AgentR
Vibencode Private Limited · Business
AgentR is an AI hiring assistant that reads every application, checks what candidates claim, and ranks a shortlist with the evidence behind each score. Recruiters keep every decision.
About AgentR
What Is AgentR
AgentR is a candidate evaluation platform for employers. It reads every resume in full instead of scanning for keywords, verifies the claims inside those resumes, and runs structured first-round interviews that it scores against a rubric written before anyone applied. The result is a ranked shortlist of applicants, from top picks down to weaker fits, with the supporting line from each resume attached to every score.
The product targets a specific frustration in hiring. Traditional applicant tracking systems reward people who tune their resumes for keyword matches, so fluent writers can outrank people who did harder work. AgentR flips that by scoring on twenty signals such as career growth, gaps, and outcomes still attached to real numbers. A bare list of skills earns nothing; a result with evidence earns a lot.
The most important limit is a deliberate one. AgentR never rejects anyone. Nothing in the pipeline filters a candidate out, and no integrity flag changes a score. The entire pile arrives ranked, and a human decides where to stop reading. The platform is also in private beta, so teams are onboarded slowly and some features are still being built.
Getting Started
- Request access through the AgentR site and pick one role you are currently hiring for. The first role is free, covering up to 50 applicants and 5 interviews with no card required.
- Write the criteria for the role. AgentR asks you to define what counts before ranking begins, and it rejects vague criteria such as culture fit or go-getter instead of scoring them.
- Share a careers link and let applications come in. Every application is read in full against your criteria and each one costs ₹25 whether or not the candidate clears your bar.
- Review the ranked shortlist, check the flagged claims, and set a spend cap before interviews run. Candidates who clear your bar move to a proctored spoken interview.
- Read the interview report, then make the hiring call yourself. AgentR shows its reasoning but never decides who moves forward.
Product Information
A quick look at AgentR's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Startup founders hiring their first few engineers
- In-house recruiters buried under volume
- Hiring managers who distrust black-box tools
Tasks
- Screening hundreds of resumes for one role
- Verifying resume claims before a formal background check
- Running structured first-round interviews
- Reducing time spent on scheduling
Scenarios
- A three-person startup that needs to fill two backend roles on a tight budget
- A recruiter who suspects a candidate used an AI copilot during a live interview
- A team that wants consistency across a hiring sprint
Key features
Reads Every Application in Full
AgentR reads each application end to end instead of pulling keywords. As candidate evaluation software, it scores against your written criteria using twenty signals, including how a career has grown and what a gap was for, then keeps the evidence for each score. According to AgentR, 100% of applications are read and none are skipped, which matters when a screening shortcut would quietly drop a strong candidate.
Verifies Resume Claims
A language model can make any career sound senior in seconds, so AgentR checks claims against the public record and the candidate's own history. Each claim earns one of six verdicts, from supported to mismatch, with sources listed beside it, and a flag is treated as a question worth asking rather than a verdict on character. It works as a consistency check before you spend money on a formal background check, and it does not contact employers or institutions.
Structured Proctored Interviews
Only candidates above the bar you set get invited automatically, and the interview is built from the role rather than a generic question bank. This AI interview platform scores answers against a rubric written before anyone applied, with the supporting quote attached. Two layers watch the session, one watching the room and one watching for machine assistance, and the report ends with a score plus the reasoning behind it.
Ranked Shortlist with Receipts
Every name on the shortlist arrives in tiers, from top picks through contenders to prospects, and each one has evidence a hiring manager can see. You can read the exact arithmetic behind the ordering instead of trusting a mystery number. When a claim does not hold up, this shortlisting software says so and shows what did not add up.
Human-First Decision Boundary
AgentR is built so that nothing auto-rejects a candidate and no integrity flag touches a score. The whole pile reaches you, weak end and all, and where to stop reading stays your call rather than a threshold's. Markers from proctoring land on the recording as things to watch, never as a number that quietly sinks someone.
Usage-Based Billing
AgentR charges for the work rather than for seats, with no license tiers to decode. Your monthly fee returns as balance you spend on two things, reading applicants at ₹25 each and interview minutes at ₹10 each. Unused balance rolls over for six months, interviews pause when balance runs out, and you can set a spend cap per role.
Pros and cons
Pros
- Reads every application instead of screening by keyword, so candidates with unusual or non-linear careers are not dropped before a human sees them.
- Attaches the evidence to every score, which makes the shortlist easy to defend to a hiring manager who wants to know why someone ranked where they did.
- Never auto-rejects, which keeps the final call with your team and avoids the compliance risk of a machine quietly filtering people out.
- Charges per applicant and per interview minute, so a quiet hiring month costs less than a busy one and you are not paying for idle seats.
- Runs structured, proctored interviews with a written rubric, which compared with a casual resume screening gives you comparable data across every candidate.
Cons
- Every applicant is reviewed at ₹25 each even when they are an obvious mismatch, so a high-volume role with lots of unqualified applicants adds up quickly.
- Prices are quoted in Indian rupees and exclude GST, so teams outside India need to work out the local equivalent and any taxes on top.
- The platform is in private beta, which means you join a waiting list and some integrations, like custom ATS and HRIS connections, are still only available on enterprise plans.
- Verification is a consistency check, not a background check, so for regulated roles you will still pay for formal screening elsewhere before making an offer.
Frequently asked questions
AgentR is an AI hiring assistant for employers. It reads every job application in full, checks the claims in each resume against public records, runs structured and proctored first-round interviews, and returns a ranked shortlist with the evidence behind each score. The final hiring decision stays with your team.
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