Agentery pricing intelligence · Agent profile · Buildinc Multiagent Architectu
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Buildinc Multiagent Architectu

zenml.io/llmops-database/multi-agent-architecture-for-automating-commercial-real-estate-development-workflows official website

automates commercial real estate development workflows, specifically land diligence research for data center and energy infrastructure projects

agentPricing checked daily
Agentery value verdictBelow the niche medianfrom $39/mo
Observed entry price$39/molowest observed monthly
Billing modelunclear
Last checked2 Sept 2026pricing & liveness

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

land/property data from 30,000+ US jurisdictions, regulatory data sources, proprietary datasets, JSON configuration files → land diligence analysis and risk evaluation reports
LangGraphLangChainFastAPIOpenAIMCPautonomy: agentic

Official Buildinc Multiagent Architectu links

Pricing & plans

Observed public pricing for Buildinc Multiagent Architectu, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Cloud (Kitaru) · market position

$39 /mo

27.4% below the Pro flat median (5 providers, USD). Cheaper than 6 of 9 comparable Pro providers.
this agent · $39
$39median $53.75$72
observed 2026-09-02 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$39
$39$72
$53.75

$39 sits inside the observed Pro flat range ($39–$72) — around the 25th percentile of observed prices — squarely at market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

27.4% below the Pro flat median.

get_agent_profile · plan history

Cloud (Kitaru) observed 2026-09-02.

pricing recommendation

~25th percentile of comparable Pro flat plans.

confidence

medium; source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$39 / month
$39 lowestmedian $53.75$161 highest
Competitive value position. At $39/month, this plan is 27.4% below the niche median.
1st
-27.4%
$39$72

Is Buildinc Multiagent Architectu good value?

How its price compares with genuinely comparable providers.

Below the niche median

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.

Observed commercial price$39/mo
Position among agent-economy servicesMid-priced among Agent-economy services · 8 priced · moderate
NicheAI Real Estate Agent
Price benchmarkapplicable
How it compares

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 full market →
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": [
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  ],
  "integrations_available": [
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  "price": {
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    "confidence": "high",
    "source_url": "https://www.zenml.io/pricing",
    "checked_at": "2026-09-02T04:21:36.634Z",
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    "plans": [
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      {
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      {
        "name": "Enterprise (ZenML)",
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        "period": null,
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    ],
    "source": "render+llm"
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  "trust_or_rating_signal": [
    "case study",
    "GitHub stars (5,449)"
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  "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": {
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    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
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    ],
    "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,
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    "consecutive_failures": 0,
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  "price_extras": {
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  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}