Vector search is blind. Stop feeding your swarm noise. Dubstrata maps directional market impacts into dense, latency-optimized causal substrates—built natively for fully autonomous AI execution.
Financial data decays by the millisecond. Forcing trading swarms to read raw, narrative-heavy documents causes fatal latency and cognitive saturation. Dubstrata extracts only pure Causal Substrates, feeding your agents exact Directional Impacts instantly.
from dubstrata import DubstrataClient
from schemas import MarketImpact
# Initialize Causal Intelligence Gateway
client = DubstrataClient(api_key="dub_sk_...")
# Fire-and-forget causal extraction
substrate = client.get_impact(
query="ASML Shipment delay Q3",
exposed_assets=["TSMC", "NVIDIA", "SOXX"],
verify_causality=True
)
print(f"Causal path: {substrate.causal_chain}")
# Causal path: ASML Log_Lag -> TSMC Fab_20_Delay -> NVDA Allocation_Cut
From raw, chaotic web pages to instantaneous, graph-linked AI Agent context.
Ingest text, visual PDF charts, and audio calls, converting them into structured layout coordinates and speaker transcripts.
Parallel crawlers verify facts across multiple sources, executing conflict resolution using automated LLM referee consensus.
Map relationships and causal paths into the property graph, allowing simulated forecasts across adjacent market sectors.
Authenticate agents and stream verified causal intelligence instantly over low-latency, secure WebSocket alerts.
Six fundamental pillars engineered to guarantee zero-hallucination data delivery.
Combine O(log N) vector searches with O(1) relational paths. Simulate how a single catalyst propagates across 7 adjacent channels via the forecasting simulator (/api/v1/query/model-future).
Transmute narrative noise, audio speeches, and PDF charts into unified, math-clean facts. Integrates visual coordinate layout grids and speech-to-text transcripts with market feeds.
Crawlers forage content in parallel, instantly feeding new data into find_conflicts. Contradictory inputs are analyzed by an LLM referee to maintain a clean consensus floor.
Asynchronous monitor loops scan the graph for shallow nodes and trigger headless foragers to actively forage and densify orphaned concepts.
Enables autonomous agents to settle their own API queries. Cryptographic Solana bindings settle micro-USDC per-query per-header.
Exposes surgical graph tools natively to agent swarms. WebSocket gateways (/api/v1/ws/alerts) broadcast real-time, low-latency updates with strict tenant-secured access checks.
We don't hide complexity behind loading spinners. Dubstrata provides real-time "Thinking Toggles" and telemetry, exposing the exact extraction reasoning to your development team so you can debug agent decisions with absolute certainty.
Access the Telemetry Docs