
mcp-server
assesses falling tree risk for US properties
What it does
The specific capability behind this listing, and where to get it.
mcp-server
assesses falling tree risk for US properties
Official mcp-server links
Pricing & plans
Observed public pricing for mcp-server, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$2 /property
This plan sits close to the market.
$2 is positioned against a $1–$4 observed middle market.
Why Agentery reaches that view
price_benchmark0% above the median.
get_agent_profile · plan historyPay-as-you-Go observed 2026-07-25.
pricing recommendationPercentile unavailable for this basis.
confidenceSource 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 mcp-server good value?
How its price compares with genuinely comparable providers.
Priced near the market for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.
Compared with AI Insurance Risk Cover
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 →Comparable AI Insurance Risk Cover
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": "fallingtreerisk_mcp_server",
"name": "mcp-server",
"url": "https://fallingtreerisk.com",
"logo": "https://agentery.com/logos/CP-MHH4PQ-256.png",
"niche": "ai-insurance-risk-cover",
"category": "financial-services",
"short_summary": "assesses falling tree risk for US properties",
"task_performed": "assesses falling tree risk for US properties",
"inputs_accepted": [
"property data via API calls"
],
"outputs_produced": [
"risk level",
"annual probability range",
"storm history",
"canopy density",
"tree health trend",
"roofline canopy overhang",
"and soil uprooting risk"
],
"integrations_available": [
"API"
],
"protocols_or_interfaces": [
"MCP",
"API"
],
"industry_fit": [
"insurance"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "freemium",
"price": {
"observed": true,
"billing": "freemium",
"currency": "USD",
"lowest_monthly_usd": 2,
"monthly_usd": 2,
"headline": "Free tier, then from $2/mo",
"summary": "Free tier, then from $2/mo. The site offers free property lookups and shows paid offers of 2.00 USD and 100.00 USD, but does not state the billing periods or plan names.",
"confidence": "medium",
"source_url": "https://fallingtreerisk.com/subscription",
"checked_at": "2026-07-28T04:35:53.274Z",
"amount": 2,
"display": "From $2/mo",
"plans": [
{
"name": "Free property lookups",
"price": "Free",
"period": null,
"persona": "free",
"highlights": [
"Free property lookups are offered"
],
"price_annual": null
},
{
"name": "Paid offer",
"price": "2.00USD",
"period": null,
"persona": "individual",
"highlights": [],
"price_annual": null
},
{
"name": "Paid offer",
"price": "100.00USD",
"period": null,
"persona": "team_sme",
"highlights": [],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "low",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://fallingtreerisk.com"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://fallingtreerisk.com",
"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": 919,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:33:36.660Z",
"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."
}