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Jitsu

Open SourceYC S20

Jitsu Labs Inc.

jitsu.com ↗Try it →
PA Score35/100AGENT-READY47/100BUILT-IN AI26/100API4/100
MCP✓CLI✓API~
★ 5.1k▲ 831/yrnpm 16k/wk
ArenasCustomer Data Platforms#1/5

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Showcase

Jitsu homepage screenshot
homepage · captured Sep 2026 · view live ↗
Jitsu docs screenshot
docs · captured Sep 2026 · view live ↗

Try itExperimental

See what an agent can do with Jitsu before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -si -X POST https://use.jitsu.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'recorded session — replayed, not live
recorded 2026-09-08 · exit 0 · captured verbatim by our probe harness, secrets redacted

Verified integrations

Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.

Airbyte logoAirbyteData Pipelines & ELTBigQuery logoBigQueryData Warehouses & LakehousesClickHouse logoClickHouseServerless & Developer DatabasesDatadog logoDatadogObservability & MonitoringGrafana logoGrafanaObservability & MonitoringNew Relic logoNew RelicObservability & MonitoringReact logoReactFrontend FrameworksSnowflake logoSnowflakeData Warehouses & Lakehouses

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

33.5/100

Ai cdp — stories about ai cdp in this arenaAi cdpevidence →

Stories about ai cdp in this arena

52.0/100

Audiences activation — stories about audiences activation in this arenaAudiences activationevidence →

Stories about audiences activation in this arena

5.1/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

28.5/100

Destinations integrations — stories about destinations integrations in this arenaDestinations integrationsevidence →

Stories about destinations integrations in this arena

36.0/100

Event collection — stories about event collection in this arenaEvent collectionevidence →

Stories about event collection in this arena

49.7/100

Identity resolution — stories about identity resolution in this arenaIdentity resolutionevidence →

Stories about identity resolution in this arena

30.0/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

58.0/100

Pipeline observability — stories about pipeline observability in this arenaPipeline observabilityevidence →

Stories about pipeline observability in this arena

42.0/100

Privacy consent — stories about privacy consent in this arenaPrivacy consentevidence →

Stories about privacy consent in this arena

6.9/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

12.0/100

Replay portability — stories about replay portability in this arenaReplay portabilityevidence →

Stories about replay portability in this arena

18.0/100

Transformations quality — stories about transformations quality in this arenaTransformations qualityevidence →

Stories about transformations quality in this arena

52.0/100

Warehouse native — stories about warehouse native in this arenaWarehouse nativeevidence →

Stories about warehouse native in this arena

54.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 4 free · 0 paid · 0 enterprise · 31 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 51/51 stories · click a row’s chevron for the rationale and evidence

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full9/10T⚿

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partial6/10T⚿

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10⚿

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10⚿

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T⚿

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T⚿

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T⚿

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10C

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10T⚿

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10⚿

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1partial5/10C

Raw events and profiles land in my own warehouse or lake (Snowflake, BigQuery, ClickHouse, S3) on a schedule I control C

Warehouse sync

data engineerWarehouse native — stories about warehouse native in this arenaWarehouse native3full9/10C

An agent can manage the pipeline itself — create sources and destinations, wire streams, inspect deliveries — through a documented API or MCP server C

Agent pipeline

ai-native userAi cdp — stories about ai cdp in this arenaAi cdp3full8/10T⚿

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3fullfree8/10T

Collect events from web, mobile, and server apps through official SDKs that implement a documented tracking spec (track, identify, page) C

Sdks

data engineerEvent collection — stories about event collection in this arenaEvent collection3partial6/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial6/10X

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partialfree6/10T

Route events to a large catalog of documented destination integrations with per-destination mapping and filtering C

Destinations

data engineerDestinations integrations — stories about destinations integrations in this arenaDestinations integrations3partial6/10X

Anonymous and known activity stitches into one customer profile across devices, with documented and configurable identity-resolution rules C

Stitching

data engineerIdentity resolution — stories about identity resolution in this arenaIdentity resolution3partial5/10C

An agent can query customer data and create or activate audiences end to end through documented APIs or MCP — no dashboard in the loop C

Agent audiences

ai-native userAi cdp — stories about ai cdp in this arenaAi cdp3partial4/10T⚿

Build audiences from traits and behavior in a visual builder — no SQL required — and see estimated size before activating C

Audiences

marketerAudiences activation — stories about audiences activation in this arenaAudiences activation3none0/10

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3none0/10

User consent is captured and enforced across destinations — opt-outs and consent categories are honored downstream automatically C

Consent

privacy leadPrivacy consent — stories about privacy consent in this arenaPrivacy consent3noneuntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2fullfree8/10T

Send events server-to-server through a documented HTTP ingestion API with authentication and delivery guarantees C

Ingest

data engineerEvent collection — stories about event collection in this arenaEvent collection2full8/10T

Transform, filter, and enrich events in-pipeline with custom code or functions before they reach destinations C

Transformations

data engineerTransformations quality — stories about transformations quality in this arenaTransformations quality2full8/10C

Watch events flow live and diagnose delivery failures per destination — debugger views, delivery metrics, and alerting C

Observability

data engineerPipeline observability — stories about pipeline observability in this arenaPipeline observability2partial7/10C

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial6/10T⚿

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2partialfree5/10T

Query unified customer profiles — traits, identifiers, event history — through a documented profile API or store C

Profiles

data engineerIdentity resolution — stories about identity resolution in this arenaIdentity resolution2partial5/10T

A tracking plan or schema is enforced — violating events get flagged, blocked, or quarantined instead of silently corrupting downstream data C

Data quality

data engineerTransformations quality — stories about transformations quality in this arenaTransformations quality2partial4/10C

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2partial4/10C

Control PII flow per destination — hashing, masking, and field-level filtering of sensitive attributes C

Pii controls

privacy leadPrivacy consent — stories about privacy consent in this arenaPrivacy consent2partial4/10C

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial4/10C

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial4/10C

Computed traits and predictive scores (LTV, churn or purchase propensity) are calculated on profiles and usable in targeting C

Traits

marketerAudiences activation — stories about audiences activation in this arenaAudiences activation2partial3/10C

Replay archived events into a new destination or backfill history when a tool is added or a pipeline breaks C

Replay

data engineerReplay portability — stories about replay portability in this arenaReplay portability2partial3/10C

Audiences sync to ad platforms and engagement tools continuously, with membership entering and exiting in near-real-time C

Activation

marketerAudiences activation — stories about audiences activation in this arenaAudiences activation2none0/10

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Process user deletion and suppression requests (GDPR/CCPA) and have them forwarded to connected destinations C

Deletion

privacy leadPrivacy consent — stories about privacy consent in this arenaPrivacy consent2none0/10

Run warehouse-native: define models and audiences on tables already in my warehouse and activate them without re-collecting the data (reverse ETL) C

Composable

data engineerWarehouse native — stories about warehouse native in this arenaWarehouse native2none0/10

AI decisioning agents pick messages, timing, and channels per customer autonomously within guardrails I set, with measurable lift C

Ai decisioning

ai-native userAi cdp — stories about ai cdp in this arenaAi cdp2n/auntestednone yet

Describe an audience in natural language and AI builds the segment definition for review, grounded in my actual schema C

Ai assist

ai-native userAi cdp — stories about ai cdp in this arenaAi cdp2n/auntestednone yet

Pull customer data in from third-party cloud apps and feeds — not just my own instrumented apps C

Sources

data engineerEvent collection — stories about event collection in this arenaEvent collection1partial5/10X

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1partial4/10C

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 38 stories with headroom

What would move Jitsu’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.

  1. Agenticness — how well agents can access and operate the productDelegate tasks to a built-in AI assistant inside the product

    nonemoves Built-in AIimpact 45

    Jitsu documents an MCP server that lets external AI agents control the pipeline (create destinations, edit functions, etc.), but this is the reverse of the story — it makes Jitsu controllable BY agents, not a built-in assistant users delegate tasks to within Jitsu's own UI.

  2. 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 shows Jitsu operates as an MCP *server* — 'Jitsu runs an MCP server, so AI agents can manage your pipeline directly' (jitsu-docs-19, jitsu-probe-rt-1) — which is the opposite role from what this story asks (Jitsu acting as an MCP *client* that plugs in and uses external MCP servers' tools).

  3. Privacy consent — stories about privacy consent in this arenaUser consent is captured and enforced across destinations — opt-outs and consent categories are honored downstream automatically

    nonemoves PA Scoreimpact 30

    No evidence anywhere in the pack describes consent capture, consent-category mapping, opt-out enforcement, or CMP/consent-signal propagation to destinations.

  4. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    Jitsu's security page covers encryption, SOC2 compliance, and DPA/SCC agreements, but nothing in the evidence pack addresses whether customer event data is used to train AI models or how a user could opt out of such use.

  5. Audiences activation — stories about audiences activation in this arenaBuild audiences from traits and behavior in a visual builder — no SQL required — and see estimated size before activating

    nonemoves PA Scoreimpact 30

    Jitsu's evidence shows a 'Profile Builder' that generates customer profiles from traits/events, but this is developer-driven (JS functions) and warehouse/SQL-oriented, not a marketer-facing visual audience builder with no-SQL segment creation or size-before-activation preview.

  6. Agenticness — how well agents can access and operate the productGet AI-generated insights and suggestions from my data inside the product

    nonemoves Built-in AIimpact 30

    Jitsu's AI-related evidence is limited to an MCP server that lets external AI agents configure the pipeline (create destinations, streams, edit functions) — this is agentic control of infrastructure, not the product generating insights or suggestions from the data itself.

  7. Agenticness — how well agents can access and operate the productSubscribe to events via webhooks

    nonemoves agent-readyimpact 30

    Evidence shows Jitsu can *receive* data via webhook (e.g., a Segment webhook destination sending data into Jitsu) and can deliver events to various destinations, but there is no evidence of an outbound webhook subscription mechanism that lets an AI-native consumer subscribe to Jitsu's own event stream.

  8. Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples

    nonemoves API qualityimpact 30

    No evidence of an interactive API reference with runnable examples; only static HTTP API docs mentioning sending data via HTTP, and probes for OpenAPI/Swagger specs at Jitsu's docs domain all returned 404s.

Showing the top 8 of 38 — 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 map12 surfaces · 35 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

docs32 stories

GitHub README17 stories

Changelog docs9 stories

docs.jitsu.com9 stories

jitsu.com9 stories

Hacker News6 stories

Features docs6 stories

OpenAPI spec5 stories

Pricing docs4 stories

llms.txt3 stories

Security docs3 stories

Integrations docs1 story

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -si -X POST https://use.jitsu.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced
$ curl -si -X POST https://use.jitsu.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'
HTTP/2 401

date: Tue, 08 Sep 2026 22:00:14 GMT

content-type: application/json; charset=utf-8

content-length: 96

x-frame-options: DENY

x-content-type-options: nosniff

referrer-policy: strict-origin-when-cross-origin

permissions-policy: camera=(), microphone=(), geolocation=(), browsing-topics=()

www-authenticate: Bearer realm="jitsu-mcp", error="missing_[redacted]", error_description="Authorization header either missing or malformed", resource_metadata="https://use.jitsu.com/.well-known/oauth-protected-resource"

etag: "va5atzba9y2o"

vary: Accept-Encoding

strict-transport-security: max-age=31536000; includeSubDomains

{"error":"missing_[redacted]","error_description":"Authorization header either missing or malformed"}
proves: Connect an agent via an official MCP serverproves: An agent can manage the pipeline itself — create sources and destinations, wire streams, inspect deliveries — through a documented API or MCP serverrecorded 2026-09-08
$mktemp -d && npm install @jitsu/js && node -e "import('@jitsu/js').then(m=>console.log('PA_PROBE_OK jitsu jitsuAnalytics:', typeof m.jitsuAnalytics))"reproduced
$ mktemp -d && npm install @jitsu/js && node -e "import('@jitsu/js').then(m=>console.log('PA_PROBE_OK jitsu jitsuAnalytics:', typeof m.jitsuAnalytics))"

added 13 packages in 157ms
PA_PROBE_OK jitsu jitsuAnalytics: function
proves: Build against official SDKsproves: Collect events from web, mobile, and server apps through official SDKs that implement a documented tracking spec (track, identify, page)recorded 2026-09-08
$git clone --depth 1 https://github.com/jitsucom/jitsu.git # then list root files, LICENSE head, docker-compose.ymlreproduced
$ git clone --depth 1 https://github.com/jitsucom/jitsu.git  # then list root files, LICENSE head, docker-compose.yml
Cloning into '/tmp/pa-jitsu'...
--- root files ---
AGENTS.md
CHANGES.md
CLAUDE.md
CONTRIBUTING.md
JITSU_FUNCTIONS_DEPLOYMENT.md
JITSU_FUNCTIONS_PIPELINE.md
LICENSE
README.md
THIRD-PARTY-LICENSES.md
all.Dockerfile
build-fs.sh
build-rotor.sh
builder.Dockerfile
bulker
--- license ---
MIT License

Copyright (c) 2021 Jitsu Labs, Inc
--- compose ---
ls: /tmp/pa-jitsu/docker-compose.yml: No such file or directory
proves: Self-host the core productproves: Read the product's source under an open licenserecorded 2026-09-08

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

10 of 19 testable claims verified · 1 contradicted → integrity 42/100

34 distinct capability claims found in Jitsu’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

10

Verified

8

Unverified

1

Contradicted

17

Undersold

Verified (13)
Unverified (12)
Contradicted (1)
Undersold (17)
Claims outside our story set (9)

Real capability claims found in Jitsu’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.

  • “Setup requires only adding a single tracking tag/snippet”

    source ↗

  • “Can receive a webhook feed from Segment and deliver it to your DB in real time”

    source ↗

  • “Buffers events in Kafka during warehouse downtime and delivers once it's back”

    source ↗

  • “Automatically deduplicates repeated event sends”

    source ↗

  • “Customer data is encrypted at rest (AES-256) and in transit (TLS)”

    source ↗

  • “Jitsu is SOC 2 compliant”

    source ↗

  • “Can add a plugin to send a copy of existing tracked data to Jitsu without changing frontend code, for gradual migration”

    source ↗

  • “Includes a built-in functions debugger/editor to test functions against sample data”

    source ↗

  • “DPA and SCC documents are available for data-processing/compliance needs”

    source ↗
Suggest a story for these →

Business model

open-sourcefree-tierusage-basedenterprise-custom

MIT-licensed and self-hostable; Jitsu Cloud is free up to 200K active events/month, Business is $99/month for 2M events then $40 per additional 1M, and Enterprise (private cloud/on-prem) is custom.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 8 '26 — no movement recorded yet
Agent-readytracked since Sep 8 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

This page as markdown/llms.txt

Data

Evidence (JSON)Verdicts (JSON)
⚿ auth1 auth-gated probe

Agent surface uptime MCP up · llms.txt up (tracking since Sep 10 '26)