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Data Infrastructure for AI Agents

The data layer your AI agents deserve.

One API. Three clouds. Milliseconds.

Your agent describes what it needs — Synlake returns the best option across AWS, Azure, and GCP with Terraform, CLI commands, and cost estimates.

MCP compatible Live on Smithery AWS · Azure · GCP
POST /v1/infrastructure/query — 200 OK · 187ms
{
  "status": "success",
  "recommendation": {
    "provider": "aws",
    "instance": "t3.medium",
    "region": "us-east-1",
    "monthly_cost": 29.95,
    "execution_kit": {
      "terraform_hcl": "resource \"aws_instance\"...",
      "cli_command": "aws ec2 run-instances...",
      "validation": "passed"
    }
  },
  "alternatives": 4,
  "guardrails": "budget_ok | region_ok"
}
Live on MCP Registry Live on Smithery 100 free API calls / month 3 cloud providers normalized
Try it now — no signup required
curl -X POST https://api.synlake.ai/v1/infrastructure/query \
  -H "Content-Type: application/json" \
  -d '{"intent":"compute","service":"compute","requirements":{"vcpus_min":2,"memory_gb_min":4},"constraints":{"budget_monthly_max":100,"providers":["aws"]}}'
The Problem

Cloud infrastructure wasn't
designed for agents.

Today's stack assumes a human at a dashboard. Autonomous agents need machine-ready data — normalized, costed, and executable.

Fragmented data sources

AWS, Azure, and GCP each expose different schemas, pricing models, and APIs. Agents waste cycles on adapters.

No machine-ready standard

Cloud documentation is for humans. Without a normalized JSON contract, every integration is bespoke glue code.

Manual execution loop

Agents can plan but can't safely act. No cost guardrails, no validation — a human stays in the loop.

Platform

One API for every cloud.

Normalize, execute, validate, and audit — all from a single endpoint.

Multi-cloud normalization

Unified JSON schema across AWS, Azure, and GCP. One contract for compute, storage, and databases — always machine-ready, always current.

View schema docs →
{
  "service": "compute",
  "provider": "aws",
  "instance": "t3.medium",
  "specs": {
    "vcpus": 2,
    "memory_gb": 4,
    "network": "moderate"
  },
  "price_per_hour": 0.0416,
  "regions": ["us-east-1", "eu-west-1"]
}

Automatic execution kits

Terraform HCL, CLI commands, and API calls — generated and validated on demand. Ready to run, no glue code.

Quickstart guide →
# Terraform HCL — auto-generated
resource "aws_instance" "synlake_agent" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "t3.medium"
  tags = {
    Name = "agent-42-compute"
  }
}

# CLI command — ready to paste
# aws ec2 run-instances \
#   --image-id ami-0c55b159cbfafe1f0 \
#   --instance-type t3.medium

Financial guardrails

Budget caps, region policies, and cost simulation enforced before execution. Every query validates constraints automatically — no surprise bills.

Validation API →
{
  "validation": "passed",
  "checks": {
    "budget": "$29.95 < $100 limit ✔",
    "region": "us-east-1 allowed ✔",
    "security": "no public access ✔",
    "encryption": "EBS encrypted ✔"
  },
  "spending_cap": {
    "monthly_limit": 100,
    "used": 29.95,
    "remaining": 70.05
  }
}

Full audit trail

Every query logged with request, response, cost, and timestamp. Complete accountability for compliance and cost tracking.

Usage API →
{
  "log_id": "req_8f2a4b6c",
  "timestamp": "2026-06-01T14:23:07Z",
  "agent": "agent-42",
  "endpoint": "/v1/infrastructure/query",
  "provider": "aws",
  "cost_estimate": 29.95,
  "response_ms": 187,
  "status": "success",
  "guardrails": "all_passed"
}
How it works

Intent to infrastructure
in five steps.

1

Agent requests

"I need Postgres in AWS, under $50/mo"

2

Synlake discovers

Normalizes options across every cloud, ranks by cost

3

Generates kit

Terraform + CLI + cost estimate as one JSON payload

4

Validates

Budget, region, compliance, and security checks

5

Ready to deploy

Execution kit returned to the agent, ready to run

Who it's for

Built for teams building
with AI agents.

AI agent developers

Your agent needs to provision infra on the fly. Synlake gives it a single API to query, compare, and get deploy-ready code across any cloud.

DevOps teams

Automate infrastructure decisions for your agent platform. Normalized data, cost guardrails, and audit trails out of the box.

Platforms & SaaS

Embed cloud provisioning into your product. Your users or agents get multi-cloud infrastructure without you building the abstraction layer.

Live Demo

See it in action.

This hits the real Synlake API. Configure your requirements and get a full execution payload back.

Terraform · CLI · cost estimate · policy validations
Compare

Why Synlake.

You could wire up each cloud yourself. Here's why teams choose Synlake.

ApproachMulti-cloudAgent-ready JSONExecution kitCost guardrailsAudit trail
DIY TerraformManualNoYou write itNoNo
Pulumi / CrossplaneYesNoPartialNoPartial
Cloud provider SDKsSinglePartialNoNoPartial
Agent frameworksVia toolsPartialNoNoNo
Synlake3 clouds100%Full kitBuilt-inEvery call
3
Cloud providers
~200ms
Avg response time
100%
Deterministic
5
Regions live
66
Instance types
Get Started

Start building in 30 seconds.

100 free API calls every month. No credit card required.

Free Tier
$0
100 calls / month
Cost estimates
Multi-cloud comparison
Terraform HCL + CLI
No credit card required
Spending caps — set a monthly limit per agent. Synlake blocks requests when the cap is reached. Zero surprise bills.
Ready to build?

Ship infrastructure
at the speed of agents.

Join the teams using Synlake to normalize, execute, and audit cloud infrastructure — all via API.