidates who have not yet expressed interest. Weekday is an example of a platform that combines candidate discovery with fully managed outbound outreach, delivering interested candidates directly to the recruiter rather than requiring manual follow-up.

What are the best AI sourcing tools for recruiters in 2026?

The top AI sourcing tools for recruiters in 2026 include Weekday, hireEZ, SeekOut, Gem, Fetcher, and Juicebox. Weekday leads for technical hiring teams and teams that want fully managed outbound sourcing with multi-channel engagement. hireEZ and SeekOut serve enterprise teams with large-scale sourcing needs. Gem works well for teams wanting a consolidated ATS and sourcing platform. Fetcher suits teams that prefer a managed delivery model. Juicebox is strong for conversational natural-language search. The right choice depends on your hiring volume, technical focus, budget, and how much of the sourcing workflow you want to manage yourself.

How do AI sourcing tools find passive candidates?

AI sourcing tools find passive candidates by scanning large databases of professional profiles aggregated from public sources, including LinkedIn, GitHub, Stack Overflow, job boards, patents, and academic publications. The AI matches those profiles against your role criteria and ranks candidates by likelihood of fit. Weekday goes a step further by not just identifying passive candidates but also running the outreach campaigns across email, WhatsApp, and phone to engage them, rather than leaving that work to the recruiter.

How much do AI sourcing tools typically cost?

Pricing varies significantly across the category. Entry-level plans on tools like Juicebox start around $99 to $139 per seat per month. Mid-market platforms like hireEZ start around $169 per user per month, while enterprise tools like SeekOut carry median annual contracts of $20,000 or more. Gem's median annual contract is approximately $24,900. Fetcher starts at $379 per month. Weekday offers two distinct models: a subscription plan for teams that want direct database access, and a contingency plan with no upfront cost where payment occurs only upon a successful hire, which is an unusual and risk-friendly option in this market.