Fetcher and Metix AI both get filed under AI recruiting, so buyers shortlist them together. The shared label hides where each one stops. Fetcher builds a workspace a recruiter operates, and on its larger plans it staffs part of that desk with its own sourcers. Metix AI starts from an approved role brief and carries the role through outreach, screening and scheduling before the work comes back to you.
Fetcher is the stronger fit for a recruiter who wants to run the search, review profiles in bulk, and own the outreach. Metix AI is the stronger fit when a team can define the role and run interviews but does not want to operate sourcing, reply handling, qualification and scheduling. The prices do not compare on their face. Fetcher publishes $115 a month for Self-serve, $379 for Growth and $649 for Amplify on annual billing, and Amplify includes a dedicated human sourcer. Metix AI runs $49 to $299 a month and meters an interview-ready candidate. Read the meter before you read the monthly number. Neither product interviews, verifies, or decides. That stays with the employer.
Start with the handoff rather than the feature grid, because the feature grids overlap and the handoffs do not. The useful question is not which product searches more profiles. It is what you want to receive at the end: access to a database, a finished search, a running campaign, a reply from a real person, or a candidate sitting on your calendar. Vendors can cover several of those stages, market themselves the same way, and still stop in different places.
A word about who is speaking here. We built one of the two products on this page, so the Metix AI column comes from an interested party and should be read that way. Every Fetcher price below was read off the vendor's own pricing page on 10 August 2026; the capability claims are Fetcher's own description of its plans.
The wider view, covering hiring outcomes, software, agencies and RPO, is a separate essay about buying outcomes instead of software. This page is narrower. It asks which product matches the work you want to keep.
| Metix AI | Fetcher | |
|---|---|---|
| Product model | Interview-ready candidate delivery with a delivery-team quality check | Recruiter-operated sourcing and outreach platform; higher plans add Fetcher-sourced talent and a dedicated sourcer |
| Best-fit buyer | Founder without a recruiter, or a team short on sourcing time | Recruiter or talent team that wants direct control |
| Primary input | A role brief and an employer-approved hiring bar | Search criteria and role inputs |
| Candidate pool | 860M+ profiles in 190+ countries, our own count | 500M+ profiles, the vendor's own count |
| Published entry price | $49 a month for 3 interview-ready candidates on 1 active role | $115 a month for Self-serve; Growth $379 and Amplify $649 on annual billing |
| Typical handoff | A qualified, interested candidate booked for a first interview | Candidate leads, review tools, outreach activity and pipeline data |
| Employer still owns | The bar, the voice approval, interviews, verification and the decision | Review choices, reply handling, interviews, verification and the decision |
Artifact types only, with no volumes invented. Profile counts in both columns are company-reported, ours included. Fetcher prices read from the vendor's pricing page on 10 August 2026 for our survey of what AI recruiting tools cost.
Fetcher holds two buying modes inside one product. By its own description, a recruiter can work the database, the browser extension, bulk AI review and email sequences directly, which is the self-serve half. From the Growth plan upward, Fetcher also sources for you: its plan comparison lists Fetcher-sourced talent, capped by plan, and Amplify adds a dedicated sourcer covering roughly four to six roles. Fetcher's own phrase for that plan is AI assistance all the way to interviews.
So the top of the range works less like self-serve software and more like a sourcing platform with a human service attached to the larger plans, and that makes Fetcher a closer competitor to us than a feature grid suggests.
Metix AI is built for founders without a recruiter and for talent teams whose recruiters have no hours left for sourcing. You define the role and approve the hiring bar and the company voice. From there the work is ours: finding candidates, running the approved outreach, chasing follow-ups, screening for fit and genuine interest, and booking the first interview. Before anything reaches you, a delivery lead reviews the shortlist. Interviewing, verification and the hiring decision stay on your side, and the end-to-end version of that pipeline is written up separately.
If your shortlist also includes a network and a search engine, the three-way comparison with LinkedIn Recruiter and Juicebox walks the same question across access, search speed and delivery.
Fetcher keeps the recruiter close to the search. Its public materials describe a 500M+ profile database, bulk AI review that shows its reasoning, a Chrome extension, email sequencing, and Fetcher-sourced talent on the higher packages. That design earns its keep when a recruiter wants to inspect the evidence, see why a profile surfaced, correct the query, and decide personally which people move forward. On the higher plans, part of that searching shifts to Fetcher's own sourcers. That changes who steers the search. It does not change who answers the candidate.
Metix AI starts from an approved brief instead of a search screen. We find and rank people, send outreach only after you approve how your company sounds, follow up, read what replies actually mean, and screen for fit and interest. A delivery lead then approves the candidate before handoff. The distinction between a tool that ends at a list and a product that ends at a conversation is the whole subject of AI sourcing tool vs AI recruiter, and it is the fault line under this comparison too.
The same six stages, three columns, one question per row: after this product does its part, what is left on your desk?
| Metix AI | Fetcher | Employer | |
|---|---|---|---|
| Define the role | AI drafts a bar | Buyer configures the criteria | Supplies context and approves the bar |
| Source | AI finds people | Platform and package provide search, leads, or sourced talent | Corrects assumptions when needed |
| Outreach | AI sends after approval | Email and sequence tools support the campaign | Approves company voice and policy |
| Replies | AI follows up and reads replies | Team works replies in its own workflow | Handles exceptions and commitments |
| Schedule | AI books the first interview | Depends on the package and the team's process | Provides the calendar and the interview plan |
| Decide | Does not make the hiring decision | Does not make the hiring decision | Interviews, verifies, decides, and employs |
Two recruiting workflows, two different handoffs. Neither product makes the employer's hiring decision.
Prices below were read from each vendor's own page on 10 August 2026. Vendors reprice without announcing it. Check the live page before you sign.
Fetcher publishes prices for three of its four plans, which is more transparency than most of this category offers. Self-serve is $115 a month, and it is the one tier with no annual lever: monthly and annual land on the same figure. Growth is $499 a month, or $379 billed annually. Amplify is $849 a month, or $649 annually. Only Enterprise is quote-only. The pricing page opens on annual rates, so the first numbers you see are the cheaper ones, and the Growth and Amplify cards read Get a quote even though the price is printed just above the button.
What each plan includes is easy to skim past, and it is where the real difference sits. Self-serve buys 300 leads a month and a seat. Fetcher's plan comparison puts Fetcher-sourced talent and inbound applicant review at Growth, with the sourced-candidate allowance rising again on Amplify, and ATS integration, single sign-on and the US-based success team on the higher plans. Extra lead credits sell in blocks of 1,000 and roll over while the seat stays live.
One number to ignore. Fetcher's pricing page meta description still advertises a $117 entry price, or $99 on an annual commitment, and neither figure appears on any plan card. We took the cards. You should re-read them on the day you buy.
Our plans are $49 a month for three interview-ready candidates on one active role, $89 for 12 candidates across three roles, $159 for 30 across six, and $299 for 75 across twelve. Annual billing takes 10 percent off. The unit is a credit, and a credit is a person rather than a click: it is spent when an interested, hire-ready candidate is booked, so a month in which nobody clears your bar spends nothing. Every plan opens with a free 14-day trial that includes 3 New Roles and 12 Credits, with no card required.
Read the meter before the monthly number. A seat sells access to a system. A usage allowance sells activity inside it. A credit sells a delivered candidate.
Then add what the subscription assumes: the operator, contact data, implementation, integrations, campaign monitoring, screening, scheduling, and the cost of a role that stays open another month. A seat can be excellent value in a working recruiter's hands, and it bills at the same rate in a month when nobody has the hours to open it. Why we chose the candidate as the unit is argued in full on our page about outcome pricing.
| Metix AI | Fetcher | |
|---|---|---|
| Published structure | Starter, Growth, Professional, Scale, plus a quote-only volume and specialized tier | Self-serve, Growth, Amplify, Enterprise |
| Public price, checked 10 Aug 2026 | $49, $89, $159 or $299 a month | Self-serve $115 monthly or annual; Growth $499 monthly or $379 annual; Amplify $849 monthly or $649 annual; Enterprise quoted |
| The included unit | 3, 12, 30 or 75 interview-ready candidates, with active-role limits by plan | Leads, sourced talent, applicant reviews and seats, all varying by package |
| What the meter rewards | Handing over a qualified, interested candidate | Access and recruiting activity |
| A month with no result | The plan bills; credits go unspent | The plan bills; leads accrue either way |
| Cost to model on top | Your interviews, verification and decision-making | Recruiter time, contact workflow, integrations and follow-through |
| Trial | 14 days, 3 New Roles, 12 Credits, no card | Not stated in the pricing we surveyed; annual billing is the published discount lever |
Published pricing only. Fetcher Enterprise is quote-only and carries no number here. Per Fetcher's own pricing FAQ, month-to-month runs roughly 30 percent more than annual on the tiers that offer both. Metix AI annual billing saves 10 percent.
Six situations, and the honest answer for each. Two of them point away from us.
| Team condition | Stronger fit | Why | Trade-off accepted |
|---|---|---|---|
| A recruiter wants to inspect and steer searches directly | Fetcher | More direct control over sourcing, review and campaigns | The team keeps more daily operating work |
| Inbound and outbound work should live in one environment | Fetcher | Packages cover applicant review alongside outbound sourcing | Capabilities and handoffs vary by package |
| A founder has a defined role but no recruiter | Metix AI | The handoff happens at an interview-ready candidate | Less control over every search parameter |
| Recruiters are buried in top-of-funnel execution | Metix AI | Sourcing, approved outreach, screening and booking all continue before handoff | The team must define a clear bar and approve the voice |
| The team wants open-ended people research | Fetcher | A hands-on database is the closer match | Research output is not the same thing as an interview |
| The search is confidential and executive-level | Neither, by default | An agency or a specialist network usually fits better | Higher fees and a different service model |
Read the trade-off column before the fit column. Every row above costs the buyer something.
Some readers should stop here and buy Fetcher. Four cases, and the last one costs us a segment we would like to have.
A named person owns candidate review and candidate communication. This buyer inspects the misses, refines the criteria, handles the odd reply, and keeps hiring managers current. Product depth compounds in those hands because the same team keeps using the data and the workflow month after month. Our model gives that person less to do and less to steer.
Inbound and outbound belong in one place. Fetcher's plan comparison has it reviewing applicants who came to you and sourcing people who did not, inside one product from Growth up. We do outbound only, and we do not touch your inbound pile.
The work is market research rather than a hire. Mapping a talent market, sizing a pool, checking what a title pays in three cities: that is database work, and a database priced by access is the right shape for it. Our meter moves only when a candidate is booked against a live role, so we neither price nor perform that job.
You want outreach owned in-house, with help. This is the case that costs us something, so we will put it plainly. Amplify is $649 a month on annual billing and includes a dedicated human sourcer covering roughly four to six roles. For a team that wants to keep the candidate relationship on its own desk and still hand the digging to somebody else, that is a real answer, and it is not one a pure software subscription can give. It also sits above every published Metix AI plan, which is the fair reading: for that buyer, Fetcher is selling more service than we are, and charging for it. Where we differ is the gate. Fetcher prices a package of capacity, we price a delivered candidate, and a delivery lead of ours is accountable for the quality of each one.
The same case inverts. Take a team with two or three open roles, nobody on staff whose week is sourcing, and a leads allowance that runs out while those roles stay open. Leads and sourced profiles both arrive as work rather than as scheduled interviews, so below Amplify this buyer pays for capacity and then supplies the labor that turns it into anything. What that team is actually shopping for is the dedicated sourcer, which arrives on Amplify at $649 a month on annual billing, and that is the number worth setting against a meter that charges per candidate delivered.
Both products can produce candidates for the same role, so the deciding questions are about your side of the handoff rather than theirs. Who will operate the search, review the profiles, and answer the candidate who writes back? And what do you want to be paying for, a package of sourcing capacity or a candidate already booked into an interview?
Choose Fetcher when a named person will operate the search: someone who wants to review profiles in bulk, correct the criteria, run the sequences, and decide when to buy sourcing capacity by the package.
Choose Metix AI when the missing resource is recruiting time: you can define the role and run the interviews, and you want a qualified, interested candidate booked, with a credit spent only when one is.
One set of numbers belongs beside that second card. Across the roles we have run, first interviews are scheduled within 24 hours on 95 percent of them, and outreach sent through us gets about five times the response rate of cold outreach. Those figures are ours and nobody outside the company has audited them. Every profile count and performance claim on this page is company-reported, Fetcher's and ours alike.
Mixed setups are common and sensible. A team can keep a sourcing platform running for pipeline and point us at the two roles that have to close this quarter.
Neither platform is designed for every recruiting requirement. A different product or service is the better answer when:
In those cases an ATS, a dedicated sourcing database, a specialist recruiter or an executive search firm is the closer match. Buyers still working through the shelf can start with our round-up of sourcing stacks, which covers nine of them, Fetcher included, with every published price read off the vendor's own page and the quote-only tiers named as quote-only.
A demonstration can make almost any recruiting workflow look simple. A live role shows where the work actually goes.
Hand both vendors the same role in the same words: the same must-haves, the same nice-to-haves, the same location and remote policy, the same compensation range, and two or three examples each of a candidate who should pass and one who should not. Vendors calibrate on what you give them, so an uneven brief produces an uneven test. Then compare what each one produces against what your team still has to do.
Do not stop the evaluation at the search result. Trace a single candidate from the original criteria to the booked interview, and ask who does each step. Who approves the person before outreach? Who approves the first message? Who fields a question about salary, location or remote work? Who judges whether a warm reply is real interest? Who checks the non-negotiables, books the interview, and records the candidate in your own system? At what point does the work land back on your desk? Those questions separate access to recruiting software from delivery of an interview-ready candidate.
The two products charge for different units, so the monthly price is not a comparison. Count the subscription, then count what the subscription assumes. Recruiter and hiring-manager hours. Contact data or usage allowances. Implementation and integration work. Somebody watching the campaign, handling replies, screening and scheduling. And the cost of the role staying open another month, which usually dwarfs every other line put together.
Fetcher can be the better value when an experienced recruiter uses the platform constantly and wants direct control. We can be the better value when the scarce resource is the employee time it takes to turn an open role into scheduled interviews. Comparing the same way we do it across the category is the subject of our comparison with hireEZ, where the same question comes up against a bigger engine.
Neither one is better for every team. Fetcher is the stronger fit when a recruiter wants to operate the search, review profiles in bulk, export the data and run sequences. Metix AI is the stronger fit when the team wants qualified, interested candidates delivered for interviews and does not want to operate the funnel that produces them.
On its higher plans, yes. Fetcher's plan comparison lists Fetcher-sourced talent from Growth upward, and Amplify includes a dedicated sourcer covering roughly four to six roles. That puts Amplify closer to a delivery service than to self-serve software, and anyone comparing the two products should treat it that way. What still differs is the meter and the gate. Fetcher prices a package of capacity, we price a delivered candidate, and one of our delivery leads is accountable for quality on every handoff.
It depends on what you need delivered. On sticker price we start lower, $49 a month against $115 for Fetcher Self-serve, but the units differ. That $49 buys three interview-ready candidates on one active role. That $115 buys a seat and 300 leads a month that somebody still has to work. Once a plan includes human sourcing the gap moves the other way: Amplify is $649 a month on annual billing, or $849 month to month, above every published Metix AI plan. Compare software, data, implementation, recruiter time and the cost of an open role, not the monthly number alone.
No, and neither one should. AI can help define criteria, search, rank, contact, screen and schedule. The employer interviews, verifies qualifications, applies employment law, decides, and employs the person, and none of that responsibility moves to a vendor that offers to make the call.
Fetcher is a real product with a defensible place. By its own description it searches a large database, reviews candidates in bulk with visible reasoning, runs sequences and reviews inbound applicants, and from Growth upward it sources for you, with a dedicated sourcer on Amplify. Metix AI carries the role farther before the handoff, holds a human quality gate at the end, and charges only when a candidate worth meeting is booked.
Which of those two shapes your team needs is usually obvious from the inside. What you do not know is what either product actually produces against your bar, in your market, this month. That takes one role and about two weeks. Our trial is free for 14 days with 3 New Roles and 12 Credits, no card, so the experiment costs you a brief and the time to read what comes back.
Fetcher publishes prices for three of its four plans, checked 10 August 2026. Self-serve is $115 a month with 300 leads, and it is priced the same monthly or annually. Growth is $499 monthly or $379 on annual billing. Amplify is $849 monthly or $649 annually, and it adds a dedicated human sourcer. Only Enterprise is quote-only. Fetcher's own pricing FAQ says month-to-month runs roughly 30 percent more than annual. One number to skip: the pricing page's meta description still advertises a $117 entry price, or $99 on an annual commitment, and neither figure appears on any plan card.
No, and neither product is an ATS. Metix AI actively finds and contacts people for a defined role, then hands over a qualified, interested candidate booked for a first interview. It does not replace the system where you manage applications, interview scorecards, offers and employee records. Fetcher is a sourcing and outreach platform rather than an ATS as well, which is why its higher plans advertise integration with the one you already run.
It means the person clears the hiring bar you approved, shows real interest in the role, and is worth a first interview. AI screens the candidate and a delivery lead approves the handoff before anyone reaches you. That is also the moment a credit is spent, rather than when a profile is found or a message is sent, so a month in which nobody clears your bar spends nothing.
No card is required. The free trial runs 14 days and includes 3 New Roles and 12 Credits. If the pricing page and the signup screen ever disagree on the details, trust the signup screen.