{"slug":"exa","name":"Exa","domain":"exa.ai","verdict":"As of 2026-07-13, ChatGPT, Claude, Gemini, Grok collectively rank Exa first for web search api for ai agents (one of 4 leaderboards it appears on). Source: https://modelsagree.com/product/exa (modelsagree.com, CC BY 4.0).","best_rank":1,"categories":4,"brief":{"category":"best-web-search-api-for-ai-agents","title":"Best web search API for AI agents","rank":1,"of":8,"top":null,"day":"2026-07-16","why":[{"t":"semantic and neural search","m":["ChatGPT","Grok","Claude","Gemini"],"q":"excellent semantic and keyword retrieval"},{"t":"full-page contents and highlights","m":["ChatGPT","Grok","Claude"],"q":"returns full page contents and highlights natively"},{"t":"suited to agent research tasks","m":["ChatGPT","Grok","Claude","Gemini"],"q":"uniquely suited to agent research tasks beyond keyword lookup"},{"t":"discovery and complex research","m":["Grok","Claude","Gemini"],"q":"unmatched for discovery and complex research"}],"gap":[],"fix":[{"t":"higher cost for heavy usage","m":["ChatGPT","Grok"],"q":"Higher cost for heavy usage"},{"t":"improve freshness for breaking-news","m":["Claude"],"q":"Improve freshness and latency for breaking-news and time-sensitive queries"},{"t":"lower API latency","m":["Claude","Gemini"],"q":"Lower the average API latency"}]},"entries":[{"slug":"best-web-search-api-for-ai-agents","title":"Best web search API for AI agents","rank":1,"of":8,"score":18,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":2,"Gemini":2,"Grok":1},"reason":"Best overall and a near-tie with Brave: excellent semantic and keyword retrieval, fresh crawling, full-page text, highlights, filters, low latency, and generous free usage make it unusually complete for RAG and agents","reasons":[{"model":"ChatGPT","reason":"Best overall and a near-tie with Brave: excellent semantic and keyword retrieval, fresh crawling, full-page text, highlights, filters, low latency, and generous free usage make it unusually complete for RAG and agents"},{"model":"Grok","reason":"Built specifically for AI/LLMs with semantic/neural search, token-efficient dense summaries/highlights from full pages, multiple search types (fast to deep research) optimized for agent latency-quality tradeoffs, excellent for RAG/research agents with high relevance on conceptual queries; assumptions include priority on LLM-native outputs over raw SERPs."},{"model":"Claude","reason":"Owns a neural/embeddings-based index enabling true semantic search (\"companies like X\", \"papers about Y\"), returns full page contents and highlights natively, and its category/similarity search is uniquely suited to agent research tasks beyond keyword lookup"},{"model":"Gemini","reason":"Its neural, embedding-based search allows agents to search based on semantic meaning and intent rather than keywords, making it unmatched for discovery and complex research."}],"fixes":[{"model":"ChatGPT","fix":"Costs rise when retrieving many pages, and its ranking can underperform conventional search on navigational or highly local queries"},{"model":"Claude","fix":"Improve freshness and latency for breaking-news and time-sensitive queries where keyword engines still beat its neural index"},{"model":"Gemini","fix":"Lower the average API latency to better suit high-frequency, real-time agentic loops."},{"model":"Grok","fix":"Higher cost for heavy usage and less ideal for pure high-volume cheap Google SERP scraping."}],"updated":"2026-07-13","rank_history":{"days":["2026-07-12","2026-07-13"],"ranks":[2,1]},"api":"https://modelsagree.com/api/v1/best/best-web-search-api-for-ai-agents.json"},{"slug":"best-deep-research-api-for-agents","title":"Best deep research API for agents","rank":2,"of":9,"score":11,"appearances":4,"modelRanks":{"ChatGPT":3,"Claude":3,"Gemini":5,"Grok":2},"reason":"Purpose-built semantic search with tailored latency profiles (instant to 12-40s deep reasoning), token-efficient outputs, strong on technical/docs/code queries, crawling integration, and agent-specific features; consistently top-tier in independent agentic benchmarks and widely adopted for RAG/agent pipelines.","reasons":[{"model":"Grok","reason":"Purpose-built semantic search with tailored latency profiles (instant to 12-40s deep reasoning), token-efficient outputs, strong on technical/docs/code queries, crawling integration, and agent-specific features; consistently top-tier in independent agentic benchmarks and widely adopted for RAG/agent pipelines."},{"model":"ChatGPT","reason":"Exceptional value at $0.012–$1 per run, fast independent web retrieval, parallel subagents, structured cited outputs, and especially strong entity discovery and enrichment; close to Gemini for web-first workloads"},{"model":"Claude","reason":"Agent-native by design — async research tasks that return schema-conforming JSON instead of prose, built on Exa's own neural/keyword index, so agents can consume results programmatically without parsing markdown; pricing scales to production volumes and the same key covers search/contents primitives when you want to build your own loop."},{"model":"Gemini","reason":"Uses a custom neural search index to find content semantically, letting agents search with natural language or URL embeddings rather than relying on brittle keywords."}],"fixes":[{"model":"ChatGPT","fix":"It is newer and less independently validated for nuanced long-form synthesis than the established frontier research agents"},{"model":"Claude","fix":"Report-style synthesis depth is weaker than frontier-model pipelines — it is not for long-form, nuanced narrative research deliverables meant for human readers."},{"model":"Gemini","fix":"Unreliable for hyper-specific keyword or real-time factual queries, and provides less robust raw extraction than dedicated scrapers."},{"model":"Grok","fix":"Weaker on highly specialized proprietary/domain data (e.g., finance/medical filings) and freshness for ultra-time-sensitive info compared to competitors with broader structured sources."}],"updated":"2026-07-15","rank_history":{"days":["2026-07-12","2026-07-13","2026-07-15"],"ranks":[1,3,2]},"api":"https://modelsagree.com/api/v1/best/best-deep-research-api-for-agents.json"},{"slug":"best-web-search-and-scraping-api-for-ai-agents","title":"Best web search and scraping API for AI agents","rank":3,"of":8,"score":14,"appearances":4,"modelRanks":{"ChatGPT":2,"Claude":3,"Gemini":3,"Grok":2},"reason":"Excellent semantic and deep-search retrieval, especially for research, RAG, similar-page discovery, and returning useful full text or highlights rather than thin SERP snippets; near-tied with Tavily and often better on concept-heavy queries","reasons":[{"model":"ChatGPT","reason":"Excellent semantic and deep-search retrieval, especially for research, RAG, similar-page discovery, and returning useful full text or highlights rather than thin SERP snippets; near-tied with Tavily and often better on concept-heavy queries"},{"model":"Grok","reason":"Neural semantic search engine trained on link prediction delivering highly relevant, context-aware results with structured outputs, highlights, or full text; excels at research-grade discovery, semantic RAG grounding, and technical/academic agent workflows with fast responses."},{"model":"Claude","reason":"neural, embeddings-based index designed for the semantic queries agents actually emit (\"companies building agent infra\"), returning full-page contents and highlights in one call — the strongest fit for research- and discovery-style agents, with keyword fallback added for coverage."},{"model":"Gemini","reason":"Its neural, vector-based search paradigm allows agents to perform highly semantic, intent-driven searches rather than keyword matching, returning pre-extracted clean content directly."}],"fixes":[{"model":"ChatGPT","fix":"Its neural ranking can favor semantically relevant niche pages over the most authoritative or conventional sources, so it is not ideal when classic search ordering is essential"},{"model":"Claude","fix":"its index is far smaller than Google's — weak on long-tail, local, and transactional lookups, so it complements rather than replaces a SERP-based API."},{"model":"Gemini","fix":"Traditional keyword queries or exact phrase matches perform poorly, requiring agents to rewrite standard search queries into descriptive natural language prompts."},{"model":"Grok","fix":"Broaden index coverage and result diversity for more commercial, news, and general web content beyond research-focused domains."}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-12","2026-07-13","2026-07-14","2026-07-15"],"ranks":[2,3,2,3,2,3,3,3,3]},"api":"https://modelsagree.com/api/v1/best/best-web-search-and-scraping-api-for-ai-agents.json"},{"slug":"best-search-api-for-apps","title":"Best search API for apps","rank":6,"of":12,"score":4,"appearances":1,"modelRanks":{"ChatGPT":2},"reason":"Best for semantic and research-heavy AI apps; retrieves by meaning, returns clean page contents, supports similarity search and deep research, and narrowly beats Tavily when source discovery matters most","reasons":[{"model":"ChatGPT","reason":"Best for semantic and research-heavy AI apps; retrieves by meaning, returns clean page contents, supports similarity search and deep research, and narrowly beats Tavily when source discovery matters most"}],"fixes":[{"model":"ChatGPT","fix":"Cost and latency can climb when requesting contents or multi-step research, and it is not the best fit for conventional keyword SERPs"}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-14","2026-07-15"],"ranks":[null,null,null,null,2,null,6]},"api":"https://modelsagree.com/api/v1/best/best-search-api-for-apps.json"}],"page":"https://modelsagree.com/product/exa","check":"https://modelsagree.com/check?q=Exa","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}