Connect your AI to a business knowledge network built for conversational discovery.
CRSTBL transforms merchant-authorized business information into structured, contextual knowledge that LLMs, AI agents, software platforms, and enterprise systems can access through MCP, APIs, and custom integrations.
Who we partner with.
CRSTBL’s business knowledge network is designed to feed the AI systems that customers, employees, and buyers actually use.
Why the CRSTBL Business Knowledge Network is valuable.
Traditional web search, public directories, and general-purpose datasets frequently lack the depth, freshness, and context needed for accurate business discovery. CRSTBL fills that gap.
Merchant-authorized
Information originates from participating businesses through their approved content, uploads, and authorized data sources.
Richer than listings
Captures information that’s typically fragmented, outdated, or absent from conventional directories and search results.
Conversationally structured
Organized so AI systems can answer natural-language questions with multiple criteria, preferences, and use cases.
Semantically mapped
Connects products, services, attributes, industries, use cases, and customer needs across the whole network.
Location-specific
For chains, franchises, and distributors, CRSTBL distinguishes information by location, territory, catalog, or operating unit.
Updateable at source
Businesses update information through CRSTBL directly — no waiting for third-party crawlers or directory revision cycles.
Governed & attributable
Data can include merchant attribution, source controls, permitted-use rules, and refresh policies where appropriate.
Integration methods.
CRSTBL supports multiple access patterns. The right one depends on your platform, volume, and integration timeline.
MCP access
Compatible LLMs and AI agents retrieve approved business knowledge through Model Context Protocol connections.
API access
Structured endpoints for products, menus, services, locations, attributes, availability, and related entities.
Structured data feeds
Scheduled or continuous data feeds for high-volume partners that ingest bulk business information.
Embedded retrieval
Partner applications retrieve CRSTBL business information directly inside their own product experiences.
Custom enterprise integrations
Specialized authentication, governance, transformation, or workflow support for large or high-sensitivity partners.
Example use cases.
What CRSTBL business knowledge unlocks for downstream AI systems.
Local commerce & restaurant discovery
An AI assistant helps a user find a restaurant based on dish-level, dietary, geographic, reservation, and family-preference criteria.
Product & distributor discovery
A procurement or sales assistant identifies products by technical requirements, industry application, compatibility, and inventory.
Loyalty & credit card networks
A loyalty platform helps cardholders discover participating merchants, relevant products, eligible offers, and location-level benefits.
Travel & destination platforms
A travel assistant answers detailed questions about restaurants, retailers, attractions, services, and local business availability.
Enterprise knowledge assistants
Enterprise AI retrieves merchant-authorized product, policy, location, and service info for support, sales, or operational workflows.
Vertical AI platforms
Industry-specific AI apps use CRSTBL data to improve discovery and recommendations in restaurants, retail, distribution, professional services, and beyond.
How partnerships start.
Every Data & Technology partnership is scoped to the specific integration. There’s no one-size-fits-all rate card.
Define the use case
Identify your product, industry, geography, information needs, and user workflow.
Define the knowledge scope
Determine which businesses, verticals, attributes, locations, or datasets are required.
Select the access method
MCP, API, structured feed, embedded retrieval, or custom enterprise integration.
Establish governance & commercial terms
Authentication, permitted use, attribution, refresh frequency, query limits, data rights, privacy, and pricing.
Launch a constrained pilot
Start with one vertical, market, merchant cohort, workflow, or limited query volume.
Expand based on validation
Increase coverage, depth, refresh frequency, or platform integration after pilot validation.
Access is scoped per partnership.
Data access and integration terms are developed based on use case, coverage, volume, deployment requirements, and data governance needs. There’s no published rate card during the initial launch. Commercial terms are shaped by number of businesses, locations, industry and geographic coverage, query volume, retrieval and refresh frequency, integration complexity, exclusivity, and service-level requirements.
Future pricing may include platform access fees, API usage pricing, MCP access fees, query-based pricing, data licensing, industry-specific subscriptions, geographic packages, enterprise minimum commitments, or revenue-sharing arrangements — determined per partnership.
Discuss a Data & Technology partnership.
Whether you’re a new LLM, an established AI platform, or building the data infrastructure that connects businesses to AI — we want to talk.