
Build an AI agent that tests mobile usability, detects viewport and touch target issues, and recommends fixes using Keiro and Lighthouse.

Build an AI agent that measures Core Web Vitals, detects performance regressions, and recommends optimizations using Keiro and Lighthouse.

Build an AI agent that crawls websites, detects technical SEO issues, and generates fix recommendations using Keiro and automated crawling.

Build an AI agent that monitors local search rankings, tracks Google Business Profile changes, and finds local citation opportunities using Keiro.

Build an AI agent that monitors search rankings, detects position changes, and alerts on competitor movements using Keiro and SERP tracking.

Build an AI agent that finds content gaps between your site and competitors, identifies missing topics, and prioritizes creation using Keiro and semantic analysis.

Build an AI agent that discovers keywords, analyzes search intent, estimates difficulty, and finds content opportunities using Keiro and SERP analysis.

Build an AI agent that discovers backlinks, evaluates quality, finds toxic links, and monitors link profiles using Keiro and SEO APIs.

Build an AI agent that audits websites for technical SEO issues, generates fix recommendations, and monitors improvements using Keiro and web crawling.

Build an AI agent that checks website uptime, measures response times, and alerts on downtime using Keiro and synthetic checks.

Build an AI agent that monitors API latency, error rates, and throughput using Keiro and synthetic testing.

Build an AI agent that monitors query performance, detects slow queries, and recommends optimizations using Keiro and database metrics.

Build an AI agent that ingests logs, detects anomalies, and correlates events across systems using Keiro and log parsing pipelines.

Build an AI agent that monitors network traffic, detects anomalies, and generates alerts using Keiro and network data APIs.

Build an AI agent that researches malware families, finds analysis reports, and extracts TTPs using Keiro and automated research pipelines.

Build an AI agent that collects, correlates, and analyzes threat intelligence from multiple sources using Keiro and structured analytics.

Build an AI agent that monitors CVE databases, security advisories, and exploit news using Keiro and automated alerting.

Build an AI agent that synthesizes user interviews, finds pain points, and generates insight reports using Keiro and qualitative analysis.

Build an AI agent that reads feature requests, clusters by theme, scores by impact, and ranks priorities using Keiro and NLP.

Build an AI agent that reads bug reports, finds duplicates, suggests fixes, and routes to the right team using Keiro and NLP.

Build an AI agent that finds code examples, explains them, and generates working implementations using Keiro and code search APIs.

Build an AI agent that searches docs, finds code examples, and answers technical questions using Keiro and RAG.

Build an AI agent that tracks funding rounds, investor activity, and valuation trends using Keiro and structured data pipelines.

Build an AI agent that automates due diligence research on companies, founders, and markets using Keiro and structured reporting.

Build an AI agent that gathers open source intelligence from public data sources using Keiro and autonomous research patterns.

Build an AI agent that tracks community discussions, finds trending topics, and identifies developer advocates using Keiro and LlamaIndex.

Build an AI agent that searches your docs, finds answers, and drafts support replies using Keiro and RAG.

Build an AI agent that researches prospects, finds trigger events, and drafts personalized outreach using Keiro and CrewAI.

Build an AI agent that monitors news sources, filters by relevance, and generates summaries in real time using Keiro and LangChain.

Find podcasts, analyze episodes, and generate guest pitches automatically. Build an agent that researches podcast audiences and topics with Keiro.

Detect crises before they explode. Build an agent that monitors negative signals, maps spread velocity, and generates response recommendations.

Churn signals hide in reviews, support tickets, and competitor offers. Build an agent that searches for churn risk signals and predicts which customers will leave.

Regulations change constantly. Build an agent that monitors regulatory updates, extracts requirements, and flags compliance gaps automatically.

Product managers need competitive intel, feature gaps, and user sentiment. Build an agent that researches products, extracts features, and maps positioning.

Research stocks, crypto, and macro trends automatically. Build an agent that searches financial data, extracts signals, and generates investment memos.

Know when your brand hits the news. Build an agent that monitors press coverage, tracks share of voice, and alerts on crisis signals.

Track brand sentiment across the web in real time. Build a pipeline that searches mentions, classifies sentiment, and alerts on negative spikes.

Plan trips automatically. Build an agent that searches flights, hotels, activities, and local guides to generate personalized itineraries.

Patent research is slow and expensive. Build an agent that searches USPTO, EPO, and WIPO data, extracts claims, and maps technology landscapes.

Content marketers need trending topics, keyword data, and competitor content gaps. Build an agent that researches, outlines, and drafts blog posts automatically.

Track competitors automatically. Build an agent that searches news, job postings, and product launches to generate weekly intelligence reports.

Sourcers spend hours finding candidates. Build an agent that searches profiles, extracts skills, and writes outreach messages with personalized icebreakers.

Real estate agents need comps, market trends, and zoning data instantly. Build a research agent that searches listings, extracts prices, and generates investment briefs.

Build a Slack bot that answers team questions with real-time web search. Uses Keiro, Bolt for Python, and OpenAI for synthesis.

News moves fast. Build an agent that searches breaking stories, extracts key facts, and writes a briefing in under 10 seconds.

RAG pipelines can get expensive. Learn how to cut costs by 60% with caching, smaller models, query routing, and smart retrieval strategies.

RAG accuracy is not one number. Learn how to measure retrieval quality, answer faithfulness, and end-to-end correctness with benchmarks and custom datasets.

Customer support chatbots powered by RAG answer questions from your docs in real time. Learn how to build one with Keiro, a vector database, and an LLM.

RAG pipelines break silently. Learn how to monitor latency, retrieval accuracy, hallucination rate, and user satisfaction with dashboards and alerts.

Users do not trust AI answers without sources. Learn how to implement source attribution in RAG so every claim links to the original document or web page.

Medical research agents scan PubMed, clinical trials, and medical news to answer clinician questions. Learn how to build one with Keiro that cites every paper.

The embedding model is the brain of your RAG pipeline. We compare the top models by accuracy, speed, and cost and give you a decision framework.

Repeated searches burn credits. Learn how to cache search results with Redis, in-memory stores, and disk-based caches to cut API costs by up to 60%.

Legal research agents find case law, statutes, and commentary in seconds. Learn how to build one with Keiro that cites every source and flags conflicting precedents.

Rate limits break production workflows. Learn how to handle 429 errors, implement exponential backoff, and use batch endpoints to stay within limits.

Finance research agents scan earnings, macro data, and news in real time. Learn how to build one with Keiro, Python, and an LLM that cites every source.

LlamaIndex simplifies RAG pipelines. Integrating Keiro as a retriever gives you real-time web data inside any LlamaIndex query engine.

Adding web search to a LangChain agent lets it answer real-time questions beyond its training data. Learn how to build a ReAct agent with Keiro search in under 50 lines of Python.

Keiro is the best search API for JavaScript and TypeScript developers — native npm package, TypeScript definitions, and works in Node.js, Deno, and the browser.

Keiro is the best search API for Python developers — native SDK, asyncio support, and 6x cheaper than Exa. Full Python tutorial with code examples.

Keiro Flash delivers search results in ~300ms — perfect for autocomplete, typeahead, and live suggestion interfaces. Implementation guide with React.

Keiro’s content extraction turns messy HTML into clean, structured text. Learn the three extraction modes and when to use each one.
A full tutorial on building a Perplexity-style AI search application using Keiro's search and answer endpoints. Includes a complete Next.js frontend and API backend.

Process up to 10,000 search queries in a single batch job. Perfect for backfilling datasets, research pipelines, and content audits.

Tavily charges 8x more than Keiro. Here is how to migrate your Tavily integration in under an hour with Python and JavaScript code examples.
Learn how to use Keiro's /web-crawler endpoint to extract clean, structured content from any web page for use in AI applications.

Migrating from Exa to Keiro takes under an hour. Same REST pattern, better pricing, faster latency, and built-in content extraction.

Make your first Keiro API call in under 5 minutes. Get your API key, run a search, and extract content with curl and Python examples.
Learn how to build an autonomous AI research agent that uses Keiro's research and search endpoints to investigate topics, synthesize findings, and produce reports.

A complete guide to integrating Keiro's AI search API as a LangChain tool — with agent code, streaming, and multi-tool examples.
Learn how to use Keiro as a LangChain tool for search, research, and answer generation. Full code examples for agents, chains, and retrieval.
Learn how to integrate real-time web search into any LLM application using the Keiro API. Step-by-step guide with Python and JavaScript examples.
A step-by-step tutorial to build a production-ready Retrieval-Augmented Generation pipeline using Keiro's search API and OpenAI, complete with Python code.

A step-by-step guide to building a production-ready RAG pipeline using Keiro's search and content extraction API. Includes Python code you can copy-paste.
Build your own AI search engine like Perplexity.
Step-by-step guide to integrating real-time web search into your LLM application.
Learn how to build production-ready RAG (Retrieval Augmented Generation) pipelines using Keiro API. Step-by-step tutorial with code examples.
Learn why modern AI chatbots require access to real-time web data and how to implement it using web search APIs like Keiro.

Build an AI agent that audits websites for WCAG compliance, detects accessibility issues, and recommends fixes using Keiro and axe-core.

Build an AI agent that runs automated cross-browser tests, detects visual differences, and reports compatibility issues using Keiro and Playwright.

Build an AI agent that captures screenshots, detects visual differences, and alerts on unintended UI changes using Keiro and pixel comparison.

Build an AI agent that runs load tests, detects performance bottlenecks, and recommends infrastructure changes using Keiro and k6.

Build an AI agent that runs chaos experiments, detects reliability weaknesses, and recommends resilience improvements using Keiro and fault injection.

Build an AI agent that monitors cloud spending, detects waste, and recommends savings using Keiro and cloud billing APIs.
Join thousands of developers using Keiro to power their AI applications — 10× cheaper than the alternatives with superior performance.
Start free trial