
Multiagent Contract Management
builds a multi-agent system that negotiates a contractual agreement between two companies, producing a negotiation email in favor of the client
What it does
The specific capability behind this listing, and where to get it.
Multiagent Contract Management
builds a multi-agent system that negotiates a contractual agreement between two companies, producing a negotiation email in favor of the client
Official Multiagent Contract Management links
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Multiagent Contract Management good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
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 Contract Negotiation Agent
Alternatives in the same niche, with observed price and liveness where available.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "multiagent_contract_management",
"name": "Multiagent Contract Management",
"url": "https://ibm.com/think/tutorials/build-multi-agent-contract-management-system-beeai-framework",
"logo": "https://agentery.com/logos/CP-F733RC-ld256.png",
"niche": "contract-negotiation-agent",
"category": "legal",
"short_summary": "builds a multi-agent system that negotiates a contractual agreement between two companies, producing a negotiation email in favor of the client",
"task_performed": "builds a multi-agent system that negotiates a contractual agreement between two companies, producing a negotiation email in favor of the client",
"inputs_accepted": [
"user prompts (client/contractor company names)",
"budget report CSV file",
"contract.txt file",
"service industry",
"market trends via web search"
],
"outputs_produced": [
"an email to negotiate the terms of the contract in favor of the client"
],
"integrations_available": [
"BeeAI Framework",
"IBM Granite",
"Ollama",
"LangChain",
"DuckDuckGo",
"Agent Communication Protocol (ACP)",
"Model Context Protocol (MCP)",
"Arize Phoenix",
"GitHub"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business (procurement/contract management)"
],
"autonomy_level": "workflow automation",
"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 SaaS pricing is shown in the supplied IBM BeeAI tutorial content.",
"confidence": "medium",
"source_url": "https://ibm.com/think/tutorials/build-multi-agent-contract-management-system-beeai-framework",
"checked_at": "2026-07-26T07:00:38.886Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"IBM Research",
"Linux Foundation donation",
"GitHub repository"
],
"evidence_quality": "high",
"entity_type": "tool",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://ibm.com/think/tutorials/build-multi-agent-contract-management-system-beeai-framework",
"https://www.ibm.com/think/tutorials/build-multi-agent-contract-management-system-beeai-framework"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://ibm.com/think/tutorials/build-multi-agent-contract-management-system-beeai-framework",
"docs": "https://www.ibm.com/docs",
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1837,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:36:13.326Z",
"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."
}