
Control Plane
Deploy and operate workloads, secrets, and networking across AWS, GCP, Azure, and private clouds.
What it does
The specific capability behind this listing, and where to get it.
Control Plane
Deploy and operate workloads, secrets, and networking across AWS, GCP, Azure, and private clouds.
Official Control Plane links
Pricing & plans
Observed public pricing for Control Plane, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.01 /mb
This plan sits close to the market.
$0.01 is positioned against a $0–$0 observed middle market.
Why Agentery reaches that view
price_benchmark0% above the median.
get_agent_profile · plan historyper mb observed 2026-07-28.
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 Control Plane 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 56% below the observed median.
Compared with Infrastructure Provisioning IAC
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 Infrastructure Provisioning IAC
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": "control_plane",
"name": "Control Plane",
"url": "https://controlplane.com",
"logo": "https://agentery.com/logos/CP-YXAMPD.png",
"niche": "infrastructure-provisioning-iac",
"category": "developer-tools-infra",
"short_summary": "Deploy and operate workloads, secrets, and networking across AWS, GCP, Azure, and private clouds.",
"task_performed": "Deploy and operate workloads, secrets, and networking across AWS, GCP, Azure, and private clouds.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP",
"AWS",
"Azure"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "usage",
"currency": "USD",
"lowest_monthly_usd": 5,
"monthly_usd": 5,
"headline": "From $5/mo",
"summary": "From $5/mo. Control Plane uses usage-based pricing for compute, memory, storage, observability, egress, and dedicated load balancing, with a typical workload stated to cost less than $5 per month per location.",
"confidence": "high",
"source_url": "https://controlplane.com/pricing",
"checked_at": "2026-07-28T04:19:50.120Z",
"amount": null,
"display": null,
"plans": [
{
"name": "CPU",
"price": "$0.06205654 per millicore-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Capacity AI-optimized vCPU allocation"
],
"price_annual": null
},
{
"name": "RAM",
"price": "$0.00706330 per megabyte-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Capacity AI-optimized memory allocation"
],
"price_annual": null
},
{
"name": "General Purpose SSD",
"price": "$0.21224989 per GB-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Persistent storage"
],
"price_annual": null
},
{
"name": "High Throughput SSD",
"price": "$0.34099982 per GB-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Persistent storage"
],
"price_annual": null
},
{
"name": "Shared Storage",
"price": "$0.35 per GB-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Additional CPU and memory charges apply per mount point"
],
"price_annual": null
},
{
"name": "Snapshots",
"price": "$5 per snapshot-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Snapshot storage"
],
"price_annual": null
},
{
"name": "Logging Storage",
"price": "$0.15 per GB-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"First 100 GB-months are free"
],
"price_annual": null
},
{
"name": "Tracing Storage",
"price": "$0.15 per GB-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"First 100 GB-months are free"
],
"price_annual": null
},
{
"name": "Metrics Storage",
"price": "$0.15 per GB-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"First 100 GB-months are free"
],
"price_annual": null
},
{
"name": "Metrics Collection",
"price": "$0.5 per 10M samples-month",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"First 50M samples are free"
],
"price_annual": null
},
{
"name": "Egress",
"price": "$0.12 per GB",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Internet egress traffic"
],
"price_annual": null
},
{
"name": "Dedicated Load Balancers",
"price": "$60 per load balancer-month",
"usage": true,
"period": "usage",
"persona": "enterprise",
"highlights": [
"Dedicated load balancer per GVC"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://controlplane.com"
],
"last_checked": "2026-06-30",
"how_to_connect": {
"website": "https://controlplane.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": 945,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:32:41.423Z",
"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."
}