Alternatives to Keenable
Compare Keenable alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Keenable in 2026. Compare features, ratings, user reviews, pricing, and more from Keenable competitors and alternatives in order to make an informed decision for your business.
-
1
Pinecone
Pinecone
The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely. -
2
AnyCrawler
AnyCrawler
AnyCrawler is a web access infrastructure for AI products, giving AI agents, RAG systems, research tools, and automation products one production API for live web search, page fetch, browser rendering, Markdown extraction, screenshots, and traceable usage fields. It is designed to turn live web pages into structured AI context by fetching static pages, rendering JavaScript-heavy sites, removing noisy HTML, and returning Markdown, metadata, links, and clean output through a single API. AnyCrawler helps teams add web discovery before crawling, starting from a query to discover candidate pages, news, images, videos, or scholarly sources, then routing the strongest results into crawl, render, or screenshot workflows. Instead of sending raw HTML, scripts, navigation, and layout noise into downstream models, AnyCrawler turns web pages into clean, structured Markdown so AI systems receive usable context.Starting Price: $5 per month -
3
Crawleo
Crawleo
Crawleo is a privacy-first real-time web search and crawling API for AI applications. It lets developers search the live web, crawl specific URLs, and extract clean AI-ready content through simple API endpoints. The Search API returns structured web results and can optionally auto-crawl result pages. The Crawler API lets users crawl one or multiple URLs directly. Crawleo supports outputs such as Markdown, plain text, cleaned HTML, and raw HTML, making the data easy to use in LLM prompts, RAG pipelines, AI agents, automation workflows, research tools, and internal dashboards. It also supports REST API access, MCP integration for AI assistants and IDEs, and LangChain tools for agentic and RAG-based applications.Starting Price: $20/month -
4
Restructured
Kolena
Restructured is an AI-powered platform designed to help businesses extract insights from unstructured data at scale. Whether dealing with documents, images, audio, or video, it combines LLM capabilities with advanced search and retrieval methods to not only index information but also understand it in context. Restructured transforms massive datasets into actionable insights, making complex data easy to navigate and analyze.Starting Price: $99/user/month -
5
Geekflare
Geekflare
Geekflare is a cloud-based REST API suite that lets developers pull structured data from the web. Scraping, searching, and extracting content in formats ready for AI applications, automation scripts, and monitoring tools. Instead of building and maintaining your own scraping stack, Geekflare handles proxy rotation, CAPTCHA solving, and JavaScript rendering. The platform returns output as clean Markdown or JSON, making it well suited for feeding LLMs, RAG systems, and AI agents, as well as more traditional use cases like SEO auditing, competitor monitoring, and domain verification. Included APIs: - Web Scraping (with JS rendering support) - Search (real-time, agent-ready web search) - Screenshot (full-page, pixel-accurate captures) - Meta Scraping (Open Graph tags, JSON-LD, page metadata) - DNS Lookup (A, MX, TXT, SPF, DKIM, DMARC records) - Redirect Checker (full redirect chain tracing)Starting Price: $19/month -
6
Actionbase
Actionbase
Work with the internet as if it were your own API. Programmatically interact with top sites without worrying about brittle or complex automation scripts. The web action SDK is a powerful tool that allows you to interact with various web platforms programmatically. With this SDK, you can automate tasks, retrieve information, and perform actions on popular websites as if you were using them directly through a browser. Interact with various platforms like LinkedIn, Amazon, Uber, and Resy. Simple to integrate into your existing Node.js or TypeScript projects. Built with TypeScript for enhanced developer experience and code reliability. Perform a wide range of actions, from searching for items to booking reservations. Each platform offers a set of specific actions that you can perform. For example, with LinkedIn, you can send messages, search for users, and manage connections. -
7
Jina Reranker
Jina
Jina Reranker v2 is a state-of-the-art reranker designed for Agentic Retrieval-Augmented Generation (RAG) systems. It enhances search relevance and RAG accuracy by reordering search results based on deeper semantic understanding. It supports over 100 languages, enabling multilingual retrieval regardless of the query language. It is optimized for function-calling and code search, making it ideal for applications requiring precise function signatures and code snippet retrieval. Jina Reranker v2 also excels in ranking structured data, such as tables, by understanding the downstream intent to query structured databases like MySQL or MongoDB. With a 6x speedup over its predecessor, it offers ultra-fast inference, processing documents in milliseconds. The model is available via Jina's Reranker API and can be integrated into existing applications using platforms like Langchain and LlamaIndex. -
8
Marqo
Marqo
Marqo is more than a vector database, it's an end-to-end vector search engine. Vector generation, storage, and retrieval are handled out of the box through a single API. No need to bring your own embeddings. Accelerate your development cycle with Marqo. Index documents and begin searching in just a few lines of code. Create multimodal indexes and search combinations of images and text with ease. Choose from a range of open source models or bring your own. Build interesting and complex queries with ease. With Marqo you can compose queries with multiple weighted components. With Marqo, input pre-processing, machine learning inference, and storage are all included out of the box. Run Marqo in a Docker image on your laptop or scale it up to dozens of GPU inference nodes in the cloud. Marqo can be scaled to provide low-latency searches against multi-terabyte indexes. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images.Starting Price: $86.58 per month -
9
Oracle AI Vector Search
Oracle
Oracle AI Vector Search is a capability within Oracle Database designed for AI workloads that enables querying data based on semantics or meaning rather than traditional keyword matching. It allows organizations to search both structured and unstructured data using similarity search, making it possible to retrieve results based on contextual relevance instead of exact values. It uses vector embeddings to represent data such as text, images, or documents, and applies specialized vector indexes and distance functions to efficiently identify similar items. It introduces a native VECTOR data type, along with SQL operators and syntax that allow developers to combine semantic search with relational queries on business data in a single database environment. This eliminates the need for separate vector databases and reduces data fragmentation by keeping AI and operational data unified. -
10
Actian VectorAI DB
Actian
Actian VectorAI DB is a portable, local-first vector database designed for AI systems that need to run close to their data, including edge, on-premises, and hybrid environments. It enables developers to deploy semantic search, retrieval-augmented generation (RAG), and AI-powered applications without relying on cloud infrastructure, avoiding latency, network dependency, and per-query costs. It provides native vector storage and high-performance similarity search using techniques such as approximate nearest neighbor indexing and algorithms like HNSW, allowing efficient retrieval across large embedding datasets while balancing speed and accuracy. It delivers low-latency search directly on devices ranging from laptops to embedded systems like Raspberry Pi, supporting real-time decision-making and autonomous behaviors without a network round-trip. -
11
Agent Search on Gemini Enterprise Agent Platform is a powerful solution designed to deliver Google-quality search experiences using enterprise data. It enables developers to build advanced search systems for websites, structured datasets, and unstructured content quickly and efficiently. The platform enhances traditional keyword search by introducing conversational, generative AI-powered search capabilities. It also serves as an out-of-the-box retrieval augmented generation (RAG) system, improving the accuracy and relevance of AI-generated responses. Agent Search simplifies complex processes like data ingestion, indexing, and retrieval into a streamlined workflow. It supports industry-specific use cases, including healthcare, media, and commerce, with tailored search capabilities. Developers can further customize solutions using APIs for embeddings, ranking, and grounded generation. Overall, it helps organizations transform how users discover and interact with information.
-
12
UseScraper
UseScraper
UseScraper is a powerful web crawler and scraper API designed for speed and efficiency. By entering any website URL, users can retrieve page content in seconds. For those needing comprehensive data extraction, the Crawler can fetch sitemaps or perform link crawling, processing thousands of pages per minute using the auto-scaling infrastructure. The platform supports output in plain text, HTML, or Markdown formats, catering to various data processing needs. Utilizing a real Chrome browser with JavaScript rendering, UseScraper ensures the successful processing of even the most complex web pages. Features include multi-site crawling, exclusion of specific URLs or site elements, webhook updates for crawl job status, and a data store accessible via API. The service offers a pay-as-you-go plan with 10 concurrent jobs and a rate of $1 per 1,000 web pages, as well as a Pro plan for $99 per month, which includes advanced proxies, unlimited concurrent jobs, and priority support.Starting Price: $99 per month -
13
ScrapingAnt
ScrapingAnt
ScrapingAnt is an enterprise‑grade web scraping API that delivers mission‑critical speed, reliability, and advanced scraping capabilities through a single, easy‑to‑integrate RESTful interface. It combines scalable headless Chrome page rendering with unlimited parallel requests, all powered by a global pool of over three million low‑latency rotating residential and datacenter proxies. Its proprietary algorithm automatically switches to the optimal proxy for each task, ensuring seamless JavaScript execution, custom cookie management, and robust CAPTCHA avoidance. Built on high‑performance AWS and Hetzner servers, ScrapingAnt boasts 99.99% uptime and an 85.5% anti‑scraping avoidance rate. Developers can use any programming language to harvest LLM‑ready web data, scrape Google SERP results, or collect dynamic content behind Cloudflare and other anti‑bot protections without worrying about rate limits or infrastructure maintenance.Starting Price: $19 per month -
14
Vectara
Vectara
Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes. Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.Starting Price: Free -
15
ZeusDB
ZeusDB
ZeusDB is a next-generation, high-performance data platform designed to handle the demands of modern analytics, machine learning, real-time insights, and hybrid data workloads. It supports vector, structured, and time-series data in one unified engine, allowing recommendation systems, semantic search, retrieval-augmented generation pipelines, live dashboards, and ML model serving to operate from a single store. The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration. -
16
AI-Q NVIDIA Blueprint
NVIDIA
Create AI agents that reason, plan, reflect, and refine to produce high-quality reports based on source materials of your choice. An AI research agent, informed by many data sources, can synthesize hours of research in minutes. The AI-Q NVIDIA Blueprint enables developers to build AI agents that use reasoning and connect to many data sources and tools to distill in-depth source materials with efficiency and precision. Using AI-Q, agents summarize large data sets, generating tokens 5x faster and ingesting petabyte-scale data 15x faster with better semantic accuracy. Multimodal PDF data extraction and retrieval with NVIDIA NeMo Retriever, 15x faster ingestion of enterprise data, 3x lower retrieval latency, multilingual and cross-lingual, reranking to further improve accuracy, and GPU-accelerated index creation and search. -
17
Firecrawl
Firecrawl
Firecrawl is a web data platform that enables developers and AI applications to search, scrape, and interact with websites at scale through a unified API. The platform extracts clean, structured content from web pages and delivers it in formats such as Markdown, JSON, screenshots, and other machine-readable outputs. Designed specifically for AI agents, Firecrawl allows systems to access real-time web information, navigate websites, and automate data collection workflows. It supports advanced features including JavaScript rendering, smart waiting, media parsing, and interactive page actions such as clicking, typing, and scrolling. Developers can integrate Firecrawl quickly using SDKs, APIs, MCP clients, and open-source tools. Trusted by thousands of companies, the platform helps organizations build reliable AI-powered applications that depend on accurate and accessible web data.Starting Price: $16 per month -
18
SocialCrawl
Ridio
SocialCrawl is a unified social media data API for developers. Replace a dozen fragmented scrapers with one API key, one schema, and one credit system spanning 42 platforms and 264 endpoints — TikTok, Instagram, YouTube, Twitter/X, Reddit, Threads, LinkedIn, Facebook, Pinterest, Twitch, Amazon, Google Play, the App Store, Trustpilot, Naver and more. Every endpoint returns the same clean, enriched envelope: profiles, posts, comments, transcripts, ad libraries, product and app reviews, places. No per-platform auth, no brittle HTML parsing, no proxy management. The standout: GET /v1/search/everywhere — a universal social search that fans out across 12 platforms in parallel and returns LLM-ranked, clustered results in a single call. Nothing else searches social like it. Start free with 100 credits, no card required. Test any endpoint in the visual Explorer before writing a line of code. Native MCP server and agent skills included for AI builders.Starting Price: $19/month -
19
Skrape.ai
Skrape.ai
Skrape.ai is an AI-powered web scraping API designed to transform any website into clean, structured data or markdown, making it ideal for AI training, retrieval-augmented generation systems, and data analysis. The platform offers smart crawling capabilities, automatically navigating websites without sitemaps while respecting robots.txt directives. It supports full JavaScript rendering, handling single-page applications, and dynamic content loading seamlessly. Users can specify their desired data schema and receive structured data accordingly. Skrape.ai ensures real-time data retrieval without caching, providing fresh content with each request. The platform also allows for actions such as clicking buttons, scrolling, and waiting for content to load, enhancing its ability to interact with complex web pages. With a simple, transparent pricing model, Skrape.ai offers various plans to accommodate different project sizes and requirements, starting with a free tier.Starting Price: $15 per month -
20
ZeroEntropy
ZeroEntropy
ZeroEntropy is a search and retrieval platform built to deliver faster, more accurate, human-level search experiences. It provides cutting-edge rerankers, embeddings, and hybrid retrieval models that go beyond traditional lexical and vector search. ZeroEntropy focuses on understanding context, nuance, and domain-specific meaning rather than just keywords. Its models consistently outperform leading alternatives on industry benchmarks. Developers can integrate ZeroEntropy quickly using a simple, production-ready API. The platform is optimized for low latency, high accuracy, and cost efficiency. ZeroEntropy enables teams to ship search systems that actually return the right answers. -
21
ParseHub
ParseHub
ParseHub is a free and powerful web scraping tool. With our advanced web scraper, extracting data is as easy as clicking on the data you need. Trying to get data from complex and laggy sites? No worries! Collect and store data from any JavaScript and AJAX page. Easily instruct ParseHub to search through forms, open drop downs, login to websites, click on maps and handle sites with infinite scroll, tabs and pop-ups to scrape your data. Open a website of your choice and start clicking on the data you want to extract. It's that easy! Scrape your data with no code at all. Our machine learning relationship engine does the magic for you. We screen the page and understand the hierarchy of elements. You'll see the data pulled in seconds. Get data from millions of web pages. Enter thousands of links and keywords that ParseHub will automatically search through. Stay focused on your product and leave the infrastructure maintenance to us.Starting Price: $79 per month -
22
GNews API
GNews API
GNews API is a powerful RESTful news service that enables developers to search and retrieve current and historical worldwide articles in real time via simple HTTP GET requests returning JSON. It aggregates tens of millions of articles from over 60,000 global sources in 22 languages across 30 countries, continuously updating live feeds and retaining up to three years of archival data. An in-house deep-learning extractor ensures high-quality full-text retrieval, while a low-latency design delivers average response times of 100–200 ms. Users can perform advanced queries with logical operators and ten optional parameters to filter by keyword, language, country, or date range; endpoints support paging and content expansion. CORS-enabled for seamless integration in any programming environment, the API requires no crawler maintenance and offers guaranteed 99.9 % uptime.Starting Price: €49.99 per month -
23
VectorDB
VectorDB
VectorDB is a lightweight Python package for storing and retrieving text using chunking, embedding, and vector search techniques. It provides an easy-to-use interface for saving, searching, and managing textual data with associated metadata and is designed for use cases where low latency is essential. Vector search and embeddings are essential when working with large language models because they enable efficient and accurate retrieval of relevant information from massive datasets. By converting text into high-dimensional vectors, these techniques allow for quick comparisons and searches, even when dealing with millions of documents. This makes it possible to find the most relevant results in a fraction of the time it would take using traditional text-based search methods. Additionally, embeddings capture the semantic meaning of the text, which helps improve the quality of the search results and enables more advanced natural language processing tasks.Starting Price: Free -
24
Parallel
Parallel
The Parallel Search API is a web-search tool engineered specifically for AI agents, designed from the ground up to provide the most information-dense, token-efficient context for large-language models and automated workflows. Unlike traditional search engines optimized for human browsing, this API supports declarative semantic objectives, allowing agents to specify what they want rather than merely keywords. It returns ranked URLs and compressed excerpts tailored for model context windows, enabling higher accuracy, fewer search steps, and lower token cost per result. Its infrastructure includes a proprietary crawler, live-index updates, freshness policies, domain-filtering controls, and SOC 2 Type 2 security compliance. The API is built to fit seamlessly within agent workflows: developers can control parameters like maximum characters per result, select custom processors, adjust output size, and orchestrate retrieval directly into AI reasoning pipelines.Starting Price: $5 per 1,000 requests -
25
serpstack
serpstack
Serpstack is a real-time Google Search Engine Results Page (SERP) API that provides developers with structured search data in JSON or CSV formats. It supports a wide range of search result types, including organic listings, paid ads, images, videos, news, shopping, local results, and more. The API allows for customization of search queries based on parameters such as location, device type, language, and user agent, enabling precise targeting of search data. Serpstack employs a robust proxy network and CAPTCHA-solving technology to ensure reliable data retrieval without the need for manual intervention. It is designed for scalability, capable of handling high volumes of requests without queuing, making it suitable for both small-scale and enterprise-level applications. Developers can integrate the API using various programming languages with comprehensive documentation and code samples provided to facilitate implementation.Starting Price: $26.99 per month -
26
Exa
Exa.ai
The Exa API retrieves the best content on the web using embeddings-based search. Exa understands meaning, giving results search engines can’t. Exa uses a novel link prediction transformer to predict links which match the meaning of a prompt. For queries that need semantic understanding, search with our SOTA web embeddings model over our custom index. For all other queries, we offer keyword-based search. Stop learning how to web scrape or parse HTML. Get the clean, full text of any page in our index, or intelligent embeddings-ranked highlights related to a query. Select any date range, include or exclude any domain, select a custom data vertical, or get up to 10 million results..Starting Price: $100 per month -
27
Wafer
Wafer
Wafer delivers the fastest open source LLMs for enterprise through serverless and dedicated inference built for production AI workloads. Its serverless inference gives teams access to top open models with no infrastructure, no deployment overhead, and fast APIs, including GLM-5.2-Fast for low-latency inference with EAGLE speculative decoding and a per-stream throughput SLA, GLM-5.2 as a flagship model with stronger coding and reasoning capabilities, and more. Wafer’s technology uses agents that optimize inference across the stack, identifying and enhancing bottlenecks in orchestration, algorithms, serving engines, GPU kernels, and diverse hardware. It profiles the stack to see whether latency or throughput comes from scheduling, decoding, kernels, memory pressure, or hardware fit, then tries many paths and ships the measured winner. Instead of relying on a single switch or heuristic, Wafer searches model, engine, kernel, and hardware combinations.Starting Price: Free -
28
BGE
BGE
BGE (BAAI General Embedding) is a comprehensive retrieval toolkit designed for search and Retrieval-Augmented Generation (RAG) applications. It offers inference, evaluation, and fine-tuning capabilities for embedding models and rerankers, facilitating the development of advanced information retrieval systems. The toolkit includes components such as embedders and rerankers, which can be integrated into RAG pipelines to enhance search relevance and accuracy. BGE supports various retrieval methods, including dense retrieval, multi-vector retrieval, and sparse retrieval, providing flexibility to handle different data types and retrieval scenarios. The models are available through platforms like Hugging Face, and the toolkit provides tutorials and APIs to assist users in implementing and customizing their retrieval systems. By leveraging BGE, developers can build robust and efficient search solutions tailored to their specific needs.Starting Price: Free -
29
HARPA AI
HARPA AI
Integrate ChatGPT to Google Search, automate web monitoring tasks, and generate text with AI, from email replies to tweets and SEO articles. Show responses from ChatGPT alongside Google Search, extract & summarize pages, chat with AI. Track when any product is back on sale or its price drops on Amazon, AliExpress, Walmart, Ebay etc. Use one of 100+ page-aware commands for marketing, SEO, copywriting, HR, and engineering. Monitor your competitor websites for changes and get notified whenever they update. Generate any text content with AI, from Twitter and LinkedIn replies to emails and SEO-optimized articles. Automate website monitoring and build IFTTT chains with Make.com or custom webhooks. Segment your audience, research SEO keywords, create marketing strategies, and generate blog outlines and articles. Generate any type of text content, from Twitter tweets to YouTube video scripts and Amazon descriptions.Starting Price: Free -
30
Weaviate
Weaviate
Weaviate is an open-source, AI-native vector database for building search, RAG, and agentic AI applications. Store data objects alongside vector embeddings from your favorite ML models and scale seamlessly into billions of objects. Bring your own vectors or use built-in vectorization, then combine vector, keyword, and hybrid search for state-of-the-art results, even with filters. Pipe results through leading LLMs to power next-generation, retrieval-augmented experiences. Weaviate goes beyond the database: the Query Agent turns natural language into precise, cited queries, Engram provides managed memory for AI agents, and Weaviate Embeddings handles vectorization for you. Run it yourself under an open-source license, or use fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, and RBAC built in. Use any generative model with your own data to build chatbots, semantic search, recommendation, and agentic workflows.Starting Price: Free -
31
Progress Agentic RAG
Progress Software
Progress Agentic RAG is a SaaS Retrieval-Augmented Generation platform that automatically indexes, searches, and generates AI-powered insights from structured and unstructured business data, including documents, emails, video, slides, and more, by combining RAG with agentic workflows that reason, classify, summarize, and answer queries with traceable, verifiable results without requiring users to build and manage their own RAG infrastructure. Designed as a modular no-code RAG-as-a-Service solution, it accelerates AI readiness by letting organizations extract contextual intelligence and business knowledge using natural language queries and quality-driven output metrics while integrating with any leading Large Language Model (LLM) and supporting multilingual, multimodal content indexing and retrieval. Features include AI summarization and classification, generated Q&A from enterprise data, a Prompt Lab for validating LLM behavior with custom prompts.Starting Price: $700 per month -
32
SearchUnify
SearchUnify
SearchUnify is an enterprise Agentic AI platform that unifies enterprise knowledge and powers autonomous AI agents across the customer support lifecycle. Built on SearchUnifyFRAG™ (Federated Retrieval Augmented Generation) and Agentic RAG, it delivers contextually accurate, real-time responses across self-service, agent-assisted, and automated support workflows. Its product suite includes Cognitive Search, SearchUnifyGPT™, SUVA (Virtual Assistant), Knowbler, and Agent Helper. The Agentic AI Suite deploys eight specialized AI Agents handling case resolution, case classification, escalation management, knowledge management, case quality auditing, and L2 technical workflow automation. SearchUnify supports BYOLLM, enabling LLM flexibility without vendor lock-in, and uses Model Context Protocol (MCP) for secure enterprise integrations. A built-in governance layer provides role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2. -
33
Gemini 3.5 Flash-Lite
Google
Gemini 3.5 Flash-Lite is Google’s fastest model in the Gemini 3.5 series, designed for low-latency tasks and high-throughput developer workflows such as agentic search, document processing, coding, and large-scale data analysis. It delivers 350 output tokens per second and significantly improves on previous Flash-Lite generations in both quality and agentic performance. Developers can configure its thinking level to match the workload: minimal or low thinking supports fast execution for high-volume tasks, while higher thinking levels enable more complex, multi-step subagent workflows. Built-in computer-use capabilities allow the model to interact reliably with digital environments across supported surfaces. Gemini 3.5 Flash-Lite also advances coding, long-context understanding, and real-world task execution, outperforming Gemini 3.1 Flash-Lite across key evaluations and even surpassing Gemini 3 Flash on several agentic and software-engineering benchmarks.Starting Price: $0.30 per 1M input tokens -
34
Crawl4AI
Crawl4AI
Crawl4AI is an open source web crawler and scraper designed for large language models, AI agents, and data pipelines. It generates clean Markdown suitable for retrieval-augmented generation (RAG) pipelines or direct ingestion into LLMs, performs structured extraction using CSS, XPath, or LLM-based methods, and offers advanced browser control with features like hooks, proxies, stealth modes, and session reuse. The platform emphasizes high performance through parallel crawling and chunk-based extraction, aiming for real-time applications. Crawl4AI is fully open source, providing free access without forced API keys or paywalls, and is highly configurable to meet diverse data extraction needs. Its core philosophies include democratizing data by being free to use, transparent, and configurable, and being LLM-friendly by providing minimally processed, well-structured text, images, and metadata for easy consumption by AI models.Starting Price: Free -
35
Maguyva
Maguyva
Maguyva is agent-first code intelligence that gives AI coding tools a ranked map of a repository before they start editing. Teams connect GitHub repositories, and cloud pipelines parse, rank, and index symbols, dependencies, imports, semantic relationships, and cross-file structure, then keep the index current as code changes. Through one remote MCP integration, agents in Claude Code, Cursor, VS Code, Windsurf, Codex, Gemini CLI, and other compatible clients can query the same grounded context without installing a local indexer or changing editors. Its 11 MCP tools combine semantic, structural, graph, and text retrieval across five search modalities, returning ranked results instead of raw grep output. Agents can ask plain-language questions, locate important symbols, find patterns through AST-aware search, trace dependents, identify orphaned code, analyze a change’s blast radius, and assemble task context before touching a file.Starting Price: $19 per month -
36
Cohere Rerank
Cohere
Cohere Rerank is a powerful semantic search tool that refines enterprise search and retrieval by precisely ranking results. It processes a query and a list of documents, ordering them from most to least semantically relevant, and assigns a relevance score between 0 and 1 to each document. This ensures that only the most pertinent documents are passed into your RAG pipeline and agentic workflows, reducing token use, minimizing latency, and boosting accuracy. The latest model, Rerank v3.5, supports English and multilingual documents, as well as semi-structured data like JSON, with a context length of 4096 tokens. Long documents are automatically chunked, and the highest relevance score among chunks is used for ranking. Rerank can be integrated into existing keyword or semantic search systems with minimal code changes, enhancing the relevance of search results. It is accessible via Cohere's API and is compatible with various platforms, including Amazon Bedrock and SageMaker. -
37
CoreClaw
CoreClaw
CoreClaw is a no-code web data extraction platform that enables businesses to collect public information from websites, search engines, marketplaces, social media platforms, and business directories quickly and efficiently. The platform offers ready-to-use scraping workers for sources such as Google Maps, Google Search, Amazon, eBay, LinkedIn, Facebook, Instagram, and TikTok, allowing users to gather leads, product data, reviews, rankings, and market intelligence without coding skills. CoreClaw provides automated data collection with built-in proxy rotation, anti-blocking technology, and high-accuracy extraction capabilities to improve reliability. Users can export collected data in multiple formats, including CSV, Excel, JSON, and API integrations, making it easy to incorporate information into existing workflows. The platform operates on a pay-per-result pricing model, ensuring users only pay for successfully delivered data rather than monthly subscription fees.Starting Price: $3/month -
38
SerpWow
Traject Data
SerpWow is a comprehensive real-time SERP (Search Engine Results Page) data API that enables developers to retrieve structured search results from major search engines, including Google, Bing, Yahoo, Baidu, Yandex, Naver, Amazon, and eBay. The API delivers clean, human-readable data in JSON, CSV, or HTML formats, encompassing organic and paid search results, images, videos, news, shopping listings, and more. SerpWow supports location-specific targeting, allowing users to obtain search results tailored to specific geographic locations, down to the postal code level, and device types such as desktop, tablet, or mobile. It offers batch processing capabilities, enabling users to run up to 15,000 searches simultaneously and schedule recurring data collection tasks at hourly, daily, weekly, or monthly intervals. SerpWow's global infrastructure ensures high performance and reliability, with a reported uptime of 99.95%. -
39
Fetch Hive
Fetch Hive
Fetch Hive is a versatile Generative AI Collaboration Platform packed with features and values that enhance user experience and productivity: Custom RAG Chat Agents: Users can create chat agents with retrieval-augmented generation, which improves response quality and relevance. Centralized Data Storage: It provides a system for easily accessing and managing all necessary data for AI model training and deployment. Real-Time Data Integration: By incorporating real-time data from Google Search, Fetch Hive enhances workflows with up-to-date information, boosting decision-making and productivity. Generative AI Prompt Management: The platform helps in building and managing AI prompts, enabling users to refine and achieve desired outputs efficiently. Fetch Hive is a comprehensive solution for those looking to develop and manage generative AI projects effectively, optimizing interactions with advanced features and streamlined workflows.Starting Price: $49/month -
40
Mindcase
Mindcase
Mindcase provides web data APIs for AI agents, giving developers structured data from more than 25 public-facing sources through task-specific endpoints. Instead of building and maintaining individual scrapers, users can access ready-made APIs for platforms such as LinkedIn, Instagram, Facebook, X, TikTok, Reddit, YouTube, Google Maps, Amazon, Airbnb, Booking.com, Yelp, Indeed, Shopify, and others. Each API is designed around a specific job, such as extracting LinkedIn profiles and company employees, collecting social posts and engagement metrics, finding Google Maps places with ratings and contact details, or retrieving product and marketplace data. Runs can be started from the web console, through the developer API, by copying a prompt, or by connecting Mindcase through MCP to AI agents and coding environments. The console provides access to available APIs, run history, API keys, records returned, and execution details.Starting Price: $19.99 per month -
41
Amazon S3 Vectors
Amazon
Amazon S3 Vectors is the first cloud object store with native support for storing and querying vector embeddings at scale, delivering purpose-built, cost-optimized vector storage for semantic search, AI agents, retrieval-augmented generation, and similarity-search applications. It introduces a new “vector bucket” type in S3, where users can organize vectors into “vector indexes,” store high-dimensional embeddings (representing text, images, audio, or other unstructured data), and run similarity queries via dedicated APIs, all without provisioning infrastructure. Each vector may carry metadata (e.g., tags, timestamps, categories), enabling filtered queries by attributes. S3 Vectors offers massive scale; now generally available, it supports up to 2 billion vectors per index and up to 10,000 vector indexes per bucket, with elastic, durable storage and server-side encryption (SSE-S3 or optionally KMS). -
42
Olostep
Olostep
Olostep is a web-data API platform built for AI and developer use, enabling fast, reliable extraction of clean, structured data from public websites. It supports scraping single URLs, crawling an entire site’s pages (even without a sitemap), and submitting batches of up to ~100,000 URLs for large-scale retrieval; responses can include HTML, Markdown, PDF, or JSON, and custom parsers let users pull exactly the schema they need. Features include full JavaScript rendering, use of premium residential IPs/proxy rotation, CAPTCHA handling, and built-in mechanisms for handling rate limits or failed requests. It also offers PDF/DOCX parsing and browser-automation capabilities like click, scroll, wait, etc. Olostep handles scale (millions of requests/day), aims to be cost-effective (claiming up to ~90% cheaper than existing solutions), and provides free trial credits so teams can test its APIs first.Starting Price: $9 per month -
43
Hexomatic
Hexact
Create your own bots in minutes to extract data from any website and leverage 60+ ready-made automation to scale time-consuming tasks on autopilot. Hexomatic works 24/7 from the cloud, no complex software or coding required. Hexomatic makes it easy to scrape products, directories, prospects and listings at scale with a simple point-and-click experience. No coding required. Scrape data from any website capturing product names, descriptions, prices, images etc. Find all websites that mention a product or brand using the Google search automation. Find social media profiles to connect directly from social networks. Run your scraping recipes on demand or schedule these to get fresh, accurate data that syncs natively to Google Sheets or can be used in any automation sequence. Extract SEO meta title and meta descriptions for each product page. Calculate word count for each product page.Starting Price: $24 per month -
44
AWS HealthImaging
Amazon
AWS HealthImaging is designed for builders who develop cloud-native medical imaging applications. HealthImaging ingests data in the DICOM P10 format and provides APIs for low-latency retrieval and purpose-built storage. Reduce costs up to 40% by employing advanced compression and storing a single copy of each image in the cloud. Access medical imaging data with subsecond image latency from anywhere, powered by cloud-native APIs and applications. Reduce the burden of infrastructure management to focus time and resources on delivering high-quality patient care. Supported by major medical imaging vendors with cloud-native medical imaging workflows. Store and stream medical imaging directly from AWS while preserving low-latency performance and high availability. Save cost on long-term image archival while maintaining subsecond image retrieval access. Run artificial intelligence and machine learning inference over the imaging archive with support from other tools and services.Starting Price: $0.105 per month -
45
SheetMagic
SheetMagic
SheetMagic is a Google Sheets add-on that brings unlimited AI content generation and unlimited web scraping directly into your spreadsheets. It enables users to generate AI content and images via formulas, tapping into GPT-3.5 Turbo, GPT-4/GPT-4 Turbo/GPT-4o, DALL·E 3, and any LLM via OpenRouter, all without coding or markup fees. With SheetMagic you can clean, analyze, summarize, and classify data; scrape entire webpages, search engine result pages, meta titles, headings, paragraphs, and custom selectors; and automate the creation of bulk product descriptions, ad copy, sales emails, SEO-optimized content, and enriched lead lists from existing sheet data and scraped inputs. The add-on supports programmatic workflows, multi-language prompts, team sharing, audit trails, and real-time dashboards, streamlining repetitive tasks so you can focus on strategy rather than manual entry.Starting Price: $19 per month -
46
Maps Scraper AI
Maps Scraper AI
Get local leads with the power of AI. AI-driven strategies such as generating local B2B leads from maps can be beneficial for businesses that want to target specific geographic regions. Scraping Maps data has many benefits, including lead generation, research and data science, monitoring competition, and obtaining business contact details. It can help businesses understand customer needs, research competitors, and develop new strategies. Unique ability to extract email addresses associated with listed companies, which are not typically displayed on Maps. Batch search capability to search for multiple keywords simultaneously, streamlining the process. Lightning-fast results and time savings by providing instant, accurate insights without the need to build and test a custom web scraping tool. Mimics real user behavior using Chrome, reducing the risk of being blocked by Maps. Allows data extraction from Maps without writing any code.Starting Price: $9.99 per month -
47
MetaJure
MetaJure
MetaJure helps thousands of lawyers manage and instantly find the documents they need, right when they need them. We do it by gathering all of your firm’s documents, automating time-consuming document management tasks, and making retrieval easy and intuitive so that you can get back to practicing law. MetaJure automatically collects and indexes your documents and emails. No tagging or profiling required. Stop wasting time looking for documents. Instantly search all your firm’s documents with our intuitive keyword search. Leverage your firm’s existing work product and gain a competitive edge over firms that struggle to access their knowledge. MetaJure was founded by lawyers with the specific intent of creating technology tools that improve the quality, productivity and efficiency of lawyers and law firms. Grounded in the challenges of eDiscovery and finding “needles in the haystack”, MetaJure’s founders have been at the forefront of legal technology for over 20 years. -
48
SearchUs
FunnelWon.com LLC
SearchUs is a site search platform and WordPress plugin that replaces the default WordPress search with faster, relevance-ranked results across pages, posts, WooCommerce products, PDFs, images, videos, and documents. Designed to improve the visitor experience and help users find content quickly, SearchUs offers customizable search results pages, intelligent relevance ranking, synonym matching, smart 404 recovery, and easy WordPress integration. * Hosted search index for improved performance and relevance * Searches pages, posts, WooCommerce products, PDFs, images, videos, and documents * Dedicated, customizable search results page (SERP) * Configurable relevance ranking and weighting * Synonym and intent matching * Smart 404 recovery * “Did You Mean?” search suggestions * Promoted search results * List and grid search layouts * Easy WordPress installation and setup * Free and paid plans to fit websites of all sizesStarting Price: $9/month -
49
Perplexity Patents
Perplexity
Perplexity Patents is the world’s first AI-powered patent research agent designed to make intellectual-property intelligence accessible to everyone, replacing difficult keyword-based searches with natural-language prompts that retrieve and summarize relevant patents and prior art in real time. Unlike traditional tools, it supports conversational queries and surfaces inventions even when exact terms differ (for example, matching “fitness trackers” to patents covering “activity bands” or “health-monitoring wearables”). The system goes beyond patent databases by also exploring academic papers, software repositories, and other unconventional sources of prior art, and presents results in an integrated viewer with links to original documents. Behind the scenes is an advanced agent-based research engine that breaks down complex queries into retrieval tasks using a patent-knowledge index at a massive scale, and maintains context across follow-ups.Starting Price: Free -
50
Bibliovation
LibLime
One simple to use, powerful search tool that reaches your library’s full universe of physical and digital assets to retrieve relevant search results. The user experience transforms from the frustration of multiple database searches with search rules and different search results lists, to the satisfaction of a single search that combines relevant results from unified indexes, independent databases, library catalogs, and local digital collections. The Bibliovation Library Services Platform (LSP) is a highly flexible, unified software system offered as a SaaS solution. The entire platform is 100% web-based, providing mobile access from all devices. Bibliovation uses relational databases storing all data types, including bibliographic, patron, transaction, acquisitions, and digital objects. By design, Bibliovation is highly customizable to support a variety of different library workflows.
