What a raw ad-library scraper will never give you.
Claude↗
ChatGPT↗
Read the docsDocs↗
Official data providerData Provider↗
Open the platform↗
Claude
When you're working across multiple brands, there's simply too much creative and market data to analyze manually. Upspring gives us the context we need across clients and their markets without adding more manual work.
MattChief Strategy Officer
The MCP connection changed how quickly we work. We used to reason about our own campaigns in isolation; now we can see what the wider industry is running and bring that into the decision. More context, less time getting to it.
RoniFounder
Upspring gives us a much clearer view of what's happening across a category. Instead of going through competitors one by one, we can quickly understand the players, messaging, and creative patterns shaping the market.
AndrewCo-founder
We use Upspring to enrich the advertisers and ads inside our own product. It gives us a much deeper data layer without having to build and maintain the collection and creative processing ourselves.
TamirFounder
What I like about Upspring is that it doesn't try to replace how we think or work. It gives our AI the creative context it was missing, and lets us use that inside the workflows we already have.
ArshFounder
The real value is having our own creative and the market in the same context. We can see what competitors are doing that we aren't, where we're over-indexing, and where there's room to explore something different.
TomerHead of Creative Production
Upspring gave us the creative data layer we didn't want to build ourselves. The ads are already collected, processed, and ready for our AI to reason over, so we can focus on the product and intelligence we build on top.
GiladCo-founder
See what your AI has been missing.
What is the Upspring API?
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.
How is Upspring different from a scraper or ad-library API?
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. See the full comparison.
What does Upspring give besides ad analysis?
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.
How does Upspring enrich advertisers?
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.
How do you get sentiment?
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.
How does Upspring rank ads?
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.
Does Upspring have an MCP server?
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.
How do I get a key?
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.