Agentery pricing intelligence · Provider profile · Patricia App
Provider profile · independently tracked by Agentery
Patricia App
Patricia connects your AI client to one Patricia workspace. Read workspace memory and files, inspect connected integrations, and delegate work to Patricia with…
Agentery price verdictNo pricing observed
Billing model—
Last observation—pricing pages rechecked daily
What it does
The specific capability behind this listing, and where to get it.
Patricia connects your AI client to one Patricia workspace. Read workspace memory and files, inspect connected integrations, and delegate work to Patricia with human approval controls.
MCPMCPautonomy: infrastructure
Official Patricia App 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 Patricia App 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
Niche—
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.
Patricia App's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "patricia_app",
"name": "Patricia App",
"url": "https://www.patricia.app",
"logo": "https://agentery.com/logos/CP-VCDCJP.svg",
"niche": null,
"category": null,
"short_summary": "Patricia connects your AI client to one Patricia workspace. Read workspace memory and files, inspect connected integrations, and delegate work to Patricia with…",
"task_performed": "Patricia connects your AI client to one Patricia workspace. Read workspace memory and files, inspect connected integrations, and delegate work to Patricia with human approval controls.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://www.patricia.app"
],
"last_checked": "2026-09-28",
"how_to_connect": {
"website": "https://www.patricia.app",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}