Comparison

Agentry vs Amplitude

Amplitude is a polished behavioural analytics platform built for product managers and growth analysts: rich cohort builder, Pathfinder exploration, predictive segments, mature integrations. Agentry covers the same core surface — funnels, retention, cohorts — through HogQL queried by an AI agent in your editor, plus errors and deploys Amplitude doesn't see. Pick the interface model that matches who actually asks the questions.

TL;DR

Pick Amplitude if

  • PMs, growth marketers, or designers need to build reports without involving engineering
  • You rely on behavioural cohorts (sequence-based, "users who did A then B but not C")
  • You want predictive cohorts and Amplitude's AI-assisted exploratory analysis
  • Mobile native SDKs with offline event buffering matter (iOS, Android, RN)
  • You need mature CDP integrations (Segment, mParticle, Iterable, Braze)

Pick Agentry if

  • The same person writes the code and asks the analytics question
  • Your "analyst" is increasingly your AI agent — Cursor, Claude Code, Codex
  • You want errors + deploys + analytics correlated in one query plane
  • HogQL (real SQL) as an escape hatch beats clicking through a UI
  • You don't want to ship Amplitude's SDK into your client

Feature comparison

Capability Amplitude Agentry
Funnels Yes — flagship UI Yes — HogQL via agent
Retention Yes — N-day, unbounded, custom Yes — HogQL via agent
Cohorts (basic) Yes — rich UI builder Yes — agentry_create_cohort + HogQL
Behavioural cohorts (sequence-based) Yes — native UI Via HogQL only — no dedicated builder
Predictive cohorts Yes No
Exploratory user-journey analysis Pathfinder (mature) Agent-driven HogQL exploration
Mobile native SDKs (iOS / Android / RN) Yes — with offline buffering No
Web autocapture Yes No — explicit instrumentation
Error monitoring No First-class (cases, fingerprints, suppressions)
Deploy attribution No First-class, auto-correlated
Public embeddable dashboards Limited (paid tier) Yes — agp_ key, CORS-open
Pricing model Free to ~10M events; per-MTU after Free during beta, usage-based later

When Amplitude is the right call

Amplitude is the right tool when product analytics is a practice your organisation invests in — with PMs, growth analysts, and marketers whose daily work is building cohorts, slicing funnels, and exploring user paths in a polished UI. The behavioural cohort builder ("users who did X then Y within 7 days but didn't do Z") and Pathfinder for exploratory journey analysis are years ahead of anything Agentry tries to do. If your team is already trained on Amplitude's mental model, the switching cost rarely pays for itself.

Amplitude also wins on the data-platform edges: predictive cohorts, AI-assisted exploratory analysis, deep CDP integrations (Segment, mParticle, Iterable, Braze), and mature mobile native SDKs with offline event buffering. SOC 2, HIPAA, and GDPR are all in place. None of those are Agentry's strengths.

If your debug ritual is "the PM opens Amplitude, builds a cohort, files a ticket for engineering" — stick with Amplitude. Routing those questions through an editor-based agent is the wrong shape.

When Agentry is the right call

Agentry is the right tool when the same person writing the code is the one asking the analytics question. In that workflow, opening Amplitude is friction — you want to ask "what's day-7 retention for users who hit the new pricing page?" in the same Cursor or Claude Code conversation you're already in, get the HogQL result back, and keep working. Agentry exposes the analytics surface through MCP tools (agentry_analytics_query, agentry_list_event_names, agentry_get_distinct_id_summary, agentry_run_recipe), so the agent picks the right one without you context-switching.

The combined-signal angle is the bigger win. Amplitude doesn't do errors or deploys. So "did the deploy I shipped on Tuesday cause the activation funnel to drop?" requires cross-referencing Amplitude with Sentry with your CI history. In Agentry, that's one prompt — the feature-launch-adoption recipe shows the loop.

Agentry also gives you raw HogQL as an escape hatch and public embeddable dashboards via agentry_publish_query + the agp_ key — useful when you want to share a metric outside the team without paying for seats.

Migrating from Amplitude

Agentry's /v1/analytics/<project_id>/ endpoint accepts a PostHog-shaped payload — the mapping from Amplitude's logEvent(name, props) is one-to-one: name → event, Amplitude's user_id → distinct_id, properties pass through. You don't have to migrate all at once; dual-write to both for a week, compare what you get, then cut over.

These recipes cover the Amplitude use cases most product teams care about:

Try Agentry against your real data.

Dual-write for a week. Compare. Switch if it's better. The agent handles install — you just paste one prompt.

Install https://agentry.sh/agentry.md and set it up
Agentry vs Sentry → Agentry vs PostHog → Agentry vs Mixpanel → Agentry vs Datadog → Agentry vs LaunchDarkly → Agentry vs LogRocket → Agentry vs Highlight.io →