Baruza orchestrates n8n, Tierbot and AgentRouter into one autonomous system — processing high-volume multimodal documents and streaming real-time crypto feeds with Claude's advanced reasoning at the core.
Each component has a clear role. Claude sits at the center — orchestrating decisions, extracting structure from messy inputs, and generating context-aware responses.
Event-driven workflow orchestration. Triggers from webhooks, schedules, and queue events; routes payloads between systems with retries and error handling.
workflow · triggers · queueConversational agent runtime serving context-aware dialogs — carrying memory across sessions and exposing the framework to end users.
agents · memory · dialogsIntelligent request router. Classifies incoming tasks, selects the right agent/model, applies fallbacks, and enforces budget-aware rate policies.
routing · classification · fallbackMultimodal ingestion: PDFs, scans, images and forms → vision + reasoning passes → validated structured JSON output.
vision · OCR · extractionStreams real-time market data, runs continuous analysis, and produces structured market insights and alerts in natural language.
websocket · stream · insightsAdvanced reasoning for extraction, planning, tool-use chains and long-context synthesis across every pipeline stage.
reasoning · long-context · tool use# data flow — one autonomous loop input(document | crypto_feed) └─▸ n8n : trigger + normalize + enqueue └─▸ AgentRouter : classify → pick agent/model ├─▸ Claude (multimodal) : extract / reason / structure └─▸ Claude (analysis) : market insight + summary └─▸ Tierbot : deliver context-aware response └─▸ output(validated JSON | insight report | reply)
Two high-volume workloads, both requiring deep reasoning and multimodal understanding.
Complex, unstructured documents converted into reliable structured data — the current API bottleneck we need to break through.
Live market feeds continuously transformed into structured, context-aware insights — not just prices, but meaning.
We are all-in on Claude as our reasoning layer. Two things stand between Baruza and production scale: rate limits, and direct technical guidance.
Our document pipelines burst far past default tiers. Sustained throughput is the single critical bottleneck to scaling multimodal processing.
Best practices for cost-efficient agent chains, prompt caching strategies, and structured-output reliability at volume.
Credits give an independent builder the runway to ship the autonomous framework without hitting usage walls mid-development.
We architect around Claude-specific strengths — extended thinking, tool use, vision — and plan to grow with the API.
# our commitment with credits + guidance: ├─▸ ship document pipeline to production ├─▸ scale AgentRouter with budget-aware policies ├─▸ open benchmark & learnings for the community └─▸ keep Claude as the default reasoning core
We're ready to move fast with the right rate limits and guidance. Reach out — we'd love to walk you through a live demo of the pipeline.