AOPX

Routing decisions for AI agents don't need to be baked into code. AOPX offers a consultation layer that sits between agent applications and search providers, recommending which provider to use for each request and supplying fallback paths when the primary choice becomes unavailable.

The platform targets developers of AI agents and workflow systems that currently hardcode single search provider dependencies. By introducing a routing decision point, AOPX lets agents defer provider selection to a policy layer, avoiding the brittleness that comes from fixed integrations. The core insight is straightforward: when agents need reliable search capabilities, flexibility and fallback resilience should not be sacrificed for simplicity.

What distinguishes AOPX is its feedback mechanism. After an agent executes a recommended provider and receives results, it can report back on what actually happened in production. AOPX ingests these reported outcomes and incorporates them into its routing policies, creating a system that evolves based on real-world performance rather than operating solely on frozen benchmarks. This design pattern is notably different from static provider comparison tools that offer one-time recommendations with no learning loop.

The service operates as pure consultation. AOPX receives a category and mode parameter, returns a recommendation_id along with a primary and fallback provider, and agents handle the actual API calls themselves. This architecture sidesteps the need to become a proxy layer or payment processor and keeps operational complexity minimal.

Currently, the platform covers one category: SEARCH, with integrations to Brave Search and Tavily Search. A third candidate, Serper, sits under evaluation. Three integration surfaces exist: a REST API available live, an MCP protocol implementation for agent clients, and a beta n8n connector. Discovery metadata appears in both the MCP Registry and Glama.ai.

Pricing remains undefined during the public pilot phase. Documentation explicitly states that billing is disabled, suggesting that commercial terms either have not yet solidified or await a future phase.

The service positions itself around an opinionated view of agent architecture: providers should be swappable, selection decisions should track evidence, and failure should have structured fallbacks. Whether this routing abstraction justifies the additional latency and API call in practice depends on individual deployment requirements and tolerance for added complexity.