Access 12 daily-ingested datasets across mobility, places, people, identity, audiences and more, standardized across 229 countries and delivered via API, MCP server, or natural language.
Trusted by
How people move through the physical world—visits and patterns around stores, venues, and neighborhoods.
Clean, consistent details about stores, restaurants, venues, points of interest, and their surroundings.
Privacy‑safe consumer graph covering demographics, income bands, lifestyle and interest indicators.
Local events that move demand: concerts, sports, conferences, school calendars, public holidays, and more.
Context on parcels and neighborhoods: land use, property types, and housing stress indicators.
Search and commerce signals: which brands, products, and categories are gaining attention across markets.
Retail sales indicators by market and category to show where spend is rising or softening.
Business density and composition by area: categories, formats, and competitive mix around your locations.
Local economic pulse of income, employment, and other fundamentals that shape background demand.
Thousands of ready‑made consumer segments by market: demographics, interests, behaviors, and intent signals.
Privacy‑first identity graph linking various types of identities for cross‑device reach and measurement.
Universal geo crosswalk of boundaries, ZIPs, parcels, and building footprints mapped to grid and ID systems.
Delivered in clean tables with geoIDs and clear documentation, so you can connect to your stores, branches, depots, and trade areas quickly.
Available through the major data clouds and easy to use in SQL, notebooks, BI tools, and ML pipelines.
Plain‑language columns your data, ops, and finance teams can all understand. No black boxes.
Aggregated where required, with a privacy‑first approach and transparent sourcing and refresh cadences.
For Developers
Clean JSON over HTTPS. Authenticate, query and integrate real-world data into your applications in minutes.
For AI Agents
Any LLM or AI agent such as Claude, GPT-4, Gemini, query to receive structured, citation-ready answers.
For Analysts
A conversational interface for analysts and business users. Ask any real-world question in plain English, get charts, tables, and answers grounded in 90B+ daily signals.
For Data Teams
Native delivery to Snowflake, Databricks, BigQuery, AWS Data Exchange, S3, and GCS. Schema-consistent, partitioned and joinable with your warehouse keys.
An emerging DTC brand used Factori’s POI data to identify high-potential store locations based on foot traffic, nearby businesses, and customer behavior.
Retail & FMCG
Site Selection
Points of Interest Data
A real-world data layer is a curated, continuously-updated platform of physical-world signals — mobility, places, people, identity, audiences, events, businesses, property, economic indicators, and geospatial boundaries — unified into one schema-consistent, privacy-safe, AI-accessible substrate. It replaces the fragmented stack of 3–5 point-solution vendors most data teams maintain today.
Factori provides a native MCP (Model Context Protocol) server that any LLM or AI agent can query in plain English — Claude, GPT-4, Gemini, custom models, anything MCP-aware. The MCP server is free to start and returns structured, citation-ready responses. We also offer a REST API for programmatic access and a conversational interface (“Ask the Real World”) for analysts.
All Factori data is aggregated, anonymized, and consent-sourced. We are ISO 27001 certified and compliant with GDPR, CCPA, and applicable regional privacy regulations. No individual-level tracking is ever provided. Our privacy methodology operates across three layers – provider, platform and customer, described in detail in our Trust Center.
Here’s how we deliver:
(1) REST API for programmatic queries
(2) MCP server for AI agents and LLMs
(3) “Ask the Real World” conversational interface for analysts
(4) Cloud-to-cloud delivery to Snowflake, Databricks, BigQuery, AWS Data Exchange, S3, and GCS.
Yes — the twelve industries shown are the largest existing buyer clusters, but the underlying signals (mobility, places, people, identity, audiences) apply to any decision involving physical-world context. If you can describe the decision, our team can map it to the right datasets. Book a 30-minute discovery call.
Three free options:
(1) Download a 100-row sample CSV for FREE
(2) Connect the MCP server to your AI client and query in natural language
(3) Book a 30-minute discovery call, validate fit against a specific use case.
90% horizontal accuracy on location precision. 90% match rate on identity resolution. 800+ verified attributes per person profile. Quality controls include panel balancing, extrapolation modeling, and rigorous outlier detection on every signal. Detailed methodology PDFs are available under NDA.
See how the Real World Graph behaves against your actual data, mobility, places, identity, audiences, in a 30-minute working session.
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