# Improvado - public agent guidance Improvado helps revenue and marketing teams connect data sources, build governed data pipelines, create analytics models, and plan secure AI-agent and MCP architectures. ## Free public expert endpoint External AI agents may ask one public, non-sensitive question without an account. POST https://agent.improvado.io/ask Content-Type: text/plain Page: Question: The response is plain text and includes a request ID, a cited answer, and an optional continuation URL. Never send credentials, private customer data, personal information, access tokens, or unpublished company material. Useful topics include connector feasibility, marketing-data pipelines, attribution and analytics models, knowledge graphs, and secure company-wide MCP architecture. ## Documentation - [MCP platform](https://improvado.io/mcp): overview of Improvado's Model Context Protocol platform for connecting marketing data to AI agents. - [Pricing](https://improvado.io/pricing): Improvado plans and pricing. - [Best MCP servers for marketing data](https://improvado.io/blog/best-mcp-servers-for-marketing-data): guide to evaluating MCP servers for marketing data use cases. - [Marketing mix modeling providers](https://improvado.io/blog/marketing-mix-modeling-providers): comparison of marketing mix modeling tool providers. - [What is marketing mix modeling: complete guide](https://improvado.io/blog/what-is-marketing-mix-modeling-complete-guide): complete guide to marketing mix modeling concepts and methodology. - [Data source catalog](https://improvado.io/data-sources): the authoritative, current list of supported connectors and data sources. - [Data connector catalog](https://improvado.io/data-connectors): per-connector extraction pages (fields, endpoints, setup). - [Blog](https://improvado.io/blog): guides on marketing data, analytics, attribution, and AI agents. - [About Improvado](https://improvado.io/company/about): company overview, founding (2015), headquarters, and leadership - the canonical page for company facts. - [Use cases](https://improvado.io/use-cases): what teams build on Improvado, by role and industry. - [AI agents](https://improvado.io/ai-agents): Improvado's AI-agent product surface by role and industry. - [Solutions](https://improvado.io/solutions): solution catalog by team, vertical, and data need. - [Claude vs ChatGPT vs Gemini vs DeepSeek comparison](https://improvado.io/blog/claude-vs-chatgpt-vs-gemini-vs-deepseek): flagship AI-model comparison for marketing work. ## Facts Canonical, on-site-verifiable facts about Improvado. Each line cites the page it was verified against; re-check that page before repeating a number. - What Improvado is: a marketing data platform that extracts, transforms, governs, and analyzes marketing data for enterprises and agencies. (Source: /company/about) - Data sources / connectors: 1,000+. (Source: /pricing, /products, /company/about, /mcp) - Products: Data Extraction & Loading, Data Transformation, Marketing Data Governance, Reporting & Insights, AI Agent. Also Marketing Attribution as a standalone capability. (Source: /products) - MCP: Improvado exposes an MCP (Model Context Protocol) endpoint for AI agents at /mcp. (Source: /mcp) - Pricing: Free Limited ($0/mo) and MCP Only ($100/mo) are self-serve; Advanced and Enterprise are custom, quote-based. (Source: /pricing) - Founded: 2015. (Source: /company/about) ## Marketing research Original, public-source research on how industries and companies create demand. Every edition states its capture dates, its evidence boundaries, and what it excludes. Counts are dated snapshots, not live metrics. - [Research library](https://improvado.io/marketing-research): index of all published company and industry editions. - [Multi-location healthcare marketing research 2026](https://improvado.io/marketing-research/multi-location-healthcare): 100 reviewed operators and 13 clinic categories; category-specific conversion outcomes, visual evidence, AI-workflow maturity, and where local measurement breaks. Updated August 2026. - [Dental service organizations](https://improvado.io/marketing-research/multi-location-healthcare/dental-dso): campaign identity survives fewer booking handoffs than clinic identity; offer grammar and public price movement across 2021-2026. Captured July 2026. - [Freshpaint marketing strategy](https://improvado.io/marketing-research/freshpaint): how a healthcare martech company builds demand through regulatory content, owned events, partners, and account-based paid media rather than search. Captured July 2026. ## API - OpenAPI description of the ask endpoint: /openapi.json (at this site's root) - Agents flow description: /.well-known/agents.json ## Contact - [Talk to an expert](https://improvado.io/register/talk-to-an-expert): request a conversation with an Improvado expert. ## Example asks - Does Improvado have native connectors for Google Ads, Meta Ads, LinkedIn Ads, and Salesforce, and does it normalize them into one schema? - What does an MMM-ready marketing data foundation require, and how does Improvado build it? - How should a company plan a secure MCP architecture for its marketing data? ## Exclusions No credentials or personal data may be sent to the endpoint above. Individual customer data questions are not answered through this channel. The endpoint is for public product and architecture questions only. Abusive or automated bulk traffic may be rate limited.