Workforce Intelligence for Better Hiring Decisions
Turn messy job descriptions into hiring decision intelligence.
Avelin helps HR service providers and workforce platforms classify roles, detect weak job signals, extract skill evidence, identify ambiguity, and decide when human review is needed.
Grounded in O*NET 30.3 and exposed through structured JSON APIs.
Runtime API access is currently controlled during beta. Documentation and examples are public; API keys are issued manually to early-access users. Request early access.
Role Intelligence Output
Structured JSONJob text -> role intelligence
Input
IT Support Tech
Troubleshoot user issues, resolve tickets, support hardware and software.
Occupation Alignment
15-1232.00
Computer User Support Specialists
Confidence
92%
Skills
6 detected
Review Guidance
REVIEW_READY
Weak Signal
low
Ambiguity
role scope clear
Next Step
confirm tools
Structured JSON | skill evidence | confidence-aware | review-ready
Structured decision support with taxonomy grounding
Avelin transforms noisy job titles and descriptions into structured, confidence-aware role intelligence that applications, HR advisors, and AI agents can use.
Built For
Built for hiring and workforce teams that need better role signals.
Built for HR service providers, boutique recruiting firms, staffing firms, workforce advisors, and API-first HR technology teams.
Role Intelligence
Decision support before hiring work moves downstream.
From job text to role intelligence.
Submit a job title and description. Avelin returns occupation alignment, skill evidence, weak-signal indicators, ambiguity flags, confidence guidance, and review-ready explanations.
Improve recruiting intake before sourcing starts.
Avelin helps identify unclear role requirements, missing skill signals, vague descriptions, and questions recruiters should ask before starting a search.
Confidence-aware, not black-box.
Avelin exposes confidence, uncertainty, trust, ambiguity, weak-signal, and review-routing fields so teams can decide what to automate and what to review manually.
The Problem
Job data is noisy.
Titles are inconsistent, descriptions are incomplete, and generic AI systems can invent labels that do not map cleanly to a workforce taxonomy.
Teams supporting hiring decisions need structured role, skill, confidence, ambiguity, and review signals that can move through product logic and human review.
Before / After
Before
Messy job title plus incomplete description: "Ops analyst. Dashboards. SQL. Some forecasting."
After
Occupation alignment, skill evidence, weak-signal indicators, ambiguity flags, confidence guidance, and review-ready explanations.
What the API Returns
Structured JSON for hiring decision workflows.
The API returns structured JSON that can be evaluated, displayed, routed, or used by AI agents.
Occupation alignment
O*NET 30.3-grounded role matches instead of improvised labels.
Skill evidence
Extracted skill signals and evidence that support the result.
Weak-signal indicators
Flags for sparse, vague, or low-evidence job descriptions.
Ambiguity flags
Signals that help identify unclear role requirements.
Confidence guidance
Confidence, trust, and uncertainty fields for routing logic.
Review guidance
Decision labels and explanations for automation or human review.
When To Use Each Endpoint
Choose the response shape your product needs.
/job/classify
Use when you need a single top O*NET occupation for job text.
/job/analyze
Use when you need ranked candidates, skill evidence, explanations, related context, and routing signals.
/occupation/profile
Use when product UIs or review workflows need structured occupation detail.
/market/top and /market/overview
Use when dashboards or enrichment flows need skill, technology, demand, or remote-work context.
Developer Resources
Read, evaluate, and build against the beta.
Examples show how to classify job text, analyze role quality, inspect skill evidence, and interpret confidence-aware outputs.
Getting started
Review the beta platform flow for active early-access users.
API documentation
Review endpoint behavior, request fields, response fields, and beta stability guidance.
Early access
Understand controlled beta access and how runtime API keys are issued during beta.
Use cases
Map endpoint outputs to occupation, skill, market, and workflow use cases.
Examples
Explore examples for job classification, role quality, skill evidence, and confidence-aware outputs.
Build role intelligence into your hiring workflow.
Start with the public docs or review the official examples repository. Runtime API keys are currently issued manually to early-access users during controlled beta.