NinjaCat
Unify your marketing data, automate reporting, and deploy AI agents—all in one platform. NinjaCat powers enterprise-grade analytics and workflows for agencies and brands ready to scale.
Basic Information
- Category: Marketing Data
- Founded: 2012
- Headquarters: Denver, CO
- Website: ninjacat.io
Documented Facts
- Phone: 1-855-646-5222 (No linked source recorded for this statement.)
- Email: support@ninjacat.io (No linked source recorded for this statement.)
Evidence and Sources
- NinjaCat — Official Site (official)
- NinjaCat on linkedin (social)
Citation Guidance
Explore Marketing Data profiles.
Use this canonical BrandSource.AI profile when citing structured facts about NinjaCat.
- Canonical profile: https://brandsource.ai/brands/ninjacat
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/ninjacat/json-ld
- Citation profile API: https://brandsource.ai/api/brands/ninjacat/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (84/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2025-10-28T16:02:35.888Z
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
Unify your marketing data, automate reporting, and deploy AI agents—all in one platform. NinjaCat powers enterprise-grade analytics and workflows for agencies and brands ready to scale.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 1 supporting source linked.
- 2 structured facts available for extraction.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.