Agentic Index

Greenhouse vs Workable (2026)

Greenhouse and Workable both anchor the ATS layer, at different price points and market centers: Greenhouse is the structured hiring platform for scaling and enterprise teams via sales, while Workable publishes pricing from 299 dollars a month with AI sourcing over 400M+ profiles and 290+ integrations, strongest in the SMB and mid market. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Choose Greenhouse for enterprise structure and rigor, Workable for published pricing and fast time to hire.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Greenhouse and Workable are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Greenhouse if

  • Structured hiring, scorecards, and process rigor at scale is your requirement.
  • Enterprise compliance and DEI reporting matter to your organization.
  • You accept a sales cycle for a system of record.

Choose Workable if

  • Published pricing from 299 dollars a month gets you moving without a sales cycle.
  • AI sourcing over 400M+ profiles bundled with the ATS is valuable.
  • SMB or mid market speed matters more than enterprise process depth.
At a glance Greenhouse Workable
Category Enterprise operations agent Enterprise operations agent
Entry price Quote only Standard $299/mo ($3,588/yr), Premier $599/mo ($7,188/yr), Enterprise $719/mo ($8,628/yr) at the 1-20 employee band; Workable Agent extra, metered in AI credits
Free / trial — —
Pricing confidence contact only public exact
Feature
G
Greenhouse
W
Workable
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Full / Explicit Full / Explicit

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Partial Full / Explicit

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Partial Full / Explicit
Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Full / Explicit Full / Explicit

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

No / Not documented No / Not documented
Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Partial Full / Explicit

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Full / Explicit Full / Explicit

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Partial Full / Explicit

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

No / Not documented No / Not documented
Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Partial Partial
Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

No / Not documented No / Not documented

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Full / Explicit Full / Explicit

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Partial No / Not documented
Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

No / Not documented No / Not documented

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
G
Greenhouse
W
Workable

Entry price

Lowest public entry point

Quote only Standard $299/mo ($3,588/yr), Premier $599/mo ($7,188/yr), Enterprise $719/mo ($8,628/yr) at the 1-20 employee band; Workable Agent extra, metered in AI credits

Pricing confidence

How public the numbers are

Contact only Public, exact

Billing

Primary billing axis

hiring_volume Two meters, and they are independent. The platform is a banded monthly subscription priced by employee headcount across nine brackets from 1-20 up to 1000+, not per seat and not per job. The Agent is an add-on metered in AI credits per action it takes on a candidate, so agent cost tracks candidate volume rather than headcount. A company with 30 employees hiring heavily and one hiring rarely pay the same platform fee and very different agent bills.

Variable cost

Workload / overage exposure

Medium variable cost High variable cost

Free tier / trial

Try before you buy

No free tier
No free tierTrial

Buying motion

Self-serve vs sales call

Sales call Mixed

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