[NewSearch millions of jobs from your AI agent with MCP→](/blog/jobspipe-mcp-server) [All posts](/blog) ![](/listly/card-field.png) ReferenceWorkforce Reference·Jul 27, 2026·8 min read # Pearson Workforce Solutions API (Faethm): what it offers, and how access works Pearson's workforce API - built on the Faethm acquisition - models how technology impacts occupations: emerging and declining skills, task-level AI exposure, learning pathways, and an O\*NET crosswalk. Every endpoint group in the reference, the JWT-gated access model with no public pricing, and where a live postings feed fits alongside it. ![Dvir Atias](/authors/dvir-atias.jpg) Dvir Atias Founder, JobsPipe Pearson - the education company - sells a workforce analytics API, and the lineage explains why: it acquired Faethm, an Australian workforce analytics firm, in 2021, and the Workforce Solutions API platform is that modeling engine behind a REST surface. Where most labor market APIs describe the present (who is hiring, what it pays), Pearson’s is built to model the future: which technologies will impact which occupations, which skills are emerging or declining, and what reskilling path moves a worker from a shrinking role to a growing one. This post maps the API surface as documented and is not affiliated with Pearson. ## What’s in the reference The documented platform groups roughly fifty endpoints into seven areas. **Occupations** is the largest: details, search, snapshots, compensation by country and year, and per-occupation skill lists split into top, emerging, declining and trending - plus historical trend series. **Skills** mirrors that at the skill level, including an AI skills list and related-skills lookups. **Industries** repeats the emerging/declining/trending lens per industry. **Tasks** breaks occupations into task lists - the unit that automation analysis actually operates on. The two groups that differentiate it: **Technology** (impacting technologies per occupation, impacted tasks, yearly technology-impact series - the “how exposed is this job to AI” machinery) and **Transformation**, the applied layer: a learning-pathways recommender, occupation comparator and matcher, resume mapper, skill extractor, and a bidirectional crosswalk to [O\*NET](/blog/onet-api) - which tells you the internal occupation model is anchored to the same [SOC-based spine](/blog/soc-codes) as the US government data. ## How access works Authentication is JWT bearer tokens, and that is roughly where the self-serve story ends: the public documentation lists no pricing, no rate limits and no sign-up flow. This is the same enterprise-gated access model as Lightcast and the other [talent intelligence platforms](/blog/talent-intelligence-platform) - contracts through sales, credentials after procurement. Budget accordingly: if you need a key this afternoon, this is not that kind of API. ## Who it fits The buyer shape is visible in the endpoint list. Learning pathways, resume mapping and skill extraction serve L&D and workforce transformation teams - unsurprising given Pearson sells the learning content those pathways lead into. Technology-impact modeling serves strategic workforce planning: the “which of our 40,000 roles does AI change” question boards now ask. If instead you want the empirical version of that question - counting what employers actually post rather than modeling projections - that is a different tool entirely. ## The gap: models need ground truth Everything in this API is derived data: occupation models, projections, impact scores. Useful - but a projection ages the moment the market moves, and the check on any “emerging skills” model is whether employers are actually asking for those skills in postings this month. That ground-truth layer is what a live postings API provides, and pairing the two is the strongest setup: Pearson-style models for the forward view, posting-level data for what is verifiably happening now. The landscape for that layer is in [labor market data sources](/blog/labor-market-data-sources); the self-serve option is below. Want the ground-truth layer? Live postings from 30+ sources, free tier, key in 30 seconds. ![](/listly/shape-heart.png) FAQs ## Frequently Asked Questions ### What is the Pearson Workforce Solutions API? A REST API platform from Pearson, built on its 2021 acquisition of the Australian workforce analytics firm Faethm, that models how technology impacts occupations. Its roughly fifty endpoints cover occupation and skill data (including emerging, declining and trending skills), industry trends, task-level technology impact, and applied tools such as a learning-pathways recommender, resume mapper, skill extractor and a bidirectional O\*NET crosswalk. ### How much does the Pearson Workforce API cost? There is no published price. The public documentation lists no pricing, rate limits or self-serve sign-up; authentication is JWT bearer tokens issued after a sales process. It follows the same enterprise-gated model as Lightcast and other talent intelligence vendors - contracts through procurement rather than an API key you can create yourself. ### What is Faethm? Faethm was an Australian workforce analytics company whose models predicted how automation and emerging technologies would impact occupations and tasks. Pearson acquired it in 2021, and its engine now underpins Pearson's Workforce Solutions API and workforce transformation offerings, feeding into Pearson's learning and reskilling content business. ### Does the Pearson Workforce API include job postings? No. Its data is derived and model-based - occupation profiles, skill trends, technology-impact projections - rather than a feed of live vacancies. Teams that need the empirical counterpart, meaning what employers are actually posting right now, pair modeling APIs like Pearson's with a live job postings API and use the postings as ground truth for the projections. [ ← Previous Skills taxonomies compared: O\*NET, ESCO, Lightcast Open Skills and the vendor stacks ](/blog/skills-taxonomy)[ Next → Lightcast alternatives: 7 options for labor market data in 2026 ](/blog/lightcast-alternatives) --- Canonical URL: https://jobspipe.dev/blog/pearson-workforce-api Title: Pearson Workforce Solutions API (Faethm): what it offers, and how access works Description: Pearson's workforce API - built on the Faethm acquisition - models how technology impacts occupations: emerging and declining skills, task-level AI exposure, learning pathways, and an O*NET crosswalk. Every endpoint group in the reference, the JWT-gated access model with no public pricing, and where a live postings feed fits alongside it. --- AI agents: the full machine-readable index of this site is https://jobspipe.dev/llms.txt?src=md-twin - API quickstart, no-key sandbox (POST https://api.jobspipe.dev/v1/sandbox/jobs/search), MCP server, pricing. Free key: https://jobspipe.dev/signup