AvelinLabs API Documentation

Welcome to the AvelinLabs documentation.

AvelinLabs is the workforce intelligence layer for AI-native hiring systems. It turns messy job descriptions, skill signals, occupation data, and labor-market signals into structured, confidence-aware workforce intelligence for HR tech, recruiting, staffing, and workforce platforms.

Evaluate AvelinLabs as infrastructure for hiring decision intelligence, not as a job board, raw job-data feed, ATS, recruiting agency, or generic AI wrapper. The first documented domain is U.S. labor market intelligence: job data, real job-market signals, skill intelligence, O*NET 30.3-grounded occupation intelligence, scoring, ranking, and confidence-aware outputs.

Before reading endpoint mechanics, evaluators should understand the core output pattern: occupation alignment, skill evidence, confidence and uncertainty signals, weak-signal analysis, ambiguity detection, review routing, and market context where available.

Start Here

• Overview introduces AvelinLabs and the workforce intelligence layer concept.
• Getting Started explains how to evaluate the beta API.
• Architecture describes the public decision-layer model.
• Use Cases shows where the current beta capabilities fit.
• API Overview summarizes public API areas.
• Examples links to the official examples repository.

Beta Status

AvelinLabs is currently in beta / early access. The documented API areas are intended for evaluation and integration planning, and some surfaces may evolve as the platform matures.

The public docs focus on what external developers and evaluators need: supported concepts, API areas, current scope, and conservative integration guidance.