Agentery pricing intelligence · Provider profile · Sample Agentic AI Demos
Provider profile · independently tracked by Agentery
Sample Agentic AI Demos
Open-source examples for building agentic AI applications with Amazon Bedrock and Model Context Protocol, including MCP clients and servers using Python, TypeS…
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model—
Last observation—pricing pages rechecked daily
Website liveness16 Oct 2026alive · separate from pricing
What it does
The specific capability behind this listing, and where to get it.
Sample Agentic AI Demos
Open-source examples for building agentic AI applications with Amazon Bedrock and Model Context Protocol, including MCP clients and servers using Python, TypeS…
Agentery has not yet captured structured capability detail for this provider.
Official Sample Agentic AI Demos links
Price status · observed daily
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Sample Agentic AI Demos good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository
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.
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.
Sample Agentic AI Demos'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": "sample_agentic_ai_demos",
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"niche": null,
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"short_summary": "Open-source examples for building agentic AI applications with Amazon Bedrock and Model Context Protocol, including MCP clients and servers using Python, TypeS…",
"task_performed": "unclear",
"inputs_accepted": [],
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"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing was found; this repository presents open-source AWS agentic AI examples rather than a priced SaaS offering.",
"confidence": "medium",
"source_url": "https://github.com/Mitsotakis21/sample-agentic-ai-demos",
"checked_at": "2026-10-16T02:47:06.021Z",
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"display": null,
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"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
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"evidence_urls": [
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"how_to_connect": {
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"docs": null,
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},
"deployment": {
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"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
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"endpoint_kind": "site",
"latency_ms": 904,
"uptime_7d": null,
"checked_at": "2026-10-16T02:42:58.734Z",
"consecutive_failures": 0,
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},
"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."
}