Power evidence for employment and earnings cases with job dataNew
Give employment lawyers proof of the jobs open for a role and what they paid, to support claims for lost pay, discriminatory hiring or lost earning capacity.
Who it's for: A legal-tech company, litigation analytics product or vocational expert service whose customers are lawyers in employment, injury or family cases.
Walmart posted a Warehouse Supervisor role in Columbus · 2d ago
Amazon posted a Warehouse Supervisor role in Dayton · 5d ago
Hyundai closed a Warehouse Supervisor role in Alabama · 1d ago
How evidence for employment and earnings cases works
TheirStack gives legal analytics products job postings back to 2021, with their pay, wording and dates, so a report can show which jobs were open for a role during the period a case covers.
Role
Search the role in the case
TheirStack searches its job history by title, seniority and place, over the period the case covers.
- Postings back to 2021
- Filter by title and seniority
- Filter by place and period
Compare
Read the pay, wording and dates of each job
TheirStack gives each posting its pay when stated, its full description and its dates, so your product compares the jobs with the role or reads the wording a claim is about.
- Pay when the posting states it
- Full description of every job
- City and region of every job
Comparable jobs posted per month
- Apr 202438
- Jun 202442
- Aug 202435
- Oct 202447
- Dec 202429
Evidence
Cite every posting in the report
TheirStack records where each job was found, when it was discovered and, in its closed jobs dataset, when it went offline, so every posting in the report can be checked.
- Job Closed Dataset
- How jobs are collected
- The employer's own posting URL
Evidence in the report
Learn how
- Docs
Datasets
Access complete jobs, closed jobs, technographics, and company datasets — delivered as Parquet or CSV, with historical coverage and daily or hourly updates via S3.
- Docs
Job Closed Dataset
Expired job postings dataset — same schema as the Jobs dataset with closed_at always populated, partitioned by the day each posting went offline. Use it for historical close-date analysis, CRM enrichment, or warehouse pipelines.
- Docs
Data workflow
Learn how we transform raw job postings into high-quality, normalized data through our 6-step workflow covering crawling, cleaning, extraction, deduplication, enrichment, and quality control
Power evidence for employment and earnings cases with job data: integrations with AI assistants, automations and CRMs
TheirStack works with the AI assistants, automation tools and CRMs you already use: ask Claude or ChatGPT through the MCP server, send new matches to Clay, n8n, Make or Zapier by webhook, and create leads in Salesforce or HubSpot.
AI assistants
Ask Claude, ChatGPT, Cursor or any MCP client to search jobs, companies and tech stacks through the TheirStack MCP server.
MCP server
https://api.theirstack.com/mcpAutomations
TheirStack sends every new matching company by webhook as soon as it finds it, to your automation platform or through it into your CRM and sales tools.
CRMs and sales tools
Run this use case from your own code
curl -X POST https://api.theirstack.com/v1/jobs/search \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "job_title_or": ["Warehouse Supervisor"], "job_country_code_or": ["US"], "posted_at_max_age_days": 730 }'
Show what the job market offered, with proof.
Build evidence for employment and earnings cases from years of job postings.
Start free: 200+ free credits.
Hermes
OpenClaw
Clay
n8n
Make
Zapier
Databar
Salesforce
HubSpot
Attio
Pipedrive
Apollo
Instantly
ContactOut