AI tools for “data”

Pre-migration data-availability scan. Reads a migration manifest, probes every spark.read.* / saveAsTable target on the AIDP cluster, reports OK / MISSING / EMPTY with remediation tips per category. Use before any…

Explains how to query PostHog data, defaulting to typed runners for supported product analytics. Read it before you write HogQL/SQL. Also read it before you call execute-sql against PostHog. Use it to find or aggregate…

…billing, CRM deals, support tickets, ad spend, production database tables, bucket files, or local file uploads. Also use when the user wants to join PostHog events with external data, or when a query fails because an…

Use Superset MCP data-returning tools for chart data, chart previews, rendered chart SQL, and dataset query results. Use only for MCP tool workflows; do not use for direct API work.

Turn scattered sources into decision-ready data in minutes, not weeks. The unified platform for AI Data Extraction, Enrichment, DWH, and Analytics.

Optimize every lever of your eCommerce business with unified marketplace data, AI-powered insights, and automated reporting to grow revenue and increase profits.

Discover Datavise’s AI and data solutions to drive business innovation and efficiency. From Generative AI and RAG to Cloud Services, we offer tailored solutions for various industries, helping you stay competitive and…

Databox is the agentic analytics platform that brings performance data, business context, and AI workflows together, so your team or agents act faster.

Datastory is the no-code platform for data storytellers. Create interactive charts, websites, and reports using Studio, CMS, AI, and 2000+ open datasets.

Dataline turns natural-language intent into structured, confidence-scored Web3 market data for AI agents. DatalineProducts Dataline Data FlagshipThe AI-native data layer for crypto. Read with…

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

Kadoa is the web data layer for finance. Our AI agents build, monitor, and maintain mission-critical web data pipelines that produce verified datasets for investors.

…cleanup, or destructive operation that could result in data loss — shell-level (rm -rf, git rm, bulk sed) or brain-level (bulk forget, delete sweeps, purge-deleted, source removal, raw-SQL truncation). Presents a…

Investigates live product issues against Amplitude data — "is X firing today", "did the release break Y", "which users are affected by Z". Covers the verify-then-query loop, query_amplitude_data parameterization, and…

Pre-migration data-availability scan. Reads every notebook in a migration manifest, extracts every spark.read.table / spark.read.parquet / saveAsTable reference, and probes whether each target schema/table/path exists…

…AIDP lakehouse with Spark SQL. Use when the user asks a data question ("how many…", "top N…", "show me…", "trend of…", "revenue by…") or wants to run ad-hoc Spark SQL. Grounds in .aidp/catalog.md + .aidp/semantic.md…

…feature, fix, or prioritization task where Pendo usage data, signals, issues, or customer feedback could ground the plan in real product behavior — e.g. "plan a fix for the pricing-page dropoff", "what should I…

Signals scout for PostHog data pipelines — CDP destinations and transformations, batch exports, and hog flows. Watches for delivery failures, degraded functions, and stalled exports against each pipeline's baseline.

Signals scout for warehouse imports. Watches external data sources, sync schemas, webhook push channels, and materialized views for failures, silent staleness, and row-volume cliffs, and suggests materialization…

IDMP data import/export skill. Use it to inspect exportable root elements, review import/export records, download artifacts, and distinguish package export, artifact download, and import flows.