The web, Indexing for AI Agents
Powering the future of AI with fast, high-quality and structured web search.
Thousands of companies search the web with Serpex
Frontier search powered by our AI research lab
Serpex's search engine is developed in-house, allowing for full controllability.
Independent Search Engines
[Low Latency <1s]
Methodology
We use a SingleStep harness that searches prompts directly with default settings. We pass the query and 10 search results to GPT-5 mini, with GPT-4o-mini grading the output for correctness.
FRAMES ↗
A dataset released by Google designed to test Retrieval-Augmented Generation (RAG) applications on factuality, retrieval accuracy, and reasoning.
Tip-of-the-Tongue
A benchmark for evaluating search engines on queries where users remember partial information about what they're looking for.
Seal0 ↗
Evaluates web search systems specifically against conflicting, noisy, and ambiguous information.
SimpleQA ↗
A factuality benchmark released by OpenAI that measures the ability for language models to answer short, fact-seeking questions.
Engineered for unmatched scale.
0+
Web pages indexed by Serpex (and counting)
State-of-the-art
Accuracy
Flexible
Pricing
Sub-second
Latency
99.9%
uptime, SLA-
backed
Enterprise
Security
Search at the Speed of Thought
curl 'https://api.serpex.io/v1/search' \ -H 'Authorization: Bearer sk-...' \ -G \ --data-urlencode 'ns=knowledge.medical' \ --data-urlencode 'q=Phase III trials GLP-1 agonists active enrollment' \ --data-urlencode 'fields=nct_id,trial_phase,condition_name,issuing_org' \ --data-urlencode 'limit=5'{ "namespace": "knowledge.medical", "total_hits": 847,← namespace-aware routing "latency_ms": 71, "results": [ { "nct_id": "NCT05536141", "trial_phase": "Phase III",← typed schema fields — not "snippet" "condition_name": "Type 2 Diabetes Mellitus", "drug_name": "semaglutide", "drug_class": "GLP-1 receptor agonist", "trial_status": "Recruiting", "issuing_org": "WHO", "evidence_level": "Grade A",← domain authority score built in "mesh_terms": ["Semaglutide", "Glucagon-Like Peptide-1 Receptor"],← taxonomy-specific metadata "relevance_score": 0.94 } ]}Build the future of AI apps
with Serpex
We are developing the right tools for your team across the entire AI lifecycle.
Industry-leading web index built for agents
ENTITIES
KNOWLEDGE
STREAMS
CODE
MEDIA
Engineering Excellence
System Architecture
Billion-Scale Engine
A custom distributed indexing architecture capable of ingesting and querying billions of documents in real-time.
Read ResearchContent Processing
Our proprietary pipeline employs advanced heuristics to filter noise and ensure high-quality indexing.
Read ResearchSub-Millisecond Latency
Relentless networking optimizations achieve sub-millisecond query routing and unprecedented response times.
Read ResearchLoved by AI-native companies
See why the top AI companies are switching to Serpex for their retrieval needs.
"Serpex completely changed how we train our models. The web index is incredibly comprehensive and the data is always fresh."
Alex Chen, CEO at TechCorp
"The search latency is mind-blowing. We needed real-time retrieval for our agents, and Serpex delivered beyond expectations."
Dan Miller, CTO at SecureNet
"We replaced our entire crawling infrastructure with Serpex. It saved us hundreds of engineering hours and significantly reduced costs."
Stephanie Lin, COO at InnovateCo
"The structured entities make it so easy to extract company and product data. Our AI agents are now 10x more accurate."
Marie Dubois, Head of AI at FuturePlanning
"Hands down the best search API on the market. The documentation is crystal clear and integration took literally minutes."
Andre Gomez, Lead Engineer at CreativeSolutions
"Serpex handles the scale of our queries effortlessly. We process millions of searches daily without a single hiccup."
Jeremy Scott, Product Manager at TimeWise
"The relevance of the search results is unmatched. Our RAG pipelines have never been more accurate and reliable."
Pam Beesly, AI Researcher at BrandBuilders
"Access to real-time news streams has completely transformed our financial analysis tools. It's a game changer for us."
Daniel Kim, Data Scientist at AnalyticsPro
"Finally, a search engine built specifically for developers and AI agents. It's exactly what the industry has been waiting for."
Fernando Ruiz, Founder at UserFirst
"The quality of the code documentation index is fantastic. It powers our coding assistant and the results are always spot on."
Andy Bernard, DevOps Engineer at CloudMasters
Frequently Asked Questions
We've Got the Answers You're Looking For
Have any more questions? Contact usA traditional search engine treats its index as one giant flat table of documents, which works for humans scanning results. AI agents, however, need structured data. The data lake model classifies the web into zones (Entities, Knowledge, Streams, Code, Media) so AI systems get exactly the typed, structured knowledge they need.
Build something that
knows
things.
1,000 free queries to get started. No credit card required.