Lattice Engines
Lattice Engines was a predictive marketing and AI-driven B2B customer data platform that applied machine learning to first-party CRM and marketing automation data combined with external firmographic, technographic, and intent signals in order to score accounts and leads, prioritize sales outreach, and power account-based marketing programs. The company was acquired by Dun & Bradstreet in 2019 and the product was rebranded D&B Lattice before being folded into the Dun & Bradstreet Rev.Up ABX go-to-market platform. Lattice Engines no longer operates as an independent brand and publishes no developer surface of its own: as of the 2026-07-19 enrichment probe, www.lattice-engines.com returns HTTP 301 to dnb.com, the apex domain returns HTTP 403, api.lattice-engines.com returns HTTP 404, and developer./docs. subdomains do not resolve. This profile is retained as a historical record; the live successor surface is documented in the api-evangelist dun-and-bradstreet repository.
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.
API Evangelist profiles Lattice Engines 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 — Lattice Engines scores 6.8/100 (minimal), with a separate agent-readiness read of 4/100 (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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Lattice Engines
Each block below is one kind of artifact we hold for Lattice Engines. 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.
Resources
Every other property we hold for Lattice Engines — 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.
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Company 1
The organization behind the API
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