Lattice Engines website screenshot

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.

Lattice Engines is profiled on the APIs.io network. Tagged areas include Company, Acquired, Predictive Marketing, Account Based Marketing, and Sales Intelligence.

🌐 Visit website 📡 Source on GitHub
4.0/100 minimal ▬ flat Agent 0/100 human only Front door AI 2/6 trace Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0
0 APIs
CompanyAcquiredPredictive MarketingAccount Based MarketingSales IntelligenceCustomer Data PlatformLead ScoringMachine LearningB2B MarketingHistorical

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0
Composite quality — 4.0/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 0.0 / 17
Access Clarity 0.0 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.7 / 9
Regulatory Posture 0.8 / 15
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
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
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/lattice-engines: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

Lattice Engines Domain Security

TLSv1.3 · DNSSEC

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown
WellKnown
 LLMsTxt
LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 1

The organization behind the API

Website
Website

Other 1

Properties that don't map to a standard resource type

ParentCompany
ParentCompany

Source (apis.yml)

apis.yml Raw ↑ 
aid: lattice-engines
name: Lattice Engines
description: '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.'
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - url: https://www.lattice-engines.com/
    status: 301
    note: declared website redirects to https://www.dnb.com/en-us/products/dnb-rev-up-abx.html — a different registrable domain
      (lattice-engines.com -> dnb.com), possible rename or acquisition (probed 2026-09-03, roadmap#169)
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lattice-engines.png
url: https://raw.githubusercontent.com/api-evangelist/lattice-engines/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- battery-ventures
x-tier: stub
x-tier-reason: acquired-no-public-api
x-status: acquired
x-acquired-by: Dun & Bradstreet
x-acquired-year: 2019
x-successor-slug: dun-and-bradstreet
x-successor-url: https://www.dnb.com/en-us/products/dnb-rev-up-abx.html
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Acquired
- Predictive Marketing
- Account Based Marketing
- Sales Intelligence
- Customer Data Platform
- Lead Scoring
- Machine Learning
- B2B Marketing
- Historical
tags_raw:
- Company
- Acquired
- Predictive Marketing
- Account Based Marketing
- Sales Intelligence
- Customer Data Platform
- Lead Scoring
- Machine Learning
- B2B Marketing
- Historical
- Machine-Learning
apis: []
common:
- type: ParentCompany
  url: https://apis.io/providers/dun-and-bradstreet/
  name: Dun & Bradstreet
  x-relationship: acquired
  x-evidence: 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.
- type: Website
  url: https://www.lattice-engines.com/
- type: DomainSecurity
  url: security/lattice-engines-domain-security.yml
- type: WellKnown
  url: well-known/lattice-engines-well-known.yml
- type: LLMsTxt
  url: llms/lattice-engines-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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