The request names "agentforce" and "d360", which are Salesforce products, but none of the candidate sources is Salesforce's Agentforce or Data 360 page, so I cannot confirm what the request is asking for. The closest matches among the candidates for AI-driven analysis of unified customer and business data are listed below, but they are alternatives, not Agentforce or Data 360 themselves.
A question back: Did you mean Salesforce's Agentforce and Data 360 (formerly Data Cloud)? If so, I can look for their official pages and tools, or tell me the platform or data sources you are working with.
- 1
ThoughtSpot Agentic Analytics Platformthoughtspot.appverified and signed
Transform insights into action with the ThoughtSpot Agentic Analytics Platform—AI agents, automated insights, and embedded intelligence. ThoughtSpot Agentic Ana 6
official:MCP server · app.thoughtspot/mcp-server+2 community tools built for it
for agents: analytics · everywhere · thoughtspot
- 2
Mixpanelmixpanel.comverified and signed
Combines product analytics with AI-powered insights to spot behavioral trends across customer data 3.
+7 community tools built for it
for agents: analytics · track_event · custom_api_call
- 3
Amplitudeamplitude.comverified and signed
Brings AI into product analytics, with an MCP server and agent tooling for analyzing customer behavior 7.
official:MCP server · Amplitude+6 community tools built for it
for agents: discover-analytics-patterns · backend · amplitude
- 4
Teradata Autonomous Knowledge Platformteradata.comverified and signed
Connects multi-modal enterprise data as knowledge for AI to act on and embeds analytics into workflows 9.
+4 community tools built for it
for agents: Teradata
Sources
- 3Product Intelligence Platform for the AI Era | Mixpanelmixpanel.com · read 2026-10-29
- 6ThoughtSpot Agentic Analytics Platformthoughtspot.com · read 2026-10-29
- 7Amplitude | A new era for product teamsamplitude.com · read 2026-10-29
- 9Autonomous Knowledge Platform | Teradatateradata.com · read 2026-10-29
For agents: the 10 actions behind this answer
database · neo4j verified and signed
using-dbt-for-analytics-engineering · using-dbt-for-analytics-engineering verified and signed
Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.
analytics · mixpanel verified and signed
· Dagster website read, tools not yet checked
Dagster is the data orchestrator platform that helps you build, schedule, and monitor reliable data pipelines—fast, flexible, and built for teams.
execute_sql · analytics-agent found in code, not yet checked
Execute a SQL query against the connected Hive/Kyuubi/Spark warehouse. Returns JSON with columns and rows.
analytics · @thoughtspot/visual-embed-sdk verified and signed
discover-analytics-patterns · discover-analytics-patterns verified and signed
Discovers how analytics tracking calls are actually written in this codebase — the concrete SDK calls, function signatures, and import patterns used to send events. Use this skill whenever you need to understand the existing analytics instrumentation patterns before adding new tracking, when someone
agents · agno verified and signed
Teradata · teradatasql verified and signed
sales-reporting · sales-reporting verified and signed
Daily briefings, pipeline snapshots, and win/loss analysis from the terminal — closing-this-week, open pipeline by stage/owner, and closed-won vs closed-lost over a period.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.