--- source_url: "https://www.freshgeo.com/?utm_source=openai" title: FreshGeo — The grounding API for AI agents mirrored_at: 2026-08-30T01:00:58.864Z host: www.freshgeo.com cited_in_42a: true mirror_canonical: "https://index.42a.ai/www.freshgeo.com/index__q__utm_source_openai" --- > **Original source:** https://www.freshgeo.com/?utm_source=openai The grounding API for AI agents · MCP-native ## Your agent needs real data, _not a scraped mess._ Seven typed APIs — pricing, intent, jobs, social, real estate, competitor changes and news — behind one MCP server. Deterministic, cached, and priced per tool call, not per token burned re-parsing markdown. 4.2M agent tool-calls / day p95 <200ms cached response 99.95% uptime SLA 7 → 1 vendors → one contract If you're building an agent, you've probably tried ## Most teams get here the hard way. Alternative · A web search API ✗ Tavily, Exa, Serp, Brave — great for blogs, bad for structured entities. Your agent burns 2-4k tokens per call re-parsing markdown to extract a price or a headcount. Wrong job. ✓ Typed JSON, not re-parsed markdown Every FreshGeo response is a deterministic, typed object. Fields are stable, prices are numbers, dates are ISO. Zero extraction prompts, zero hallucinated fields. Alternative · A scraping API ✗ Firecrawl, ScrapingBee, Bright Data. You get HTML, you still have to teach the agent how to extract from each site. Blocks, layout changes, rate limits — your problem. ✓ We scrape so your agent doesn't FreshGeo runs the crawl + extraction + normalisation upstream. The agent sees clean entities keyed by GTIN, UPRN, ticker or company domain. Source evidence URLs included per field. Alternative · Five enrichment vendors ✗ Clearbit for firmographics, Cognism for contacts, ZoomInfo for headcount, Bombora for intent, Crayon for competitor changes. Five auths, five schemas, no joins. Your agent can't link a news event to a pricing change. ✓ One auth, one schema, entity graph Seven domains of data stitched through a shared entity graph. One FreshGeo company ID joins pricing, hiring, intent, news and social. Your agent reasons across datasets natively. Alternative · Building scrapers yourself ✗ Six months of headless Chrome, proxy rotation, and weekly breakage. You'll still be babysitting them next year. And compliance hasn't signed off on the source list. ✓ Production data as a service 99.95% uptime, signed data-use licences, SOC 2 Type II (in progress), UK-hosted with DPA. Procurement and security review pre-cleared. What's different ## Four things no scraper and no search API will give you. ◈ ### MCP-native, out of the box One endpoint — mcp.freshgeo.com — registers seven tools with typed parameters, descriptions and scopes. Claude, GPT, Gemini, Cursor and any MCP-compatible runtime pick them up without code. ◆ ### Deterministic + cacheable Same query returns the same answer for 15 minutes. Every response carries a cache\_id so you can replay it in evals, audit logs, or production retries. Hallucination-safe by construction. ▣ ### Per-agent keys, hard caps Mint a key per agent or user session with a per-tool scope, call cap and rate limit. Runaway loops hit a wall at your chosen threshold. No metered overages unless you opt in. ◇ ### Entity graph across seven domains A pricing event, a news article, a hiring surge and a competitor tech change all resolve to the same FreshGeo company ID. Your agent can reason across datasets without stitching. The shift ## Before FreshGeo  →  with FreshGeo Before With FreshGeo 40% of tool calls fail or retry on long-tail sites Deterministic typed JSON, p95 <200ms cached Agent burns 2-4k tokens parsing scraped HTML Clean fields, zero re-parse tokens Five vendors, five auths, five schemas One MCP server, seven tools, one key "Sometimes hallucinates prices or dates" Entity-linked, timestamped, cache\_id per call Runaway loops send you a £4,000 overage Per-agent caps, hard-stop at your quota Compliance hasn't signed off on your scrape list Licensed sources, SOC 2 (in progress), DPA Best fit ## Who this is for. FreshGeo is sharpest for teams shipping agents into production — not research prototypes, not chatbots that answer from their weights. ### Teams shipping production agents on Claude, GPT or Gemini You've moved past "it works in a notebook". You care about p95 latency, token cost per session, deterministic evals, and not waking up to a £4,000 overage. ### RAG stacks that graduated to agents Your retrieval is great for documents. But now the agent needs current prices, live hiring signals, or today's news — not the snapshot in your vector DB. ### AI vertical SaaS You're building an agent for sales, retail pricing, real estate, compliance or PE. The data is the product. Scraping is a liability, not a moat. ### Agent framework users LangChain, LlamaIndex, Mastra, Agno, Google ADK. You want seven reliable tools, not seven integration projects. The data ## Seven tools. One agent. Each is a real data product on its own — documented, licensed, priced transparently. Together, they're a grounding layer your agent can actually trust. What builders say ## Teams shipping agents into production. ★★★★★ > "FreshGeo's pricing API replaced three vendors. Data quality and latency are exceptional — we cut integration time from weeks to hours." SC Sarah Chen CTO, PriceTrack ★★★★★ > "Intent signals transformed our pipeline. 3.2x improvement in qualified leads within 60 days. The ROI paid for itself in week one." MW Marcus Webb VP Eng, LeadFlow ★★★★★ > "Finally, a real estate API that scales. 500K daily queries handled flawlessly with sub-50ms responses." AP Anika Patel Head of Data, PropVest ★★★★★ > "The risk signals API gives us an edge our competitors don't have. Early warning on layoffs and funding changes is invaluable." JL James Liu Founder, RiskLens Architecture ## From your agent to licensed sources in one hop. 01 Your agent Claude, GPT, Gemini, or custom runtime — MCP-compatible. 02 FreshGeo MCP One endpoint. 7 typed tools. Per-agent keys + scopes. 03 Entity graph Stable IDs link pricing, hiring, news, competitor and social data. 04 Cached responses 15-min determinism window. cache\_id per call. Sources\[\] per field. 05 Licensed sources Public-web crawls, licensed feeds, partner APIs. UK-hosted. FAQ ## Questions agent builders ask us. What is FreshGeo? + FreshGeo is a grounding API for AI agents. Seven typed data endpoints — competitor pricing, buying intent, jobs, social, real estate, competitor monitoring and news/risk — exposed as one MCP server and one REST API so agents can fetch real-world facts without scraping the web. How is this different from a web search API like Tavily or Exa? + Search APIs return ranked web pages in markdown. Agents still have to reason over unstructured text. FreshGeo returns deterministic typed JSON — prices, headcount, listings, events — so the agent spends zero tokens extracting fields. Different job, same stack. Can I plug it straight into Claude, OpenAI or Cursor? + Yes. Point any MCP-compatible client at mcp.freshgeo.com and the seven APIs appear as tools with typed parameters and per-tool auth scopes. There is also a REST surface and official SDKs for Python, Node, Go and Ruby for function-calling setups. Why do agents need this instead of scraping? + Scrapers give you HTML that the LLM must re-parse on every call, burning tokens and introducing hallucinations. FreshGeo caches typed responses, dedupes across sources, and returns a cache\_id per call so you can replay the exact response in evals or production retries. How do you stop a runaway agent from burning our budget? + Every agent or user session can have its own API key with a hard call cap, per-tool scope, and rate limits. Usage is visible per key in the dashboard, and overages are off by default — we hard-stop at your quota rather than send you a surprise invoice. ## Point your agent at _real data_. Free tier, no card. MCP server goes live the moment you get your key. UK-hosted, UK-supported, procurement-ready. Newsletter ### Monthly notes on agent data infrastructure. No spam, no product launches you don't care about. 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