Install
npm install mixpanel-browser
vs PostHog
vs Amplitude
vs Plausible AnalyticsShowcase
Verified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Dashboards reporting — stories about dashboards reporting in this arenaDashboards reportingevidence →
Stories about dashboards reporting in this arena
Event ingestion — stories about event ingestion in this arenaEvent ingestionevidence →
Stories about event ingestion in this arena
Flags experiments — stories about flags experiments in this arenaFlags experimentsevidence →
Stories about flags experiments in this arena
Funnels retention — stories about funnels retention in this arenaFunnels retentionevidence →
Stories about funnels retention in this arena
Integrations — connecting to other tools — breadth and depth of built-in integrationsIntegrationsevidence →
Connecting to other tools — breadth and depth of built-in integrations
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Privacy cookieless — stories about privacy cookieless in this arenaPrivacy cookielessevidence →
Stories about privacy cookieless in this arena
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Session replay — stories about session replay in this arenaSession replayevidence →
Stories about session replay in this arena
Warehouse sql — stories about warehouse sql in this arenaWarehouse sqlevidence →
Stories about warehouse sql in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 0 free · 1 paid · 0 enterprise · 29 not stated in evidence
Follow the green: where the map greys out is where Mixpanel stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓8/10
unlocks → Webhooks · Scoped API keys · Machine-readable spec · Versioning policy · API sandbox · Official CLI · Stream events onward to third-party destinations (CRM, ad platforms, webhooks) from the analytics platform
Subscribe to events via webhooks
—–
Build against official SDKs
~4/10
Issue scoped/least-privilege API credentials for an agent
—–
Connect an agent via an official MCP server
✓8/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
—0/10
Explore an interactive API reference with runnable examples
—0/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓9/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
~4/10
unlocks → MCP client
Operate the product with natural-language commands
✓8/10
Plug MCP servers into this product so it can use their tools
—0/10
Get AI-generated insights and suggestions from my data inside the product
✓7/10
Set up automations that run autonomously in the background
~3/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting
Stories about dashboards reporting in this arena
Event ingestion — stories about event ingestion in this arenaEvent ingestion
Stories about event ingestion in this arena
Identity
Flags experiments — stories about flags experiments in this arenaFlags experiments
Stories about flags experiments in this arena
Funnels retention — stories about funnels retention in this arenaFunnels retention
Stories about funnels retention in this arena
Integrations — connecting to other tools — breadth and depth of built-in integrationsIntegrations
Connecting to other tools — breadth and depth of built-in integrations
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Privacy cookieless — stories about privacy cookieless in this arenaPrivacy cookieless
Stories about privacy cookieless in this arena
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Session replay — stories about session replay in this arenaSession replay
Stories about session replay in this arena
Warehouse sql — stories about warehouse sql in this arenaWarehouse sql
Stories about warehouse sql in this arena
Sorted by importance (agentic first) (high → low) · 53/53 stories · click a row’s chevron for the rationale and evidence
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | partial | 4/10 | Cclaimed | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 9/10 | Tprobed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Cclaimed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 5/10 | Cclaimed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 4/10 | Cclaimed | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 3/10 | Cclaimed | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | none | 0/10 | ||
Run analytical queries and pull raw event data back through a documented query/export API G Raw access | developer | Warehouse sql — stories about warehouse sql in this arenaWarehouse sql | 3 | full | 9/10 | Cclaimed | |
Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst C Self serve insights | founder | Funnels retention — stories about funnels retention in this arenaFunnels retention | 3 | full | 8/10 | Xcommunity | |
Build multi-step funnels with filters and breakdowns to find where users drop off C Behavioral analysis | product-manager | Funnels retention — stories about funnels retention in this arenaFunnels retention | 3 | full | 8/10 | Xcommunity | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | full | 8/10 | Xcommunity | |
Have an agent answer growth questions from live product data by running queries through the API or MCP server C Ai analytics ops | ai-native user | Warehouse sql — stories about warehouse sql in this arenaWarehouse sql | 3 | full | 8/10 | Tprobed | |
Have an agent build a dashboard of my key metrics end-to-end via the API or MCP server C Ai analytics ops | ai-native user | Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting | 3 | full | 8/10 | Tprobed | |
Measure retention over time and slice it by behavioral cohorts C Behavioral analysis | product-manager | Funnels retention — stories about funnels retention in this arenaFunnels retention | 3 | full | 8/10 | Cclaimed | |
Query my raw events with SQL (or an SQL-equivalent query language) inside the platform C Raw access | developer | Warehouse sql — stories about warehouse sql in this arenaWarehouse sql | 3 | partial | 5/10 | Cclaimed | |
Roll out features behind flags targeted by user properties, cohorts, and percentage rollouts C Feature flags | developer | Flags experiments — stories about flags experiments in this arenaFlags experiments | 3 | partial | 5/10 | Cclaimed | |
Run A/B experiments with goal metrics and statistical significance reported on the results C Experimentation | product-manager | Flags experiments — stories about flags experiments in this arenaFlags experiments | 3 | partial | 5/10 | Cclaimed | |
Watch recordings of real user sessions with sensitive input masked by default C Replay | product-manager | Session replay — stories about session replay in this arenaSession replay | 3 | partial | 4/10 | Cclaimed | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | none | 0/10 | ||
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | 0/10 | ||
Send events from web, mobile, and backend apps through official SDKs for the major languages and platforms G Instrumentation | developer | Event ingestion — stories about event ingestion in this arenaEvent ingestion | 3 | none | 0/10 | ||
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | untested | none yet | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | full | 7/10 | Cclaimed | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | full | 7/10 | Cclaimed | |
Explore the paths users actually take before or after a key event C Behavioral analysis | product-manager | Funnels retention — stories about funnels retention in this arenaFunnels retention | 2 | full | 7/10 | Xcommunity | |
Jump from a funnel drop-off or an error event straight to session replays of the affected users C Replay | product-manager | Session replay — stories about session replay in this arenaSession replay | 2 | partial | 7/10 | Cclaimed | |
Sync events between the platform and my own data warehouse (query warehouse tables in-product or export events continuously to it) G Warehouse | developer | Warehouse sql — stories about warehouse sql in this arenaWarehouse sql | 2 | partial | 7/10 | Cclaimed | |
Compose saved insights into shareable dashboards for my team C Dashboards | product-manager | Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting | 2 | partial | 6/10 | Cclaimed | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 6/10 | Cclaimed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partial | 5/10 | Cclaimed | |
Analyze behavior at the account or company level, not just per user, for B2B products C Behavioral analysis | product-manager | Funnels retention — stories about funnels retention in this arenaFunnels retention | 2 | partialpaid | 4/10 | Xcommunity | |
Have an agent create, target, and toggle feature flags through the API or MCP server C Ai analytics ops | ai-native user | Flags experiments — stories about flags experiments in this arenaFlags experiments | 2 | partial | 4/10 | Cclaimed | |
Create and manage dashboards and saved insights programmatically via the API C Dashboards | developer | Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting | 2 | partial | 3/10 | Tprobed | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | 0/10 | ||
Stream events onward to third-party destinations (CRM, ad platforms, webhooks) from the analytics platform G Destinations | developer | Integrations — connecting to other tools — breadth and depth of built-in integrationsIntegrations | 2 | none | 0/10 | ||
Capture clicks, pageviews, and form interactions automatically without writing tracking code for each event C Instrumentation | product-manager | Event ingestion — stories about event ingestion in this arenaEvent ingestion | 2 | none | untested | none yet | |
Identify users across devices and merge anonymous pre-signup activity into their identified profile C Identity | developer | Event ingestion — stories about event ingestion in this arenaEvent ingestion | 2 | none | untested | none yet | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Track product usage without third-party cookies so I can minimize or avoid cookie consent banners C Privacy first analytics | founder | Privacy cookieless — stories about privacy cookieless in this arenaPrivacy cookieless | 2 | none | untested | none yet | |
Bulk-import historical events from another analytics tool or a data export into the platform G Identity | developer | Event ingestion — stories about event ingestion in this arenaEvent ingestion | 1 | partial | 6/10 | Cclaimed | |
Subscribe to dashboards and get alerted when a key metric moves abnormally C Dashboards | product-manager | Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting | 1 | partial | 4/10 | Cclaimed | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | n/a | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 37 stories with headroom
What would move Mixpanel’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools
nonemoves agent-readyimpact 45
Evidence only shows Mixpanel exposing its OWN hosted MCP server so external AI assistants can query Mixpanel data (mixpanel-docs-10, mixpanel-docs-19, mixpanel-probe-3) — this is the reverse direction of the story, which asks whether Mixpanel can consume/plug in external MCP servers to use their tools.
Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events
nonemoves PA Scoreimpact 30
Mixpanel's evidence covers analytics reporting, exports, session replay, and an MCP server for querying data with natural language, but there is no documented feature for defining rule-based triggers that automatically fire actions on events (e.g., alerts, webhooks, workflow automation).
Event ingestion — stories about event ingestion in this arenaSend events from web, mobile, and backend apps through official SDKs for the major languages and platforms
nonemoves PA Scoreimpact 30
Missing: explicit mention of official web SDK, mobile SDKs (iOS/Android), backend/server SDKs, and any platform coverage list.
Openness — open source, data portability, and self-hosting storiesSelf-host the core product
nonemoves PA Scoreimpact 30
Mixpanel is offered exclusively as a hosted SaaS product; no evidence pack item mentions a self-hosted or on-premise deployment option, source code availability, or Docker/Kubernetes install path.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
No evidence in the pack addresses AI-training opt-out or any policy preventing customer data from being used to train AI models; privacy docs only mention GDPR deletion/retrieval APIs and EU data residency, not AI-training exclusion.
Agenticness — how well agents can access and operate the productUse an official CLI
nonemoves agent-readyimpact 30
The evidence pack documents Mixpanel's APIs, MCP server, JQL query language, and export methods, but contains no mention of an official command-line interface (CLI) tool for Mixpanel.
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
Mixpanel offers an MCP server and various APIs, but the evidence pack contains no mention of scoped/least-privilege API keys, service accounts, or permission-limited tokens for agent use — only generic API/export/query docs and generic security incident commentary unrelated to credential scoping.
Agenticness — how well agents can access and operate the productSubscribe to events via webhooks
nonemoves agent-readyimpact 30
No evidence of Mixpanel offering webhooks to push/subscribe to events; the evidence only covers exports (raw export API, warehouse connectors, MCP server for querying data), which are pull-based, not event-driven webhook subscriptions.
Showing the top 8 of 37 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map8 surfaces · 33 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
docs28 stories
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Connect an agent via an official MCP server
- Drive the product through a documented public API
- Build against official SDKs
- Get AI-generated insights and suggestions from my data inside the product
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Perform bulk operations across many items at once
- Have an agent build a dashboard of my key metrics end-to-end via the API or MCP server
- Create and manage dashboards and saved insights programmatically via the API
- Compose saved insights into shareable dashboards for my team
- Bulk-import historical events from another analytics tool or a data export into the platform
- Have an agent create, target, and toggle feature flags through the API or MCP server
- Build multi-step funnels with filters and breakdowns to find where users drop off
- Measure retention over time and slice it by behavioral cohorts
- Explore the paths users actually take before or after a key event
- Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Choose where my data is stored (region/residency)
- Control data retention and deletion
- Jump from a funnel drop-off or an error event straight to session replays of the affected users
- Watch recordings of real user sessions with sensitive input masked by default
- Have an agent answer growth questions from live product data by running queries through the API or MCP server
- Run analytical queries and pull raw event data back through a documented query/export API
- Query my raw events with SQL (or an SQL-equivalent query language) inside the platform
- Sync events between the platform and my own data warehouse (query warehouse tables in-product or export events continuously to it)
API reference18 stories
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Build against official SDKs
- Perform bulk operations across many items at once
- Have an agent build a dashboard of my key metrics end-to-end via the API or MCP server
- Create and manage dashboards and saved insights programmatically via the API
- Bulk-import historical events from another analytics tool or a data export into the platform
- Have an agent create, target, and toggle feature flags through the API or MCP server
- Run A/B experiments with goal metrics and statistical significance reported on the results
- Roll out features behind flags targeted by user properties, cohorts, and percentage rollouts
- Build multi-step funnels with filters and breakdowns to find where users drop off
- Measure retention over time and slice it by behavioral cohorts
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Have an agent answer growth questions from live product data by running queries through the API or MCP server
- Run analytical queries and pull raw event data back through a documented query/export API
- Query my raw events with SQL (or an SQL-equivalent query language) inside the platform
- Sync events between the platform and my own data warehouse (query warehouse tables in-product or export events continuously to it)
mixpanel.com12 stories
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Compose saved insights into shareable dashboards for my team
- Subscribe to dashboards and get alerted when a key metric moves abnormally
- Run A/B experiments with goal metrics and statistical significance reported on the results
- Roll out features behind flags targeted by user properties, cohorts, and percentage rollouts
- Build multi-step funnels with filters and breakdowns to find where users drop off
- Explore the paths users actually take before or after a key event
- Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst
- Jump from a funnel drop-off or an error event straight to session replays of the affected users
- Watch recordings of real user sessions with sensitive input masked by default
Hacker News5 stories
- Build multi-step funnels with filters and breakdowns to find where users drop off
- Analyze behavior at the account or company level, not just per user, for B2B products
- Explore the paths users actually take before or after a key event
- Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst
- Export all of my data in open formats and leave
docs.mixpanel.com4 stories
- Roll out features behind flags targeted by user properties, cohorts, and percentage rollouts
- Build multi-step funnels with filters and breakdowns to find where users drop off
- Measure retention over time and slice it by behavioral cohorts
- Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
5 of 18 testable claims verified · 0 contradicted → integrity 28/100
29 distinct capability claims found in Mixpanel’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
5
Verified
13
Unverified
0
Contradicted
15
Undersold
Verified (9)
“Measure conversions across a sequence of events (funnel analysis)”
Build multi-step funnels with filters and breakdowns to find where users drop offfullproof ↗
“Engage API exports user profile data”
“Raw export API downloads stored event data complete with all event properties”
“Hosted MCP server gives AI assistants direct access to Mixpanel data”
“Create-Dashboard tool builds a new dashboard with text cards and reports”
Have an agent build a dashboard of my key metrics end-to-end via the API or MCP serverfullproof ↗
“Raw Event Export API is recommended for high-volume exports”
“Query events, funnels, flows, retention, and session replays using natural language, no dashboard navigation needed”
Operate the product with natural-language commandsfullproof ↗
“Export small batches of events as CSV from the Events tab UI for quick analysis”
“Multiple export methods available: CSV from UI or large-volume raw export via APIs”
Unverified (19)
“Retention report assesses user engagement over a chosen time period”
Measure retention over time and slice it by behavioral cohortsfullproof ↗
“Session Replay lets you explore why customers dropped off after a funnel event”
Jump from a funnel drop-off or an error event straight to session replays of the affected userspartialproof ↗
“Session Replay sampling can be managed directly in the UI without code changes or redeploys”
Watch recordings of real user sessions with sensitive input masked by defaultpartialproof ↗
“Warehouse Connectors sync data from Snowflake, BigQuery, Databricks, Redshift, and Postgres into Mixpanel”
Sync events between the platform and my own data warehouse (query warehouse tables in-product or export events continuously to it)partialproof ↗
“Raw Event Export API returns full event data as JSONL”
Run analytical queries and pull raw event data back through a documented query/export APIfullproof ↗
“Deletion and retrieval APIs support GDPR compliance requirements”
“Design, run, and analyze A/B tests and rollouts alongside regular analytics”
Run A/B experiments with goal metrics and statistical significance reported on the resultspartialproof ↗
“Connects product data to company strategy in a single interactive view for team alignment”
Compose saved insights into shareable dashboards for my teampartialproof ↗
“Diagnoses what changed and why in seconds, delivered as a working dashboard”
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
“Properties let you build user cohorts and filter events or users”
Measure retention over time and slice it by behavioral cohortsfullproof ↗
“AI surfaces notable data callouts like a signup dip against otherwise steady growth”
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
“AI spots trends across hundreds of replays and heatmaps to help find the why behind changes”
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
“Save playlists of session replays by event/property with AI-generated summaries for later review”
Watch recordings of real user sessions with sensitive input masked by defaultpartialproof ↗
“Feature Flags API assigns users to variants for experiments, rollouts, and releases”
Have an agent create, target, and toggle feature flags through the API or MCP serverpartialproof ↗
“Feature Flags API assigns users to variants for experiments, rollouts, and releases”
Roll out features behind flags targeted by user properties, cohorts, and percentage rolloutspartialproof ↗
“Create custom queries using JavaScript (JQL)”
Query my raw events with SQL (or an SQL-equivalent query language) inside the platformpartialproof ↗
“Option to process and store customer personal data in Europe via EU Data Residency Program”
Choose where my data is stored (region/residency)fullproof ↗
“Query API can filter/breakdown events, return user profiles, return a user's activity stream, and return cohorts of users”
Run analytical queries and pull raw event data back through a documented query/export APIfullproof ↗
“JQL queries run as a JavaScript main() function executed by the query engine”
Query my raw events with SQL (or an SQL-equivalent query language) inside the platformpartialproof ↗
Undersold (15)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationpartialproof ↗
Drive the product through a documented public APIfullproof ↗
Set up automations that run autonomously in the backgroundpartialproof ↗
Delegate tasks to a built-in AI assistant inside the productpartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Create and manage dashboards and saved insights programmatically via the APIpartialproof ↗
Subscribe to dashboards and get alerted when a key metric moves abnormallypartialproof ↗
Bulk-import historical events from another analytics tool or a data export into the platformpartialproof ↗
Analyze behavior at the account or company level, not just per user, for B2B productspartialproof ↗
Explore the paths users actually take before or after a key eventfullproof ↗
Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analystfullproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Have an agent answer growth questions from live product data by running queries through the API or MCP serverfullproof ↗
Claims outside our story set (2)
Real capability claims found in Mixpanel’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Every data point sent to Mixpanel is stored as JSON”
source ↗“Events represent user-product interactions as the core data model”
source ↗
Business model
Free plan with up to 1M monthly events; Growth is usage-based priced on monthly events, Enterprise is quote-based with add-ons like Session Replay and Data Pipelines.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)