Orthogonal

Name: Orthogonal
Brand: Orthogonal

AI Native

The Unified API for AI Agents

Est 2025|Raised $4.8M|13 Ref Customers

LinkedIn 2K|Web traffic 5K|FTEs 5|HQ San Francisco, CA

MarketsAPI Management MCP Gateway

01Competitive Landscape

| Aspect | Orthogonal | Nango | Merge.dev | |---|---|---|---| | Starting Price | Published per-call pricing available from the vendor; initial free credits offered; pricing varies by endpoint and provider | Not established from captured sources; positioned as source-available integration tooling | Not established from captured sources; referenced as a unified-API integration vendor | | Primary Use Case | Agent builders needing access to multiple data/skill APIs behind a single key; agent-focused tooling (MCP/SDK/CLI) | Teams seeking customizable integration scripts and schema control to reduce one-size-fits-all issues | SaaS companies seeking a standardized integration layer across common business apps | | Key Strength | Single authentication model and a normalized call shape for multiple providers; multiple interfaces for agent integration (SDK/CLI/MCP/REST) | Customization to address schema divergence and reduce lowest-common-denominator constraints | Broad familiarity in the unified-API category and established integration use cases | | Key Weakness | Public enterprise security and compliance documentation is limited; unified-API abstraction trade-offs; platform fees layered over provider pricing | Subject to the same category-level limitations of unifying divergent APIs | Category risks: external dependency and abstraction constraints | - Narrative analysis - The vendor's stated differentiation is less focused on integrating enterprise CRMs or ticketing systems and more focused on providing skills/APIs for agents (especially data providers supporting go-to-market workflows) and agent-friendly interfaces such as MCP support. - Competitors that focus on model routing or unified model APIs occupy an adjacent layer and can overlap in buyer conversations if buyers conflate unified APIs for models vs unified APIs for data/skills. - Category-wide concerns include the trade-off between shallow coverage (lowest common denominator) and complexity from many provider-specific escape hatches; this theme recurs in public forum discussions about unified APIs.

01Competitive Landscape

Aspect	Orthogonal	Nango	Merge.dev
Starting Price	Published per-call pricing available from the vendor; initial free credits offered; pricing varies by endpoint and provider	Not established from captured sources; positioned as source-available integration tooling	Not established from captured sources; referenced as a unified-API integration vendor
Primary Use Case	Agent builders needing access to multiple data/skill APIs behind a single key; agent-focused tooling (MCP/SDK/CLI)	Teams seeking customizable integration scripts and schema control to reduce one-size-fits-all issues	SaaS companies seeking a standardized integration layer across common business apps
Key Strength	Single authentication model and a normalized call shape for multiple providers; multiple interfaces for agent integration (SDK/CLI/MCP/REST)	Customization to address schema divergence and reduce lowest-common-denominator constraints	Broad familiarity in the unified-API category and established integration use cases
Key Weakness	Public enterprise security and compliance documentation is limited; unified-API abstraction trade-offs; platform fees layered over provider pricing	Subject to the same category-level limitations of unifying divergent APIs	Category risks: external dependency and abstraction constraints

Narrative analysis
- The vendor's stated differentiation is less focused on integrating enterprise CRMs or ticketing systems and more focused on providing skills/APIs for agents (especially data providers supporting go-to-market workflows) and agent-friendly interfaces such as MCP support.
- Competitors that focus on model routing or unified model APIs occupy an adjacent layer and can overlap in buyer conversations if buyers conflate unified APIs for models vs unified APIs for data/skills.
- Category-wide concerns include the trade-off between shallow coverage (lowest common denominator) and complexity from many provider-specific escape hatches; this theme recurs in public forum discussions about unified APIs.