Comparison
HireSquire vs Building Your Own
You could build a resume screening pipeline from scratch. Or you could use one that's already production-ready, agent-tested, and costs a fraction of a cent per candidate.
Side-by-Side Comparison
What it really takes to screen resumes with AI — the honest breakdown.
| Criteria |
HireSquire API
Production-Ready
|
Manual LLM Prompt
DIY Approach
|
Traditional ATS
Legacy Software
|
|---|---|---|---|
| Time to First Screening | 5 minutes | 30+ minutes | Days – weeks |
| Cost per Candidate | ~$0.01 | ~$0.30–$0.50 (GPT-4) | $200+/mo flat fee |
| Scoring Accuracy | Specialized Model | Variable (prompt-dependent) | Keyword matching only |
| Agent-Ready API | |||
| MCP Server | |||
| Idempotent Billing | N/A | ||
| Interview Scheduling | |||
| Email Generation | Manual prompt | Templates only | |
| Batch Processing (100+) | Context window limits | ||
| Spend Limits for Agents |
Try It in 5 Minutes
No contracts. No minimum spend. Install the CLI, submit your first screening, and see scored results.
# Install
npm install -g hiresquire-cli
# Authenticate
hiresquire init --token YOUR_API_TOKEN
# Screen resumes
hiresquire screen \
--title "Senior Developer" \
--description "Your job description..." \
--resumes ./resumes/ \
--watch --json