Agentery pricing intelligence · Provider profile · Vera Health
Provider profile · independently tracked by Agentery
Vera Health
Provides evidence-based clinical decision support by searching peer-reviewed medical literature and delivering concise, cited answers to clinical questions
Agentery price verdictNo pricing observed
Billing model—
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Vera Health
Provides evidence-based clinical decision support by searching peer-reviewed medical literature and delivering concise, cited answers to clinical questions
typed clinical questions/queries → concise practical summaries with in-line citations, evidence grading, diagnosis/treatment/research answers, clinical calculators
autonomy: assistant
Official Vera Health links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Vera Health good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NicheMedical Literature Search
Price benchmarknot applicable
What to compare instead
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 Medical Literature Search
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "vera_health",
"name": "Vera Health",
"url": "https://www.verahealth.ai/",
"logo": "https://agentery.com/logos/CP-E3B5DA-ld256.png",
"niche": "medical-literature-search",
"category": "healthcare-ops",
"short_summary": "Provides evidence-based clinical decision support by searching peer-reviewed medical literature and delivering concise, cited answers to clinical questions",
"task_performed": "Provides evidence-based clinical decision support by searching peer-reviewed medical literature and delivering concise, cited answers to clinical questions",
"inputs_accepted": [
"typed clinical questions/queries"
],
"outputs_produced": [
"concise practical summaries with in-line citations",
"evidence grading",
"diagnosis/treatment/research answers",
"clinical calculators"
],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [
"healthcare"
],
"autonomy_level": "assistant",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or plan details were observed on the homepage.",
"confidence": "medium",
"source_url": "https://www.verahealth.ai/",
"checked_at": "2026-07-26T04:45:02.786Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"HIPAA",
"GDPR",
"SOC 2",
"NIST AI RMF",
"Trust Center",
"ACEP partnership",
"Clinical Council with named MDs from Mayo Clinic, Columbia, Harvard",
"case study",
"multi-benchmark performance evaluation"
],
"evidence_quality": "high",
"entity_type": "tool",
"regulated_data_suitability": "possibly suitable (HIPAA stated, SOC2 stated, GDPR stated, NIST AI RMF stated)",
"evidence_urls": [
"https://www.verahealth.ai/"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://www.verahealth.ai/",
"docs": "https://www.verahealth.ai/api",
"mcp": null,
"a2a": null,
"api": {
"docs_url": "https://www.verahealth.ai/api",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 956,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:39:18.933Z",
"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."
}