The Tygart Media Knowledge API: Restoration Industry Intelligence for AI Systems

There is a gap between what restoration industry practitioners actually know and what AI systems can access. That gap is costing vertical AI products accuracy, trust, and market fit. The Tygart Media Knowledge API is how you close it.

What This Is

The Tygart Media Knowledge API is a pre-ingestion industry knowledge network for the restoration and property damage industry. We extract tacit expertise from experienced practitioners — contractors, adjusters, drying scientists, operations veterans — structure it into machine-readable knowledge chunks, and deliver it via API.

You consume our knowledge feed before your model generates output. We are a data source, the same category as a database query or document corpus. What your AI does with that data is your system’s responsibility. We are responsible for the quality, accuracy, and freshness of the knowledge itself.

We are not an AI company. We are a knowledge company.

Who This Is For

• Vertical AI builders — You’re building a restoration industry copilot, chatbot, or workflow tool. Your model answers correctly on general questions but fails on field-specific knowledge. Our corpus fills that gap.
• Enterprise software teams — You’re adding AI features to restoration or property management software and need domain accuracy your team can’t build internally.
• Developers and startups — You’re building something in this space and need a production-ready knowledge layer without managing your own expert extraction infrastructure.

The Corpus (v1.0-beta)

The current corpus covers the restoration industry across six topic areas:

• Mold Remediation — IICRC S520 standards, containment protocols, class determination, moisture-mold relationship
• Water Damage — Category and class classification, the 72-hour rule, emergency response protocols
• Drying Science — Psychrometrics, moisture content targets, LGR vs. conventional dehumidification, equipment selection
• Insurance & Claims — Xactimate standards, TPA economics, moisture documentation for scope defense
• Fire & Smoke — Smoke migration, pressure differentials, protein smoke identification and treatment
• Field Operations — First-response protocol, contents pack-out, documentation standards

The corpus grows weekly through structured extraction sessions with industry practitioners. Every chunk is source-validated, timestamped, and tagged with confidence metadata.

API Quick Start

Every query returns structured knowledge chunks formatted for your use case:

# Standard query
GET /query?q=mold+containment+protocol

# RAG-ready format (inject directly into system prompt)
GET /query?q=mold+containment+protocol&format=rag

# Filter by topic area
GET /query?q=drying+equipment&sub_vertical=drying_science&n=5

RAG injection pattern: Call /query?format=rag before your LLM call. Prepend the returned rag_context to your system prompt. Your model now answers with field-validated restoration knowledge it couldn’t have had otherwise.

Pricing

Why Pre-Ingestion Matters

Most AI knowledge products make a critical mistake: they position themselves as output modifiers — something that improves what AI generates after the fact. That puts them in the output chain. If the AI produces something wrong, they’re part of that chain.

We position differently. Our knowledge feed is consumed by your AI system as raw input — before your model generates any output. Your system’s filters, guardrails, and model tuning handle our data the same way they handle a web search result or a database query. What comes out of your system is your system’s output, not ours.

We’re the tap water. Your stack is the Brita. What comes out of the spigot is on you — which is how every serious B2B data vendor in the world operates.

This distinction matters for liability, for product architecture, and for how seriously enterprise teams can take a knowledge vendor. We took it seriously from day one.

Get Early Access

The API is in private beta. We’re onboarding developers and product teams who are actively building in the restoration or property damage space. Early access includes free Developer tier access through end of Q2 2026 and direct input into the corpus roadmap.

To request access, email will@tygartmedia.com with a one-sentence description of what you’re building.