Enterprise
Transform corporate archives into yield-bearing vector nodes. Spin up containerized, zero-egress taste evaluation loops to test your products in milliseconds while paying strictly for the inference loops you run.
Get Data
Buy Data
License high-density human preference vectors as an immediate compiler gate for internal AI models, stripping synthetic noise before deployment.
Get Data
Sell & Monetize Archive Data
Turn unused brand archives, design libraries, and internal rubrics into active $TX vector nodes. Continuous licensing revenue from third-party queries.
List an Archive
Rent Data
Access curator nodes or niche-index time slices on demand. Run temporary evaluation loops for a campaign or a product run without buying full ownership.
Rent a Slice
Trade & Arbitrage Data Assets
Buy into undervalued niche indices before visual trends peak. Trade spatial or design vectors. Arbitrage preference data across emerging markets.
Open the Floor
Invest in Cultural Capital
Treat aesthetic trends as liquid commodities. Allocate capital into rising vector sectors to hedge against cultural shift and brand obsolescence.
See the IndexExchange
Enterprise
The full data asset spectrum.
Discover & License (Registry)
Browse the Registry to discover verified curator nodes (Emulators) or sector baskets ($TX-CINEMA, $TX-LUXE). Select your commercial licensing model: spot metered API queries for dynamic workloads or a flat-rate monthly enterprise SLA subscription for predictable billing.
Attach the Local Harness (SDK / MCP)
Integrate the TasteXchange Model Context Protocol (MCP) server or lightweight SDK into your generation pipeline with a few lines of code. The harness connects your generative models (LLMs, image diffusers, or 3D engines) directly to the evaluation layer over local compute.
Set Restraint Thresholds (Flavor-Gating)
Define your strictness parameters (1 / 0) within your pipeline's compiler settings. Adjust your rejection sensitivity based on brand tolerance, setting the minimum vector similarity score (e.g., 0.88) required for an output to pass.
Execute Zero-Egress Clearing (<100ms Evaluation)
When your AI generates a candidate asset, the local Clearinghouse gate embeds the candidate in memory, compares it against the rented curator vector, and returns an instant binary pass/fail verdict.
Programmatic Clearing & Auditing
Micro-licensing fees or subscription query credits clear automatically in the background. Because evaluations execute in ephemeral, volatile memory sandboxes, your proprietary prompts, candidate images, and brand IP are instantly destroyed, guaranteeing complete data privacy with zero residual persistence.