B.O.N.S.A.I. Health Intelligence API

io.github.rabyavalla/bonsai-health · v3.0.1 · health-and-science

B.O.N.S.A.I. Health Intelligence API is healthy: it completed an MCP handshake in 760 ms and exposes 9 tools.

Lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references.

Endpoint: https://web-production-ae61.up.railway.app (streamable-http)

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Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count9
Latency760 ms
Last checked (UTC)2026-10-16T13:25:41.489Z

Health history

Checked (UTC)StatusLatencyError
2026-10-16T13:25:41.489ZHealthy760
2026-10-15T08:15:16.955ZHealthy1193

Tools (9)

get_protocolGenerate an evidence-based whole-food plant-based protocol for one of 47 chronic conditions. Returns therapeutic foods, daily meal structure, foods to minimize, monitoring markers, and clinical citations.
query_nutrition_topicAsk a nutrition or food-as-medicine question. Returns evidence-based answer from the 200-chunk lifestyle medicine knowledge base.
interpret_labsInterpret a panel of lab values against ACLM-optimized reference ranges. Returns risk classification per marker, lifestyle interventions, and medication deprescription signals.
marker_referenceLook up the ACLM-optimized reference range and lifestyle intervention plan for a single biomarker (e.g., apob, lp_a, hscrp, hba1c, fasting_insulin, vitamin_d).
glp_protocolGenerate a GLP-aware nutrition protocol composed on top of any active chronic condition. Returns protein floor (1.2-1.6 g/kg), fiber ramp schedule, GI tolerance interventions, resistance training prescription, hydration target, and phase-specific guidance.
glp_phase_guideReturn the protocol overview for a specific GLP-1 therapy phase (starting, titrating, maintenance, tapering, post_drug).
check_interactionsCheck a list of medications for food-drug interactions, nutrient depletions, and timing-critical dosing requirements.
drug_safetyReturn the food-drug safety profile for a single medication.
lifestyle_queryAsk any lifestyle medicine question. Returns evidence-based answer with citations from a 200-chunk knowledge base spanning ACLM 6-pillars, B.O.N.S.A.I. nutrition, drug-food interactions, lab interpretation, GLP guidance, wearables, and CGM signal interpretation.