Job data के साथ employment और earnings cases के लिए evidence को और बेहतर बनाएंनया
Employment lawyers को उन jobs का proof दें जो किसी role के लिए open थीं और उन्होंने कितना pay किया, ताकि lost pay, discriminatory hiring या lost earning capacity के दावों को support किया जा सके।
यह किसके लिए है: एक legal-tech company, litigation analytics product या vocational expert service, जिसके ग्राहक employment, injury या family cases में lawyers हैं।
Walmart ने Columbus में Warehouse Supervisor role पोस्ट की · 2 दिन पहले
Amazon ने Dayton में Warehouse Supervisor role पोस्ट की · 5 दिन पहले
Hyundai ने Alabama में Warehouse Supervisor role बंद की · 1 दिन पहले
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
जानें कैसे
- डॉक्स
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.
- डॉक्स
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.
- डॉक्स
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
Job data के साथ employment और earnings cases के लिए evidence को और बेहतर बनाएं: AI assistants, automations और CRMs के साथ integrations
TheirStack उन AI assistants, automation tools और CRMs के साथ काम करता है जिनका आप पहले से उपयोग करते हैं: MCP server के ज़रिए Claude या ChatGPT से पूछें, नए matches को webhook के माध्यम से Clay, n8n, Make या Zapier पर भेजें, और Salesforce या HubSpot में leads बनाएं।
AI assistants
Claude, ChatGPT, Cursor या किसी भी MCP client से कहें कि वह TheirStack MCP server के ज़रिए jobs, companies और tech stacks खोजे।
MCP server
https://api.theirstack.com/mcpAutomations
TheirStack हर नए matching company को मिलते ही webhook के ज़रिए आपकी automation platform पर भेजता है, या उसके माध्यम से आपके CRM और sales tools में पहुंचाता है।
CRMs and sales tools
इस उपयोग के मामले को अपने कोड से चलाएँ
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 }'
प्रमाण के साथ दिखाएँ कि job market ने क्या पेश किया।
सालों की job postings से employment और earnings cases के लिए evidence बनाएं।
मुफ्त में शुरू करें: 200+ मुफ्त क्रेडिट।
Hermes
OpenClaw
Clay
n8n
Make
Zapier
Databar
Salesforce
HubSpot
Attio
Pipedrive
Apollo
Instantly
ContactOut