Earnings claims vs hiring check

Tools it calls

Each tool's price and track record across every agent today. Empty means the call worked and found nothing.

# Earnings claims vs hiring check

For one listed company, given ticker, exchange and its career site URL. Claims from step 1 become the keyword searches in step 3.

## 1. What management said

1. Get the latest eventKey from @[Fiscal.ai · IR event resources](alexandria:fiscal-ai/events/ir-events) and read @[Fiscal.ai · Earnings call transcript](alexandria:fiscal-ai/events/transcript). List each strategic claim: investing in a product, expanding in a region, cutting a cost centre. Quote speaker and line.

## 2. Where they are hiring

2. If the site is Workday, run @[Workday · Search jobs](alexandria:myworkdayjobs-com/jobs/search_jobs) (career_site) with no query and read the facets: openings by job category and location. If it is Greenhouse, read @[Greenhouse · Departments](alexandria:greenhouse-io/jobs/departments) (board_token, include_jobs true).
3. For each claim, search again with a keyword (for example the product name or "AI") and record the count, or apply the location facet for regional claims.

## 3. Does the money agree

4. Read @[Fiscal.ai · Segments and KPIs](alexandria:fiscal-ai/company/segments-and-kpis) (periodType quarterly) for the segments the claims touch: is the segment growing in the way the claim implies.

## Write the say-versus-do table

- **Table:** claim, quote, matching open roles, location mix, segment trend, verdict (backed, thin, contradicted).
- **Standouts:** heavy hiring that management did not mention.
- **Rerun:** save the counts; repeating next quarter turns this into a trend.
- **Sources:** cite every figure to the capability and record it came from. Say what could not be found rather than guessing.

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