
Buildinc Multiagent Architectu
automates commercial real estate development workflows, specifically land diligence research for data center and energy infrastructure projects
What it does
The specific capability behind this listing, and where to get it.
Buildinc Multiagent Architectu
automates commercial real estate development workflows, specifically land diligence research for data center and energy infrastructure projects
Official Buildinc Multiagent Architectu links
Pricing & plans
Observed public pricing for Buildinc Multiagent Architectu, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$39 /mo
The current price is deliberately competitive.
$39 sits inside the observed Pro flat range ($39–$72) — around the 25th percentile of observed prices — squarely at market.
Why Agentery reaches that view
price_benchmark27.4% below the Pro flat median.
get_agent_profile · plan historyCloud (Kitaru) observed 2026-09-02.
pricing recommendation~25th percentile of comparable Pro flat plans.
confidencemedium; source page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Buildinc Multiagent Architectu good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 46% below the observed median.
Compared with AI Real Estate Agent
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Buildinc Multiagent Architectu's local market
Nearest products by what they do. Local median $19/mo — Buildinc Multiagent Architectu is 105% above it.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "buildinc_multiagent_architectu",
"name": "Buildinc Multiagent Architectu",
"url": "https://zenml.io/llmops-database/multi-agent-architecture-for-automating-commercial-real-estate-development-workflows",
"logo": "https://agentery.com/logos/CP-J9SG5G-256.png",
"niche": "ai-real-estate-agent",
"category": "real-estate",
"short_summary": "automates commercial real estate development workflows, specifically land diligence research for data center and energy infrastructure projects",
"task_performed": "automates commercial real estate development workflows, specifically land diligence research for data center and energy infrastructure projects",
"inputs_accepted": [
"land/property data from 30,000+ US jurisdictions",
"regulatory data sources",
"proprietary datasets",
"JSON configuration files"
],
"outputs_produced": [
"land diligence analysis and risk evaluation reports"
],
"integrations_available": [
"LangGraph",
"LangChain",
"FastAPI",
"OpenAI"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"commercial real estate development"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "freemium",
"currency": "USD",
"lowest_monthly_usd": 39,
"monthly_usd": 39,
"headline": "Free tier, then from $39/mo",
"summary": "Free tier, then from $39/mo. ZenML offers free open-source editions, a $39/month cloud plan for Kitaru, a $999/month Scale plan for ZenML, and custom-priced enterprise tiers.",
"confidence": "high",
"source_url": "https://www.zenml.io/pricing",
"checked_at": "2026-09-02T04:21:36.634Z",
"amount": 39,
"display": "From $39/mo",
"plans": [
{
"name": "Open Source (Kitaru)",
"price": "Free",
"period": null,
"persona": "other",
"highlights": [
"Unlimited replays",
"Unlimited agents",
"Self-hosted infrastructure",
"Community support"
],
"price_annual": null
},
{
"name": "Cloud (Kitaru)",
"price": "$39/month",
"period": "month",
"persona": "pro",
"highlights": [
"3 agents",
"2 seats",
"90-day session retention",
"Hosted dashboard and control plane"
],
"price_annual": null
},
{
"name": "Enterprise (Kitaru)",
"price": "Custom",
"period": null,
"persona": "enterprise",
"highlights": [
"Unlimited agents",
"Custom seats and retention",
"SSO",
"Audit logs"
],
"price_annual": null
},
{
"name": "Open Source (ZenML)",
"price": "Free",
"period": null,
"persona": "other",
"highlights": [
"Unlimited executions",
"Unlimited projects",
"Pipeline and flow orchestration",
"Community support"
],
"price_annual": null
},
{
"name": "Scale (ZenML)",
"price": "$999/month",
"period": "month",
"persona": "team_sme",
"highlights": [
"Up to 5,000 monthly executions per workspace",
"3 projects",
"5 snapshots",
"Model and artifact control planes"
],
"price_annual": null
},
{
"name": "Enterprise (ZenML)",
"price": "Custom",
"period": null,
"persona": "enterprise",
"highlights": [
"Unlimited executions",
"Unlimited projects",
"SSO",
"Air-gapped deployment"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [
"case study",
"GitHub stars (5,449)"
],
"evidence_quality": "medium",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://zenml.io/llmops-database/multi-agent-architecture-for-automating-commercial-real-estate-development-workflows",
"https://www.zenml.io/llmops-database/multi-agent-architecture-for-automating-commercial-real-estate-development-workflows"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://zenml.io/llmops-database/multi-agent-architecture-for-automating-commercial-real-estate-development-workflows",
"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": 205,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:32:09.875Z",
"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."
}