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Togal.AI website screenshot

Togal.AI

Togal.AI is a Miami, Florida construction-technology company building AI-powered takeoff and estimating software for the architecture, engineering, and construction (AEC) industry. Founded by former U.S. Congressman Patrick Murphy out of his family's multi-generational construction business, the cloud-based platform applies computer-vision and deep-learning models to architectural drawings and blueprints to automatically detect, measure, count, label, and compare project spaces and features — reporting up to 98% accuracy against AIA measurement standards and reducing manual estimating effort by roughly 80%. Signature capabilities include the Togal Button (one-click automated takeoff), AI-powered image, text, and pattern search across plan sets, drawing-set comparison for change quantification, real- time multi-user cloud collaboration, and Togal.CHAT, a natural-language assistant that lets estimators query plans, verify quantities, identify errors, and draft RFPs. The product serves drywall, electrical, mechanical, plumbing, glazing, landscaping, painting, FF&E, and general-contracting trades, with documented case studies (e.g., Coastal Construction) showing multi-hour-per-plan-set savings and seven-figure annual ROI. Togal.AI's revenue model is SaaS subscriptions sold to estimators, subcontractors, and general contractors; there is no public developer API, SDK, or open-source release, and the only known third-party integration is Service Titan plus data export to Excel and downstream estimating tools.

human only

Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.

Kin Score

API Evangelist profiles Togal.AI the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Togal.AI scores 13.5/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 13.5/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.7 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Togal.AI

Each block below is one kind of artifact we hold for Togal.AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Togal Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Togal.AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 2

Portal, sign-up, and the first successful call

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 4

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Other 2

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/togal-ai · machine-readable index on apis.io