Official data provider
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Every ad as text, every advertiser enriched. The competitive edge your agents run on.
Search a brand to see how your agent reads their whole ad library: scale grades, buyer personas, messaging angles, competitors.
A read-only REST API over Upspring's advertiser database: every ad and every advertiser, pre-analyzed and LLM-ready, with rich enrichment on any advertiser. Your code (or agent) queries the analyzed answer as plain JSON. No LLM needed on your side.
A scraper hands you raw media and metadata. You still pay to analyze all of it. Upspring hands you the analyzed answer: every ad as text (hooks, scenes, creative DNA) and every advertiser enriched with spend, traffic, sales scale, sentiment and personas. Raw ads versus competitive intelligence.
Beyond each ad's creative breakdown, you also get the offer and product behind it, landing-page coherence (does the page deliver what the ad promises), advertiser briefs, and similar ads and advertisers, plus full per-advertiser enrichment.
We collect everything publicly available on a brand, enrich it with third-party data sources, and combine it with our internal dataset of advertisers to build estimation models for spend, traffic, sales scale and more.
We read what real customers say across sources like Reddit, plus the advertiser's own site and reviews, and distill it into a sentiment score and the recurring themes behind it.
We score every ad with an internal model trained on millions of ads, combined with third-party data enrichment, so the ranking reflects real engagement signals, not just how long an ad has been running.
Yes. Add the official Upspring MCP server to Claude Code, Claude Desktop, Cursor, or any MCP client, and advertiser intelligence becomes native tools your agent can call. See the MCP section above.
Head to the docs and console to get started, or book a demo and we'll get you set up. Self-serve signup is coming.