Agentery pricing intelligence · Provider profile · Agentscope A2a
Provider profile · independently tracked by Agentery
Agentscope A2a
enables communication and collaboration between AI agents via the A2A (Agent-to-Agent) protocol, allowing remote agents to be connected and invoked
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.
Agentscope A2a
enables communication and collaboration between AI agents via the A2A (Agent-to-Agent) protocol, allowing remote agents to be connected and invoked
AgentScope Msg messages, text/plain, and multiple content types such as text, images, audio, and video, Agent Cards from local JSON files, remote well-known URLs → A2A protocol Message and Task responses converted back to AgentScope Msg format
A2ANacos Agent RegistryMCPMCPA2Aautonomy: infrastructure
Official Agentscope A2a 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 Agentscope A2a 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
NicheAgent Network Protocol
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": "agentscope_a2a",
"name": "Agentscope A2a",
"url": "https://doc.agentscope.io/tutorial/task_a2a.html",
"logo": "https://agentery.com/logos/CP-HJA3HW.svg",
"niche": "agent-network-protocol",
"category": "developer-tools-infra",
"short_summary": "enables communication and collaboration between AI agents via the A2A (Agent-to-Agent) protocol, allowing remote agents to be connected and invoked",
"task_performed": "enables communication and collaboration between AI agents via the A2A (Agent-to-Agent) protocol, allowing remote agents to be connected and invoked",
"inputs_accepted": [
"AgentScope Msg messages",
"text/plain",
"and multiple content types such as text",
"images",
"audio",
"and video",
"Agent Cards from local JSON files",
"remote well-known URLs",
"or Nacos registry"
],
"outputs_produced": [
"A2A protocol Message and Task responses converted back to AgentScope Msg format"
],
"integrations_available": [
"A2A",
"Nacos Agent Registry",
"MCP"
],
"protocols_or_interfaces": [
"MCP",
"A2A"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "unknown",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "low",
"source_url": "https://doc.agentscope.io/tutorial/task_plan.html",
"checked_at": "2026-07-26T10:55:07.435Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Copyright Alibaba"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://doc.agentscope.io/tutorial/task_a2a.html"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://doc.agentscope.io/tutorial/task_a2a.html",
"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": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 248,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:30:37.802Z",
"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."
}