The #1 Company Logo API | Brand.dev

What

Brand.dev is an API platform for retrieving brand and company data from a domain, company name, email address, or stock ticker. The site presents it as a way to add logos, colors, company metadata, style information, screenshots, transaction-to-brand matching, and web content extraction into products and workflows.

It appears to serve product teams, developers, and AI builders who want to personalize onboarding, enrich company profiles, automate theming, improve transaction displays, and give AI systems real-time brand context. Its positioning is likely a developer-first brand data API with adjacent web extraction capabilities for SaaS, fintech, directories, and AI applications.

Features

• Brand retrieval by multiple identifiers — Fetch logos, colors, and company metadata using a domain, company name, email, or stock ticker, which helps prefill records and reduce manual setup.
• Website styleguide extraction — Retrieve colors, typography, fonts, and broader visual identity details from a website to support automatic theming and branded UI generation.
• Company enrichment data — Access company descriptions, addresses, socials, NAICS classification, and related profile data to turn sparse records into more complete company profiles.
• Transaction identification — Map merchant or transaction strings to real-world brands, which can make billing, financial, or invoice experiences easier to read.
• Website capture and scraping tools — Generate screenshots and extract HTML, Markdown, images, or sitemap URLs for downstream analysis, indexing, or LLM-ready processing.
• AI query and product extraction — Use AI-assisted structured extraction for custom website data points and product listings, though the page does not detail all extraction limits or schemas.

Helpful Tips

• Validate data freshness requirements early — The site references data freshness in its FAQ, but implementation teams should confirm update cadence and cache behavior for use cases that need current branding or company details.
• Separate critical identity data from convenience enrichment — Logos, names, and domains may be suitable for immediate UX improvements, while descriptive fields and classifications may need review before being used in regulated or customer-facing decisions.
• Test coverage across edge cases — If your users include subdomains, small businesses, stealth companies, or non-standard merchant descriptors, verify match quality before rolling out automation broadly.
• Use brand context selectively in AI workflows — Real-time brand data can improve generated copy and visuals, but teams should define which fields are trusted inputs and which should be human-reviewed.
• Plan fallback UX for missing or ambiguous results — Even strong enrichment APIs benefit from graceful defaults when a company cannot be resolved cleanly from email, ticker, or transaction text.

OpenClaw Skills

Brand.dev could likely fit well inside OpenClaw as a brand-enrichment and web-context skill layer. Likely workflows include an agent that takes a lead list or signup email, resolves company identity, enriches the profile with logos and style data, and then passes that context into downstream onboarding, CRM hygiene, account research, or content-generation skills. Another likely use case is a transaction or merchant-resolution agent for finance operations, where raw descriptors are mapped to recognizable brands before routing to reporting or customer communications.

Combined with OpenClaw, this kind of product could support industry-specific agents for SaaS onboarding, fintech transaction clarity, sales research, partner portals, and branded document generation. A likely outcome is less manual gathering of company assets and more context-aware automation across customer-facing workflows. The source page does not state a native OpenClaw integration, so these should be treated as plausible agent patterns rather than confirmed built-in connections.