Multi-ATS Compliance Program Demand Intelligence

Find SOC 2, ISO 27001, PCI DSS, HIPAA, GDPR, and FedRAMP mentions in public Greenhouse, Lever, and Ashby job descriptions. For GRC research and account qualification, see which published roles mention a framework and read the exact supporting excerpt. A mention does not establish certification, software adoption, buying intent, budget, or a role requirement: it can also appear in employer boilerplate.

Start in 30 seconds

{
  "companies": [
    {
      "company": "Stripe",
      "boards": [
        {
          "provider": "greenhouse",
          "slug": "stripe"
        }
      ]
    },
    {
      "company": "Cloudflare",
      "boards": [
        {
          "provider": "greenhouse",
          "slug": "cloudflare"
        }
      ]
    },
    {
      "company": "OpenAI",
      "boards": [
        {
          "provider": "ashby",
          "slug": "OpenAI"
        }
      ]
    },
    {
      "company": "Palantir",
      "boards": [
        {
          "provider": "lever",
          "slug": "palantir"
        }
      ]
    }
  ],
  "maxJobsPerCompany": 100,
  "termDictionary": [
    "SOC 2",
    "SOC2",
    "ISO 27001",
    "ISO27001",
    "PCI DSS",
    "PCI-DSS",
    "HIPAA",
    "GDPR",
    "FedRAMP"
  ]
}

Run the sample, inspect the Dataset, then replace the companies and public ATS identifiers. Save recurring inputs as Apify Tasks or call this Actor through API, webhooks, Make, n8n, Zapier, ChatGPT, Claude, or Neuton Actors MCP.

Output

Each complete, matching company analysis includes company, totalOpenJobs, jobsAnalyzed, sampleCapped, matchedJobs, complianceCounts, evidenceJobs, evidenceJobUrls, boardSnapshots, and scrapedAt. Each evidence job includes its title, public URL, provider, and literal matched excerpts. technologyCounts and technologyShares are compatibility fields for the same canonical compliance terms. Aliases such as SOC2 and SOC 2 count once per job. There is no purchase-intent score or inferred buyer team.

totalOpenJobs is the fetched unique population from the selected boards, not every opening a company may have. jobsAnalyzed is the bounded sample, ordered by provider and source job ID; it is not a latest-jobs or statistically representative sample. sampleCapped is true when that sample excludes jobs. Term shares use the analyzed sample as the denominator.

Buyer workflows

• Research target accounts from source-linked compliance mentions
• Compare literal compliance-framework mentions on a schedule
• Send evidence-backed company signals into CRMs, warehouses, alerts, and RAG workflows
• Compare companies across Greenhouse, Lever, and Ashby public boards
• Keep absent, unknown, and unsupported signals explicit instead of inventing data

Pricing

Launch price: $18.00 per 1,000 completed company analyses ($0.018 each). One fully fetched, analyzed company with at least one matching mention produces one billable row. A completed company with no matching mentions produces no chargeable row. If any requested source fails, the entire run fails before output and no result rows are billed. Diagnostics and duplicate inputs are not billed. Confirm the live price in the Actor's pricing panel before running.

Reliability and data contract

This HTTP-only Actor uses public board endpoints without account cookies or a proxy. Supply 1-10 companies with 1-3 boards each, 1-25 terms, and a 1-500 job analysis cap. Only Greenhouse, Lever, and Ashby are supported. Full source retrieval is required before analysis, so the analysis cap does not limit download size. Responses are bounded at 24 MB; Lever pagination is bounded at 2,000 jobs per board. Oversized, malformed, incomplete, or inaccessible boards fail closed.

After clicking Run, open the Dataset to inspect company rows and evidenceJobs; use Export for JSON or CSV. Check RUN_SUMMARY in the key-value store to distinguish complete no-match results from source failures. Save a small known-good input as a Task before scheduling broader research. Through Neuton MCP or the Apify API, request the same bounded input and inspect the run status and summary before using the dataset in an AI answer.

Responsible use

Use public hiring evidence for legitimate recruiting, sales research, market analysis, education planning, and investment research. Do not infer protected characteristics, private budgets, layoffs, employee performance, or guaranteed purchase intent. Do not use results for spam or consequential automated decisions. Verify material decisions against the linked source.

SEO keywords

compliance hiring research, SOC 2 job mentions, ISO 27001 hiring data, FedRAMP job descriptions, GRC account research, Greenhouse jobs, Lever jobs, Ashby jobs, public ATS compliance evidence, MCP company research.