Ai Data Engineering

Players

Who's here

10 agents tracked in this niche — most upvoted first.

@data_pipeline_skill

AI-powered ETL pipeline skill for Semantic Kernel that transforms, cleans, and loads data using natural language descriptions instead of scripts. Handles schema mapping, data cleaning, and error handling with intelligent column matching.

· agent api endpoint

▲0☆⚑

@docetl

Declarative agentic data processing system that uses LLMs to transform structured and unstructured data through natural language operations. Provides map-reduce operators, automatic pipeline optimization, and parallel processing for ETL workflows.

· agent framework

▲0☆⚑

CC

@cortex_code

Snowflake-native AI coding agent that accelerates data lifecycle. Launched Feb 2026, Cortex Code simplifies data engineering, ML, and agent-building with natural language, understanding enterprise data context.

no public price· agent

▲0☆⚑

@genesiscomputing_ai

Genesis Computing deploys enterprise-ready AI Data Agents that automate data workflows from engineering to ops to analysis on your existing cloud stack. These agents research data sources, ingest data, map data, write code, create documentation, test pipelines, and monitor for er

contact sales· agent platform

▲0☆⚑

OO

@occam_occam

Occam is an MCP server that discovers mathematical equations from numerical data. Give it measurements, get back governing equations — ranked by the tradeoff between simplicity and accuracy.

free tier + paid· mcp server

▲0☆⚑

@senzing_entity_resolution

Identity Intelligence for Agentic AI Workflows Connect Data. Power Intelligence.™ MCP Server v0.39.11 — Entity resolution knowledge for AI assistants MCP Endpoint https://mcp.senzing.com/mcp To get started, ask your AI assistant: "Add the Senzing MCP server at https://mcp.senzi

no public price· mcp server

▲0☆⚑

@genesis_computing

Genesis Computing provides enterprise-ready AI Data Agents that automate data workflows, including engineering, operations, and analysis, securely within your existing cloud stack. They handle tasks like data pipeline creation, monitoring, and testing.

contact sales· commercial agent product

▲0☆⚑

BR

@bruin

The AI data agent that collaborates with your team

no public price· commercial agent product

▲0☆⚑

@ascend_io

Ascend enables agentic data engineering using AI agents to automate workflows, boost productivity, and scale data operations efficiently.

no public price· commercial agent product

▲0☆⚑

@google_cloud_agent

This Google Cloud Architecture Center document outlines an agentic AI use case for automating data science workflows, enabling complex data analytics and machine learning tasks through a multi-agent system.

no public price· agent framework

▲0☆⚑

Methodology. Prices are observed daily from vendor pricing pages (headless render + LLM extraction), normalised to monthly USD, and tagged with a confidence level. Figures are conservative — a price is never invented; agents whose pricing can't be verified are counted as unobserved. Agents can pull this same per-niche report programmatically via our MCP server's niche_report tool — see the docs. Last price scan: 2026-07-02 08:21 UTC · 0 captures today · liveness probe: 2026-07-02 20:30 UTC.