Agentery pricing intelligence · Provider profile · Foxnose Knowledge
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Foxnose Knowledge
Managed knowledge for AI agents: hybrid search, auto-embeddings and live schema introspection over your own collections, behind one endpoint. Agents usually f…
Agentery price verdictNo pricing observed
Billing model—
Last checked—pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Managed knowledge for AI agents: hybrid search, auto-embeddings and live schema introspection over your own collections, behind one endpoint. Agents usually fail at the knowledge layer, not the model. The usual setup is a vector database, an embedding pipeline, a sync job and a hand-written MCP server that drifts out of step with all three. FoxNose replaces that with one managed service that speaks REST and MCP over the same data and the same schema. ## Tools | Tool | What it does | | --- | --- | | `discover_resources` | Lists the collections the key can reach, with their schemas | | `describe_resource` | Returns the live JSON Schema for one collection | | `search_records` | Hybrid search: vector similarity, full text and structured filters in one query | | `query_records` | Filtered, sorted, paginated listing | | `get_record` | Fetches a single record | | `create_record` | Creates a record (requires a key with create grants) | | `update_record` | Updates a record (requires a key wi
MCPMCPautonomy: workflow automation
Official Foxnose Knowledge 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 Foxnose Knowledge 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.
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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": "foxnose_knowledge",
"name": "Foxnose Knowledge",
"url": "https://foxnose.net/product/knowledge-mcp",
"logo": "https://agentery.com/logos/CP-J9NHDA-128.png",
"niche": null,
"category": null,
"short_summary": "Managed knowledge for AI agents: hybrid search, auto-embeddings and live schema\nintrospection over your own collections, behind one endpoint.\n\nAgents usually f…",
"task_performed": "Managed knowledge for AI agents: hybrid search, auto-embeddings and live schema\nintrospection over your own collections, behind one endpoint.\n\nAgents usually fail at the knowledge layer, not the model. The usual setup is a\nvector database, an embedding pipeline, a sync job and a hand-written MCP server\nthat drifts out of step with all three. FoxNose replaces that with one managed\nservice that speaks REST and MCP over the same data and the same schema.\n\n## Tools\n\n| Tool | What it does |\n| --- | --- |\n| `discover_resources` | Lists the collections the key can reach, with their schemas |\n| `describe_resource` | Returns the live JSON Schema for one collection |\n| `search_records` | Hybrid search: vector similarity, full text and structured filters in one query |\n| `query_records` | Filtered, sorted, paginated listing |\n| `get_record` | Fetches a single record |\n| `create_record` | Creates a record (requires a key with create grants) |\n| `update_record` | Updates a record (requires a key wi",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "workflow automation",
"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://foxnose.net/product/knowledge-mcp"
],
"last_checked": "2026-09-18",
"how_to_connect": {
"website": "https://foxnose.net/product/knowledge-mcp",
"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 use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}