AI Agents Marketplace

What is Automated Insights? Automated Insights is an automated writing AI agent offering Wordsmith natural language generation that automatically writes reports and stories from data. Founded in 2007 and based in Durham, North Carolina, USA, Automated Insights helps media, BI and enterprise teams automate automated writing work and get results faster. Key capabilities of Automated Insights Data-to-text templates BI narratives Automated reports API Style personalization Batch processing How Automated Insights works Automated Insights takes data 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 Adobe Lightroom, Adobe Photoshop, Tableau and Power BI, so the agent works inside existing workflows. Who uses Automated Insights? Automated Insights is built for media, BI and enterprise teams. It suits teams that want data-to-text templates and BI narratives without adding headcount, while keeping people in control of review and final decisions. Automated Insights vs Arria NLG Automated Insights is often compared with Arria NLG. Automated Insights stands out for data-to-text templates and automated reports. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Captain Data? Captain Data is a REST API that gives AI agents and B2B SaaS products access to people and company data. You pass a LinkedIn URL, a name or a domain and get back a fresh, structured profile. Key capabilities of Captain Data People enrichment: Enriches profiles from LinkedIn URLs Company lookup: Returns company information and employee discovery Search: Searches 750M+ profiles and 54M+ company records Global coverage: Real-time data across 200+ countries Seven endpoints: Enrichment, search and discovery endpoints MCP support: Model Context Protocol access for agents How Captain Data works Developers get an API key, call the base endpoint with an X-API-KEY header and receive structured JSON. Most operations cost one credit per record, and the vendor reports a 99 percent uptime SLA. Who uses Captain Data? AI-first product teams building enrichment into their products. Captain Data cites 100+ teams, including Lemlist, UserGems and Rippling. Captain Data pricing Pricing is credit based. The base rate is EUR 59.99 per 1,000 credits, falling to EUR 29.99 per 1,000 at 20,000 credits per month. New users get 100 free credits with no card, and enterprise volumes above 500k credits per month are custom. Captain Data alternatives Alternatives include Ocean.io for company data, Floqer for enrichment workflows, and Extruct AI for company research.

What is Palantir AIP? Palantir AIP is the Artificial Intelligence Platform from Palantir for building LLM-backed workflows, agents and applications on enterprise data. It connects language models to an organization's Ontology, so AI outputs act on structured and unstructured business data. Key capabilities of Palantir AIP AIP Logic: No-code environment for building, testing and deploying AI-powered functions AIP Chatbot Studio: Builds agents and chatbots (formerly AIP Agent Studio) AIP Evals: Tests AI workflows, agents and functions before production Ontology grounding: Feeds structured and unstructured Ontology data to models Prompt engineering: Interface for engineering prompts and setting up automation Model choice: Works with OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, xAI and bring-your-own models Bootcamps: Hands-on sessions where customers build with AI in hours How Palantir AIP works Builders connect data into the Ontology, then use AIP Logic to compose prompts, model calls and actions into functions without code. Agents built in Chatbot Studio call those functions and Ontology objects, and AIP Evals checks behavior before deployment. Models are interchangeable, including self-hosted and open-source ones. Who uses Palantir AIP? Large enterprises and government agencies that already hold operational data in Palantir Foundry and want LLM agents acting on it. Teams of developers and business builders use the same Ontology to author workflows. Palantir AIP pricing Palantir does not publish AIP pricing. Engagements are quoted, and customers typically start with a bootcamp to prove a use case before wider rollout. Palantir AIP alternatives Alternatives include Microsoft Copilot Studio for low-code agents in the Microsoft stack, Salesforce Agentforce for CRM-centered agents, and Databricks Mosaic AI for data-lakehouse AI.

What is Bluecore? Bluecore is a retail marketing AI AI agent offering a retail marketing platform that uses AI to identify shoppers and trigger personalized campaigns. Founded in 2013 and based in New York, New York, USA, Bluecore helps enterprise retailers automate retail marketing AI work and get results faster. Key capabilities of Bluecore Shopper identification Predictive audiences Triggered email and SMS Product recommendations Real-time personalization Merchandising insights How Bluecore works Bluecore takes customer data and product data as input and produces email 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 Shopify, Salesforce Commerce Cloud, Magento and BigCommerce, so the agent works inside existing workflows. Who uses Bluecore? Bluecore is built for enterprise retailers. It suits teams that want shopper identification and predictive audiences without adding headcount, while keeping people in control of review and final decisions. Bluecore vs Klaviyo Bluecore is often compared with Klaviyo. Bluecore stands out for shopper identification and triggered email and SMS. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Shaped? Shaped is a recommendation and search AI agent offering a platform for building real-time recommendation and search systems with modern ML models. Shaped helps product and data teams automate recommendation and search work and get results faster. Key capabilities of Shaped Recommendation models Semantic search Real-time ranking Data connectors Hybrid semantic search Real-time recommendations How Shaped works Shaped takes data as input and produces recommendations and rankings. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Shopify, REST APIs, JavaScript and Python, so the agent works inside existing workflows. Who uses Shaped? Shaped is built for product and data teams. It suits teams that want recommendation models and semantic search without adding headcount, while keeping people in control of review and final decisions. Shaped vs Recombee Shaped is often compared with Recombee. Shaped stands out for recommendation models and real-time ranking. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Glood.ai? Glood.ai is a Shopify product recommendation AI agent offering an AI product recommendation app for Shopify stores that personalizes upsells and cross-sells. Based in India, Glood.ai helps Shopify merchants automate Shopify product recommendation work and get results faster. Key capabilities of Glood.ai Product recommendations Upsell widgets Frequently bought together Personalized emails Hybrid semantic search Real-time recommendations How Glood.ai works Glood.ai takes data as input and produces recommendations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Shopify, REST APIs, JavaScript and Python, so the agent works inside existing workflows. Who uses Glood.ai? Glood.ai is built for Shopify merchants. It suits teams that want product recommendations and upsell widgets without adding headcount, while keeping people in control of review and final decisions. Glood.ai vs Rebuy Glood.ai is often compared with Rebuy. Glood.ai stands out for product recommendations and frequently bought together. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Traceloop? Traceloop is a LLM observability AI agent offering LLM observability built on OpenLLMetry open-source instrumentation for tracing and evaluation. Traceloop helps AI engineering teams automate LLM observability work and get results faster. Key capabilities of Traceloop OpenLLMetry tracing Quality monitoring Evaluations Alerts Pull request integration Tracing and evals How Traceloop works Traceloop takes traces as input and produces dashboards 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 GitHub, GitLab, Python and OpenTelemetry, so the agent works inside existing workflows. Who uses Traceloop? Traceloop is built for AI engineering teams. It suits teams that want OpenLLMetry tracing and quality monitoring without adding headcount, while keeping people in control of review and final decisions. Traceloop vs Langfuse Traceloop is often compared with Langfuse. Traceloop stands out for OpenLLMetry tracing and evaluations. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is DevRev? DevRev is a native support AI agent offering an AI-native platform linking support, product and engineering with a shared knowledge graph. Founded in 2020 and based in Palo Alto, California, USA, DevRev helps B2B SaaS companies automate native support work and get results faster. Key capabilities of DevRev AI ticket resolution IT service desk Enterprise search Product and support linking Human handoff Resolution analytics How DevRev works DevRev takes text as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zendesk, Salesforce Service Cloud, Slack and Shopify, so the agent works inside existing workflows. Who uses DevRev? DevRev is built for B2B SaaS companies. It suits teams that want AI ticket resolution and IT service desk without adding headcount, while keeping people in control of review and final decisions. DevRev vs Zendesk DevRev is often compared with Zendesk. DevRev stands out for AI ticket resolution and enterprise search. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Masterpiece X? Masterpiece X is a 3D asset generation AI agent offering a generative 3D platform that creates textured, rigged and animated 3D models from text or images. Masterpiece X helps game developers and 3D creators automate 3D asset generation work and get results faster. Key capabilities of Masterpiece X Text to 3D Image to 3D Auto rigging Animation library Game-ready assets Export to engines How Masterpiece X works Masterpiece X takes text and images as input and produces 3D models. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Unity, Unreal Engine, Blender and Roblox, so the agent works inside existing workflows. Who uses Masterpiece X? Masterpiece X is built for game developers and 3D creators. It suits teams that want text to 3D and image to 3D without adding headcount, while keeping people in control of review and final decisions. Masterpiece X vs Meshy Masterpiece X is often compared with Meshy. Masterpiece X stands out for text to 3D and auto rigging. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Observe.AI? Observe.AI is a customer experience platform built around purpose-made AI agents that automate and improve contact center interactions across voice, chat and operations. It combines automation, live agent assistance and interaction analytics in one product. Key capabilities of Observe.AI Voice AI and Chat AI: autonomous agents that resolve customer requests end to end Companion Agent: real-time assistance for live agents during calls Insight Agent: evaluates interactions and generates coaching Performance Agent: coaching programs tied to measurable outcomes Customer authentication: agents verify callers before acting Action and Integration Fabric: reads and writes data in connected systems How Observe.AI works Agents authenticate the customer, adapt to the conversation in real time rather than following a rigid script, and execute transactions through the Action and Integration Fabric, which connects to CRMs, contact center platforms, knowledge bases and backend systems. The vendor highlights policy enforcement and audit trails for regulated use. Who uses Observe.AI? Contact center operators in banking, healthcare, insurance and hospitality use it. The vendor names DoorDash, SoFi, Verida, Asurion and Woodforest National Bank as customers, and cites SOC 2 and HIPAA capabilities for regulated industries. Observe.AI pricing Observe.AI does not publish pricing on its website. Deployments are scoped with the vendor, so request a quote based on agent seats and the products you need. Observe.AI alternatives Alternatives include Modjo for sales call analysis, Salesloft Conversations for revenue teams, tl;dv for meeting recording, ExecVision for call coaching, and Wonderway Coach for call scoring.