# ats **Category:** ๐Ÿ’ป Developer Tools **Repository:** https://github.com/Kayvan-Zahiri/state-of-ats-2026 **npm Downloads (last month):** 37 **Views:** 0 **Installs:** 0 **Upvotes:** 0 **Directory Page:** https://allmcps.com/mcp/ats ## Description Which ATS does a company use? Portal-verified answers for 743 employers + resume ATS check. No key. ## Claude Desktop Quick Installation Heuristic fallback โ€” verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low): ```json "mcpServers": { "ats": { "command": "npx", "args": ["-y","ats"] } } ``` ## Documentation & README # State of ATS 2026 โ€” Dataset [![npm version](https://img.shields.io/npm/v/@withresumeai/ats-data.svg)](https://www.npmjs.com/package/@withresumeai/ats-data) [![License: MIT](https://img.shields.io/badge/license-MIT-green.svg)](./LICENSE) [![GitHub stars](https://img.shields.io/github/stars/Kayvan-Zahiri/state-of-ats-2026?style=social)](https://github.com/Kayvan-Zahiri/state-of-ats-2026) [![CI](https://github.com/Kayvan-Zahiri/state-of-ats-2026/actions/workflows/test.yml/badge.svg)](https://github.com/Kayvan-Zahiri/state-of-ats-2026/actions/workflows/test.yml) [![Maintained by ResumeAI](https://img.shields.io/badge/maintained%20by-ResumeAI-blue)](https://withresumeai.com) The 743-employer Applicant Tracking System dataset from the [**State of ATS 2026** report](https://withresumeai.com/reports/state-of-ats-2026). Across the **707 employers verified against their live careers portals**, Workday leads at **38.0%** โ€” common, but well short of a majority โ€” and the market is far more fragmented than usually claimed: Greenhouse 12.6%, SAP SuccessFactors 9.6%, Oracle Cloud HCM 6.9%, then a long tail of iCIMS, Avature, Eightfold, SmartRecruiters, Taleo, and Ashby. The top three vendors together cover 60.3% โ€” not the "triopoly" often claimed โ€” and 36 distinct platforms are in active use. Published as a CSV + typed TypeScript wrapper so you can drop it into a notebook, a SQL warehouse, or your job board without any scraping. > ### โš ๏ธ Accuracy notice (June 2026) > An earlier version of this dataset reported Workday at 75.4% with a > "hand-verified" methodology. That was wrong: the original ATS attributions > were **compiled with AI from public information and were not individually > verified**. A portal-verification audit found them only ~52% accurate (the > model defaulted to "Workday" when unsure). We have since re-checked **707 of > the 743** employers against their live careers-portal apply-URL hosts. Those > rows now carry **`verified: true`** and the numbers above reflect ONLY that > verified subset. The remaining ~30 rows are `verified: false` โ€” unconfirmed > prior estimates; treat them as leads, not facts. **For analysis, filter to > `verified === true`.** --- ## Headline numbers Share of the **707 portal-verified employers** (`verified === true`): | ATS vendor | Companies | Share (verified) | | ----------------- | --------: | ---------------: | | Workday | 269 | **38.0%** | | Greenhouse | 89 | **12.6%** | | SAP SuccessFactors| 68 | 9.6% | | Oracle Cloud HCM | 49 | 6.9% | | iCIMS | 39 | 5.5% | | Internal / proprietary| 30 | 4.2% | | Avature | 26 | 3.7% | | Eightfold | 24 | 3.4% | | SmartRecruiters | 19 | 2.7% | | Taleo | 18 | 2.5% | | Ashby | 15 | 2.1% | | USAJobs | 10 | 1.4% | > **The top 3 vendors (Workday + Greenhouse + SuccessFactors) cover ~60%** of > verified employers โ€” not the "triopoly" often claimed. 36 distinct ATS > vendors appear across the verified set, plus proprietary internal systems > (Amazon, Meta, Google, Microsoft run their own). > **Job seeker?** The practical takeaway: the same resume is parsed > differently by each ATS, so it scores differently in Workday vs Greenhouse > vs Lever. The free [ResumeAI ATS checker](https://withresumeai.com/ats-checker) > scores yours against the specific parser your target employer uses. --- ## Install ```bash npm install @withresumeai/ats-data ``` ```ts import { companies, verifiedCompanies, getATSForCompany, getCompaniesByATS, getCompaniesByIndustry, atsDistribution, atsShare, } from "@withresumeai/ats-data"; console.log(companies.length); // 743 (all rows) console.log(verifiedCompanies.length); // 707 (verified === true) getATSForCompany("apple"); // โ†’ { company: "Apple", slug: "apple", atsSystem: "Internal ATS", industry: "Technology", sourceUrl: "..." } // Each row carries a `verified` flag โ€” filter to it before trusting an attribution: companies.find((c) => c.slug === "apple")?.verified; // true // atsDistribution()/atsShare() count the VERIFIED subset by default: atsDistribution(); // โ†’ { Workday: 138, Greenhouse: 57, SuccessFactors: 24, "Oracle Cloud HCM": 23, "Internal ATS": 18, iCIMS: 15, ... } atsShare(); // โ†’ { Workday: 38.05, Greenhouse: 12.59, SuccessFactors: 9.62, ... } atsShare({ all: true }); // include unconfirmed rows (not recommended for analysis) ``` Works the same in CommonJS: ```js const { getATSForCompany } = require("@withresumeai/ats-data"); ``` ### Python (pandas) The CSV is shipped inside the npm tarball, but you can also grab it directly from this repo or from the live API: ```python import pandas as pd # Option A: install the npm package, then load from node_modules df = pd.read_csv("node_modules/@withresumeai/ats-data/data/companies.csv", comment="#") # Option B: download the canonical CSV from the published report df = pd.read_csv( "https://withresumeai.com/api/reports/state-of-ats-2026/csv", comment="#", ) df[df["verified"]]["ats_system"].value_counts().head(12) # verified rows only ``` ### Raw CSV download - **GitHub:** [`data/companies.csv`](./data/companies.csv) - **Canonical URL:** - **Schema:** `name, slug, industry, ats_system, hiring_volume_tier, top_roles, source_url, verified` --- ## What's in the dataset Each row is one employer with seven fields: | Column | Example | | --------------------- | ---------------------------------------- | | `name` | `Apple` | | `slug` | `apple` | | `industry` | `Technology` | | `ats_system` | `Workday` | | `hiring_volume_tier` | `mega` · `high` · `mid` | | `top_roles` | `software-engineer\|product-manager\|data-analyst` | | `source_url` | `https://withresumeai.com/ats-checker/apple` | | `verified` | `true` (confirmed vs live portal) ยท `false` (unconfirmed) | 743 rows in total โ€” **707 with `verified=true`** (confirmed against the live careers portal in June 2026) and 406 with `verified=false` (unconfirmed prior estimates, pending re-verification). Coverage spans the Fortune 500, the Global 2000, and a curated set of high-growth private companies (Series C and later, $1B+ valuation). --- ## Methodology The dataset covers 743 large employers selected to maximize coverage of where U.S. and global job seekers actually apply โ€” by hiring volume rather than headline market cap. **Two-stage provenance (read this).** The company list and an initial ATS guess for each were **compiled with AI from public information** โ€” fast, but not individually checked. That first pass was wrong often enough to matter (a later audit measured ~52% accuracy; it over-assigned "Workday" whenever the model was unsure). So in June 2026 we verified 713 of the 743 employers, and in July 2026 a full re-verification pass re-checked every record and corrected the drift (acquisitions, renames, silent vendor migrations) to the current **707 verified** the right way: - Open the employer's official careers/apply page and read the **apply-URL host** โ€” the ground truth. `*.myworkdayjobs.com` โ†’ Workday, `boards.greenhouse.io` โ†’ Greenhouse, `jobs.lever.co` โ†’ Lever, `*.icims.com` โ†’ iCIMS, `*.oraclecloud.com/hcmUI` โ†’ Oracle, `*.successfactors.*` โ†’ SuccessFactors, `*.avature.net` โ†’ Avature, `jobs.ashbyhq.com` โ†’ Ashby, proprietary host (e.g. `jobs.apple.com`) โ†’ Internal. Rows that passed that check have **`verified: true`**; the rest keep their unconfirmed first-pass estimate with **`verified: false`**. Every market-share number in this README and in `atsShare()` is computed over the verified subset only. Each company is also tagged with **industry**, a **hiring volume tier** (mega: 100k+ employees; high: Fortune 500 / major hirer; mid: mid-cap / growth-stage), and **top hiring roles** (1โ€“3 role slugs that map to the dominant openings). **Limitations.** (1) Only ~45% of rows are verified so far โ€” the rest are estimates, flagged as such; filter to `verified` for anything load-bearing. (2) Point-in-time snapshot โ€” mid-market employers change ATSes often, and some will have migrated since June 2026. (3) "Internal ATS" is an umbrella for proprietary systems with no third-party vendor host (e.g. Amazon, Meta, Apple, Google, Microsoft). The full methodology, vendor-by-vendor commentary, and cross-tabs by industry and seniority are in the [**State of ATS 2026** report](https://withresumeai.com/reports/state-of-ats-2026). --- ## Citation If you use the dataset in journalism, research, or a downstream product, please cite as: > Zahiri, K. (2026). *State of ATS 2026: Applicant Tracking Systems used > by 743 large employers.* ResumeAI. > BibTeX: ```bibtex @misc{zahiri2026stateofats, author = {Zahiri, Kayvan}, title = {State of ATS 2026: Applicant Tracking Systems used by 743 large employers}, year = {2026}, publisher = {ResumeAI}, howpublished = {\url{https://withresumeai.com/reports/state-of-ats-2026}}, note = {Dataset available at \url{https://github.com/Kayvan-Zahiri/state-of-ats-2026}} } ``` --- ## Contributing PRs welcome โ€” additions, corrections, ATS migrations. See [CONTRIBUTING.md](./CONTRIBUTING.md) for the schema, the review process, and what we will / won't merge. --- ## Related - **State of ATS 2026** full report — - **ATS checker** (per-company pages backed by this dataset) — - **ResumeAI** — the resume builder this dataset powers — ## License MIT. See [LICENSE](./LICENSE). Built and maintained by [Kayvan Zahiri](https://github.com/Kayvan-Zahiri) / [ResumeAI](https://withresumeai.com).