Autoapply
Local-first job application AI agent for discovery, fit scoring, tailored materials generation, form filling, and human-gated submission with full application…
What it does
The specific capability behind this listing, and where to get it.
Autoapply
Local-first job application AI agent for discovery, fit scoring, tailored materials generation, form filling, and human-gated submission with full application…
Agentery has not yet captured structured capability detail for this provider.
Official Autoapply links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Autoapply good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Job Search Agent
Alternatives in the same niche, with observed price and liveness where available.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "autoapply",
"name": "Autoapply",
"url": "https://github.com/Liam-Frost/AutoApply",
"logo": "https://github.com/Liam-Frost.png?size=200",
"niche": "job-search-agent",
"category": "services",
"short_summary": "Local-first job application AI agent for discovery, fit scoring, tailored materials generation, form filling, and human-gated submission with full application…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "free",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-28T05:31:41.449Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Personal, academic, and nonprofit use",
"price": "Free",
"period": null,
"persona": "individual",
"highlights": [
"Commercial use requires a separate license"
]
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/Liam-Frost/AutoApply"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/Liam-Frost/AutoApply",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 693,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:31:24.888Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}