5-Lens Empirical Quadrants, Pareto Frontier & 17-Facet AI Catalog
Replaces subjective analyst pay-to-play quadrants with reproducible telemetry across LLMs, CPU/Edge SLMs, 3D/Multimodal, Time-Series Foundation Models (Chronos-Bolt, TimesFM 2.0, Moirai-MoE, TimeGPT, PatchTST, Toto), Agent SDKs/Orchestrators, 7-Stage RAG, DSPy, Embeddings, MCP + A2A, Security, Tracing vs Evaluation, Memory Policies vs Vector/SQL Substrates, and Durable Execution.
All 17 Facets (16) agent_development_orchestration ai_security_and_guardrails automation_ipaas_dag_durable embeddings_and_rerankers evaluation_and_regression_testing llm_frontier_cloud llm_open_weights_cloud memory_behavior_policies multimodal_vision_audio_3d observability_tracing_monitoring programmatic_prompt_workflow_optimization protocols_mcp_and_a2a rag_context_pipeline slm_cpu_edge_quantized teleon_team_simulation_provenance timeseries_foundation_models vector_and_transactional_storage
5 Orthogonal Ranking Lenses
- Lens 1 (Empirical 2x2 Quadrant): X = Verified Execution Reliability vs Y = Architectural Composability and Governance Fit.
- Lens 2 (Constraint-Weighted Wave): Custom workload weights plus Tversky hard vetoes (
spdx_license, blast class, CPU-only). - Lens 3 (Exact Pareto Frontier): Non-dominated set across Quality, Latency, Cost, Cliff Retention, and Lock-in Freedom (orange nodes).
- Lens 4 (Jagged-Frontier Cliff Index): Perturbed neighbor retention ratio.
- Lens 5 (Team Marginal Value / WAR): Paired holdout lift net of coordination token tax.
| Component & Publisher | Primary Facet | Quadrant & Frontier | Lens Scores | Cliff & WAR | License |
|---|---|---|---|---|---|
| Model Context Protocol (MCP 2025-06-18) Model Context Protocol ( protocol_spec) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER PARETO | Exec: 96, Fit: 94, Wave: 95.76 | Cliff: 93%, WAR: +0.34 | MIT |
| Official MCP TypeScript & Python SDK Model Context Protocol ( protocol_sdk) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 95, Fit: 94, Wave: 94.88 | Cliff: 93%, WAR: +0.29 | MIT |
| Envoy AI & MCP Gateway CNCF / Envoy ( mcp_server) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER PARETO | Exec: 96, Fit: 95, Wave: 94.84 | Cliff: 95%, WAR: +0.28 | Apache-2.0 |
| Cloudflare MCP Server Cloudflare ( mcp_server) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 94, Fit: 93, Wave: 93.96 | Cliff: 91%, WAR: +0.27 | Apache-2.0 |
| MCP Inspector & Conformance CLI Model Context Protocol ( protocol_sdk) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 95, Fit: 94, Wave: 93.6 | Cliff: 93%, WAR: +0.24 | MIT |
| SQLite / D1 Local Verify MCP MCP Contributors ( mcp_server) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 96, Fit: 94, Wave: 93.52 | Cliff: 93%, WAR: +0.24 | MIT |
| FastMCP Prefect / jlowin ( protocol_sdk) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 94, Fit: 93, Wave: 93.32 | Cliff: 91%, WAR: +0.25 | Apache-2.0 |
| GitHub MCP Server GitHub ( mcp_server) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 93, Fit: 93, Wave: 93.04 | Cliff: 89%, WAR: +0.26 | MIT |
| Filesystem MCP Server Model Context Protocol ( mcp_server) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 94, Fit: 93, Wave: 93 | Cliff: 91%, WAR: +0.24 | MIT |
| Playwright MCP Server Microsoft ( mcp_server) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 93, Fit: 92, Wave: 93 | Cliff: 87%, WAR: +0.28 | Apache-2.0 |
| Official MCP Registry Model Context Protocol ( protocol_registry) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 92, Fit: 93, Wave: 92.2 | Cliff: 91%, WAR: +0.22 | MIT |
| A2A (Agent2Agent Protocol) Linux Foundation / Google ( protocol_spec) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 90, Fit: 91, Wave: 91.64 | Cliff: 87%, WAR: +0.26 | Apache-2.0 |
| PostgreSQL MCP Server MCP Contributors ( mcp_server) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 91, Fit: 92, Wave: 91.28 | Cliff: 89%, WAR: +0.22 | MIT |
| A2A Python & JS Reference SDK Linux Foundation / Google ( protocol_sdk) |
protocols_mcp_and_a2a |
EMPIRICAL_LEADER | Exec: 89, Fit: 91, Wave: 90.12 | Cliff: 87%, WAR: +0.21 | Apache-2.0 |
| Google Drive MCP Server MCP Contributors ( mcp_server) |
protocols_mcp_and_a2a |
OPERATIONAL_WORKHORSE | Exec: 86, Fit: 81, Wave: 87.9 | Cliff: 84%, WAR: +0.17 | MIT |
| Slack MCP Server Slack / MCP ( mcp_server) |
protocols_mcp_and_a2a |
OPERATIONAL_WORKHORSE | Exec: 86, Fit: 81, Wave: 87.5 | Cliff: 80%, WAR: +0.16 | MIT |