DECENTRALIZED SEARCH

Search powered by live consensus.

Sybil orchestrates real-time intelligence directly from Bittensor subnets, bypassing centralized middleware to deliver verifiable, censorship-resistant query execution. Build context-aware applications with bare-metal decentralized compute.

Macro close-up of dark server racks in a datacenter, sharp neon green LED indicator lights, low-key ambient lighting, 35mm lens, cinematic depth of field
Macro close-up of dark server racks in a datacenter, sharp neon green LED indicator lights, low-key ambient lighting, 35mm lens, cinematic depth of field
VERIFIABLE INTELLIGENCE

Zero middleware. Pure consensus.

Sybil queries live subnets directly, synthesizing real-time intelligence from specialized decentralized networks in parallel. By bypassing centralized cloud monopolies, we deliver faster, cheaper, and more transparent AI execution powered by the TAO token.

Verifiable Execution

Every query is computed across multiple independent nodes. Consensus-level validation ensures results are tamper-proof, fully verifiable, and free from corporate bias or centralized data manipulation.

Subnet Aggregation

Sybil queries live subnets directly, synthesizing real-time intelligence from specialized decentralized networks in parallel. This decentralized orchestration ensures low-latency execution and high-fidelity consensus data.

DEVELOPER INTEGRATION

Direct subnet access.

Sybil provides clean, context-aware API endpoints for developers who demand real-time decentralized intelligence. Integrate live Bittensor consensus data directly into your LLM pipelines, agents, and analytics engines without centralized key managers.

ENDPOINT SCHEMA

POST /v1/query

Query the consensus layer directly. Specify Netuid targets, consensus thresholds, and fallback parameters in a single payload.

120ms

average query response latency

Query the decentralized web.

Deploy context-aware applications powered by live consensus-level intelligence. Get API access or license bare-metal compute today.