AI Agents Marketplace

What is Kinetix? Kinetix is an AI animation and emotes AI agent offering AI that turns videos into 3D animations and user-generated emotes for games. Founded in 2020 and based in Paris, France, Kinetix helps game studios and platforms automate AI animation and emotes work and get results faster. Key capabilities of Kinetix Video to 3D animation User-generated emotes Game SDK Animation library FBX and BVH export Retargeting How Kinetix works Kinetix takes video as input and produces 3D animations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Blender, Maya, Unreal Engine and Unity, so the agent works inside existing workflows. Who uses Kinetix? Kinetix is built for game studios and platforms. It suits teams that want video to 3D animation and user-generated emotes without adding headcount, while keeping people in control of review and final decisions. Kinetix vs Plask Kinetix is often compared with Plask. Kinetix stands out for video to 3D animation and game SDK. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Amberscript? Amberscript is a transcription and subtitling service that offers machine-made output and human-made output from native-speaking language experts. It is used to turn audio and video into text and subtitles. Key capabilities of Amberscript Machine-made transcription: 90%+ accuracy, delivered in minutes Human-made transcription: 99%+ accuracy by native-speaking experts Machine-made subtitles: generated in minutes from 0.17 EUR per minute Human-made subtitles: verified by language experts Subscription plans: Starter, Pro and Power monthly tiers Pay as you go: one-time credits for transcription How Amberscript works You upload audio or video, choose machine-made or human-made output, and receive a transcript or subtitle file. Machine output is generated by AI in minutes at about 90% accuracy. Human-made files are produced and checked by native-speaking experts at over 99% accuracy. Who uses Amberscript? Researchers, media teams, educators and businesses that need transcripts and subtitles, choosing human review where accuracy matters most. Amberscript pricing Machine-made subtitles start at 0.17 EUR per minute and human-made transcription at 1.85 EUR per minute. Subscriptions are Starter at 19 EUR (5 hours), Pro at 29 EUR and Power at 49 EUR per month, per third-party reports. Amberscript alternatives Transkriptor offers AI transcription by subscription, 3Play Media specializes in captioning and audio description, and Scribie combines automated and human transcription. Amberscript offers both machine and human tiers.

What is Kemtai? Kemtai is a computer vision physical therapy AI agent offering AI-guided home exercise and physical therapy using any device camera for motion tracking. Founded in 2019 and based in Tel Aviv, Israel, Kemtai helps physical therapy clinics and digital MSK providers automate computer vision physical therapy work and get results faster. Key capabilities of Kemtai Camera-based motion tracking Real-time exercise feedback Clinician dashboards Remote therapeutic monitoring Real-time form feedback Progress tracking How Kemtai works Kemtai takes video as input and produces feedback and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Apple Health, Google Fit, iOS and Android, so the agent works inside existing workflows. Who uses Kemtai? Kemtai is built for physical therapy clinics and digital MSK providers. It suits teams that want camera-based motion tracking and real-time exercise feedback without adding headcount, while keeping people in control of review and final decisions. Kemtai vs Sword Health Kemtai is often compared with Sword Health. Kemtai stands out for camera-based motion tracking and clinician dashboards. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Jenni AI? Jenni AI is an academic writing AI agent offering an AI workspace for researchers to read, write and cite with source-grounded autocomplete. Jenni AI helps students and researchers automate academic writing work and get results faster. Key capabilities of Jenni AI Source-grounded autocomplete Citations in 10,000+ styles PDF chat Semantic search Tone and style suggestions Browser extension How Jenni AI works Jenni AI takes text and documents as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Google Docs, Microsoft Word, Chrome and Gmail, so the agent works inside existing workflows. Who uses Jenni AI? Jenni AI is built for students and researchers. It suits teams that want source-grounded autocomplete and citations in 10,000+ styles without adding headcount, while keeping people in control of review and final decisions. Jenni AI vs Paperpal Jenni AI is often compared with Paperpal. Jenni AI stands out for source-grounded autocomplete and PDF chat. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Recorded Future? Recorded Future is a cybersecurity threat intelligence company that helps organizations detect and stop threats before attacks occur. It is owned by Mastercard. Key capabilities of Recorded Future Cyber Operations: Hunt and stop weaponized threats Digital Risk Protection: Detect and remove external threats targeting brands and customers Third-Party Risk: Monitor supplier compromises and vendor vulnerabilities Payment Fraud Intelligence: Identify compromised cards and infected merchants Intelligence Graph: Correlates technical sources, dark web, open web and adversary infrastructure Autonomous Threat Operations: Deploys intelligence across security stacks at machine speed Insikt Group: Human expert analysis How Recorded Future works The Intelligence Graph correlates signals across technical sources, the dark web, the open web and adversary infrastructure. Insikt Group analysts add expert context, and 100+ native integrations push intelligence into security tools. The vendor says agentic processing can turn a threat disclosure into a production-ready detection in about 31 minutes. Who uses Recorded Future? Security operations teams, fraud teams and governments protecting critical infrastructure. It was named a Leader in the 2026 Forrester Wave for External Threat Intelligence. Recorded Future pricing Recorded Future does not publish pricing and sells through sales. Recorded Future alternatives Alternatives include Dropzone AI and Prophet Security for AI SOC analysts and 7AI for agentic security operations.

What is Clearscope? Clearscope is a content optimization platform that recommends terms and structure to match search intent. It also tracks how queries and brands appear in AI systems. Key capabilities of Clearscope Search intent recommendations: Terms and topics to cover for a target query. Query tracking: 50 to 300 tracked queries by plan. AI query tracking: Monitors queries across AI systems. Brand visibility monitoring: Tracks brand mentions in AI results. Topic exploration: 20 monthly explorations on Essentials. Unlimited users and projects: Included on every plan. How Clearscope works You enter a keyword and Clearscope analyzes top results to produce recommended terms and a content grade for your draft. Tracked queries are monitored over time, including in AI systems. Plans differ by tracked queries, pages and drafts, and add-ons are sold for extra pages and drafts. Who uses Clearscope? Clearscope is used by content and SEO teams at publishers and brands. Business adds a dedicated account manager, and Enterprise adds SSO and crawler whitelisting. Clearscope pricing Essentials costs $129 per month with 50 tracked queries and 50 pages. Business costs $399 per month with up to 300 queries and pages and a dedicated account manager. Enterprise is custom. Extra pages cost $25 to $15 per month and a 14-day free trial is offered. Clearscope alternatives Alternatives include Surfer, which offers content scoring and AI writing, MarketMuse, which focuses on topic modeling and content planning, and Frase, which combines research and drafting.

What is Filed? Filed is a tax preparation AI agent offering an AI agent platform that prepares tax returns and workpapers for accounting firms. Filed helps accounting firms and tax preparers automate tax preparation work and get results faster. Key capabilities of Filed Tax data extraction Return preparation Workpaper drafting Review checklists Source document extraction Workpaper generation How Filed works Filed takes documents as input and produces tax returns and workpapers. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as CCH Axcess, UltraTax CS, Lacerte and Drake Tax, so the agent works inside existing workflows. Who uses Filed? Filed is built for accounting firms and tax preparers. It suits teams that want tax data extraction and return preparation without adding headcount, while keeping people in control of review and final decisions. Filed vs Black Ore Filed is often compared with Black Ore. Filed stands out for tax data extraction and workpaper drafting. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Mobb? Mobb is a security platform that addresses risks introduced by AI coding tools. It provides visibility into AI-generated code and automated remediation of vulnerabilities, built for enterprise deployment. Key capabilities of Mobb Bulk fixes: one-click fixes for related issues via contextual pull requests Continuous remediation: monitors new commits and fixes immediately 100+ issue types: handles findings from many security scanners Hybrid-AI fixes: deterministic fixes that produce ready-to-merge PRs Broad coverage: XSS, SQL injection, SSRF, path traversal and hardcoded passwords Scanner agnostic: works alongside existing tools How Mobb works Mobb takes findings from your existing security scanners, generates a fix using its Hybrid-AI technology and opens a pull request with the change. It also watches new commits and proposes fixes as they arrive. Developers review and merge the pull request. Who uses Mobb? Mobb is for AppSec teams, CISOs, developers and DevSecOps teams in financial services, B2B software, health tech and insurance. Mobb pricing Mobb offers free and paid plans, plus a free pilot program and demo. No plan prices are published on the homepage. Mobb alternatives Alternatives include Cursor and Tabnine for AI-assisted coding, though neither focuses on automated vulnerability remediation.

What is OpenHands? OpenHands is an open source platform for software engineering agents. It offers a GUI for interactive sessions, a CLI for terminal work, an SDK for embedding agents in custom applications and an enterprise deployment with model and data governance. Key capabilities of OpenHands GUI: interactive agent sessions CLI: terminal-based agent workflow SDK: embed agents in your own applications Enterprise deployment: model and data governance controls Sandboxed execution: third-party reports agents run inside Docker Cloud platform: hosted app alongside self-hosting How OpenHands works Developers run OpenHands through the GUI, the CLI or the SDK and point it at a model of their choice. Third-party sources report the agent writes code, runs terminal commands, browses the web and opens pull requests inside a sandboxed Docker environment. Who uses OpenHands? OpenHands is for developers and engineering teams who want an open source coding agent they can self-host or run in a cloud app. Third-party sources report an MIT license and roughly 89.7k GitHub stars. OpenHands pricing Third-party sources report the core toolkit is free under the MIT license, with cloud hosting from $20 per month including credits and enterprise by quote. These figures are not confirmed on the vendor page. OpenHands alternatives Alternatives include Plandex for terminal-based coding, Windsurf for an AI IDE and Amazon Q Developer for AWS-integrated coding.

What is Coupa? Coupa is a total spend management platform that covers procurement, sourcing, invoicing, payments and supplier management. Its Navi AI agents learn from the community spend dataset that Coupa describes as US$8 trillion. Key capabilities of Coupa Source-to-pay suite: covers procurement through payment Navi AI agents: agent portfolio built for spend management Community spend intelligence: recommendations drawn from billions of interactions Sourcing, payments and invoicing agents: extended in the September 2026 release Supplier management: supports supplier workflows MCP tools: connect external AI systems to spend data How Coupa works Navi agents operate across the spend lifecycle and learn from transactional data in Coupa's community dataset to deliver recommendations and surface risks. Navi was first launched as a generative AI agent in September 2024. Coupa has added MCP tools so external AI systems can work with enterprise spend data. Who uses Coupa? Procurement, finance and supply chain teams at large enterprises use it. Coverage reports 450+ customers using agents in production, with up to 50% shorter requisition cycle time and 40% shorter sourcing cycle time for some users. Coupa pricing Coupa does not publish pricing. Contracts are enterprise and quote based, scoped by modules and spend volume. The vendor pages were not readable by our fetch tool, so confirm packaging with Coupa sales. Coupa alternatives Alternatives include Zip for intake and procurement orchestration, Levelpath for source-to-pay, Suplari for spend analytics, Pactum for autonomous supplier negotiation, and Aera Technology for decision intelligence.