Question 1

What is HackerEarth?

Accepted Answer

HackerEarth is a skills intelligence platform for technical hiring, used to identify, evaluate, and hire engineering talent at Google, Amazon, Microsoft, and more than 500 global enterprises. It draws on a community of over 10 million developers and 150 million assessments, evaluating candidates across 1,000+ skills and 40+ programming languages with a library of more than 40,000 problems.

Its agentic centerpiece is OnScreen, launched in April 2026, an AI Interview Agent that conducts rigorous, structured technical interviews around the clock using lifelike video avatars. The product targets a specific bottleneck: a strong developer who applies at 11 PM on a Sunday can complete a full technical interview before Monday morning, instead of waiting days for a human interviewer and often taking a competing offer in the meantime.

OnScreen combines three capabilities in one flow. It runs dynamic, role-calibrated conversations that adapt follow-up questions to each candidate's answers and evaluate reasoning rather than recall, all on a deterministic framework so every candidate is assessed the same way. Enterprise-grade proctoring is built into the interview, and KYC-grade identity verification confirms the person being evaluated is who they claim to be, a direct response to proxy candidates and AI-generated resumes.

The output is a structured scorecard rather than a black-box number: it shows the rubric, the candidate's response against each criterion, and the supporting evidence (quotes, code, and timestamps), which makes the evaluation defensible under audit and aligned with rules such as NYC Local Law 144 and the EU AI Act. One enterprise customer reportedly screened more than 2,000 candidates in a single weekend.

OnScreen integrates into HackerEarth's wider platform alongside Technical Assessments, Hiring Challenges, and FaceCode for live coding, and scorecards flow into the ATS. The company, led by CEO Vikas Aditya with offices in Bengaluru and Sunnyvale, also runs a candidate-facing AI Practice Agent for interview preparation. Pricing for OnScreen and FaceCode is not public and is quoted by HackerEarth based on interview volume and integration scope.

Question 2

How much does HackerEarth cost?

Accepted Answer

Enterprise, sales-led pricing. OnScreen (AI Interview Agent) and FaceCode pricing is not publicly disclosed; HackerEarth quotes based on interview volume and integration scope.

Question 3

What does HackerEarth integrate with?

Accepted Answer

OnScreen sits inside HackerEarth's broader platform alongside Technical Assessments, Hiring Challenges, and FaceCode (live coding), and structured scorecards flow into the ATS. Assessments span 1,000+ skills, 40+ programming languages, and a library of 40,000+ problems, with real-time code execution, dashboards, and PDF reports. Built-in KYC-grade identity verification and enterprise-grade proctoring support compliance under frameworks such as NYC Local Law 144 and the EU AI Act.

Question 4

Who is HackerEarth for?

Accepted Answer

Engineering hiring teams, Technical recruiters, Large enterprises hiring developers

Question 5

What are the best alternatives to HackerEarth?

Accepted Answer

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to HackerEarth among enterprise operations agents are Nominal, ParkourSC, GoodTime, Nexus Industrial. Each is graded on the same public evidence, and no vendor pays for placement.

Question 6

Does HackerEarth give you tracing and observability into agent runs?

Accepted Answer

Full under the Agentic Index verification standard. HackerEarth publishes public evidence of tracing, observability and audit logging into agent runs, so a team can see what an agent did and why. Evidence basis: Delivers auditable dimension level scoring rationale for every evaluation plus structured scorecards, behavior analytics, and predictive workforce analytics, comprehensive observability and auditability. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Question 7

Does HackerEarth have SOC 2, SSO and role based access control?

Accepted Answer

Partial under the Agentic Index verification standard. HackerEarth publishes some public evidence of security and identity controls, but narrower than the full set of SOC 2, single sign on (SSO) and role based access control (RBAC). Evidence basis: Provides enterprise grade security with candidate identity verification and documented compliance with EEOC guidance, New York City Local Law 144, and the EU AI Act plus bias mitigation, real security and governance, though named certificat. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Question 8

Does HackerEarth require human approval before an agent acts?

Accepted Answer

Partial under the Agentic Index verification standard. HackerEarth publishes some public evidence of guardrails or oversight, but narrower than a documented human approval step before an agent acts. Evidence basis: Keeps humans as final decision makers reviewing scored evaluations with bias mitigation and auditable rationale, and enforces assessment integrity through real time proctoring, real human in the loop oversight and integrity guardrails, thou. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Integrations & Tool CallingIntegrates with more than fifteen applicant tracking systems and flows structured evaluation data into the hiring stack, real integration and action, though scoped to the recruiting and assessment stack.	Partial
Workflow OrchestrationIts AI Interviewer and OnScreen autonomously conduct adaptive, structured technical and behavioral interviews around the clock and generate scored evaluations without human involvement during the interview, genuine autonomous orchestration.	Full
Knowledge Grounding & RAGGrounds role calibrated interviews and rubric based scoring on a skills taxonomy of over a thousand skills and benchmark population data with auditable dimension level rationale, real grounding, though not a document retrieval engine with citations.	Partial
Human Oversight & GuardrailsKeeps humans as final decision makers reviewing scored evaluations with bias mitigation and auditable rationale, and enforces assessment integrity through real time proctoring, real human in the loop oversight and integrity guardrails, though enforcement targets assessment integrity rather than the agent itself.	Partial
Security, Identity & GovernanceProvides enterprise grade security with candidate identity verification and documented compliance with EEOC guidance, New York City Local Law 144, and the EU AI Act plus bias mitigation, real security and governance, though named certifications such as SOC 2 and single sign on are not detailed.	Partial
Observability & AuditabilityDelivers auditable dimension level scoring rationale for every evaluation plus structured scorecards, behavior analytics, and predictive workforce analytics, comprehensive observability and auditability.	Full
Memory & State PersistenceMaintains a persistent unified dataset across screening, interviews, and development, but a dedicated cross session agent memory or state persistence layer is not documented, so this capability is not present as first class.	Unable to verify
Deployment & Data ResidencyRuns as a hosted cloud platform, and self hosting, on premises, or a private customer controlled deployment is not offered, so deployment and data residency control is not available.	Unable to verify
Prebuilt Agents, Templates & PacksShips prebuilt agents including an AI Screener, AI Interviewer, and OnScreen plus a large library of role specific assessments and questions across a thousand plus skills, real reusable packs, though not a browsable marketplace of clonable agents.	Partial
Triggers & Channel CoverageTriggers technical interviews automatically around the clock when candidates apply and delivers them through video avatars and a coding environment, real event triggers and channels, though not broad multichannel or voice outreach.	Partial
Model Flexibility & RoutingUses its own artificial intelligence for interviewing and evaluation, but user facing model choice or routing across providers is not documented, so model flexibility is not a first class feature.	Unable to verify
APIs, SDKs & MCP ExtensibilityIntegrates with applicant tracking systems, but a public application programming interface, software development kit, or Model Context Protocol support is not documented, so this capability is not present as first class.	Unable to verify
Testing, Debugging & OptimizationApplies a deterministic, benchmark calibrated evaluation framework with auditable rationale and predictive analytics and even benchmarks external artificial intelligence model performance, real evaluation and optimization, though not a dedicated agent testing suite.	Partial
Browser & Computer UseProvides a candidate coding sandbox and proctoring browser, but the agent itself does not autonomously control a browser or computer, so agentic browser or computer use is not part of the product.	Unable to verify

HackerEarth

Vendor details

Canonical URL

Category

Subcategory

Funding status

Company status

Use cases & customers

Primary use cases

Target customers

Deployment options

Integrations

In practice

Sources & related URLs

Research sources

Agentic Index coverage score

Pricing

Related vendors

Alternatives to HackerEarth

Head to head

Contact us