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Intempt
A clam holding a glowing pearl as streams of bubbles flow into it.

Know your events arrived before you leave the code.

Watch events arrive in real time as you test, then stream the same data to your own topic or bucket.

Start for free
Event tracking with a live feed
G2
0.0on G2
10B+events
500M+users
7+years profitable
50+enterprises

Send events from the systems you already use.

Client SDKs, server SDKs, an HTTP endpoint and the platforms you already pay for all reach the same place.

  • Install a client SDK for web, iOS, Android or React Native
  • Call a server SDK from Node, Python or PHP, or post to the HTTP API
  • Pull from Shopify, Stripe, HubSpot or a scheduled feed
Send events from the systems you already use

Keep every customer event consistent.

The fields that describe an event are checked when it arrives, not on a job that runs overnight.

  • Name the event, stamp the time and identify who did it
  • Group a visit with a session ID and a company with an account ID
  • Get the check on arrival
Keep every customer event consistent

Know your tracking works before you ship.

A live feed shows events arriving in real time, so you confirm the call in the moment.

  • Pause, resume or clear a live feed of raw events
  • Open any event and read the payload it actually sent
  • Turn a live row into a saved event with its properties mapped
Know your tracking works before you ship

Keep failed events from becoming lost data.

Every event carries an ID, so a retry does not become a second conversion.

  • Deduplicate on event ID with nothing to build
  • Skip writing your own batching, ordering and retry logic
  • Replay a failed request without inflating a number
Keep failed events from becoming lost data

Use events soon after they arrive.

Recent events stay fast to read and history stays fast to scan.

  • Analyse an event within seconds of it arriving
  • Trigger a journey as the event lands
  • Skip the nightly job and the separate real-time tier
Use events soon after they arrive

Move events when your team needs them.

The same enriched record goes to a topic as it happens, or to a bucket on a window.

  • Publish each event to a Kafka topic your systems already watch
  • Write the same events to a bucket your warehouse reads
  • Pick the mode per destination, so you pay for speed once
Move events when your team needs them

Use cases built for the metrics that matter.

Three outcomes data teams measure from day one.

Events streamed to a Kafka topic, with delivery and replay on failure

Wired into the toolsyour team already opens.

Slack, Stripe, Twilio, SendGrid, Gmail, Google Calendar, Firebase, Apache Kafka, AWS. Blu Agent operates them for you without a browser tab.

See every integration
JavaScript
Node JS
Apple
Stripe
Gmail
Google Calendar
Google Meet
Twilio
SendGrid
Slack
Amazon SES
Webhook
Apache Kafka
Amazon S3
Firebase Cloud Messaging

Teams love it

They stopped stitching tools andhired one system.

StockInvest

Acquisition and retention are one connected motion. Personalizing the path before signup only pays off when the same system carries the user through onboarding afterward.

Anonymous traffic was not turning into registered users, and acquisition and retention were run as two separate problems. We ran Experiences on the anonymous visitor flow to put the right content and CTAs in front of each visitor, then handed new signups to automated Journeys for onboarding and deeper engagement.

455,396

users instrumented

Read the full research
FieldsUSA

Judge experiments on revenue per visitor instead of conversion rate. A variant can win on conversions and still lose on revenue, and repeat buying only shows up when the whole journey is in one view.

High-intent shoppers browsed a large, specialized outdoor catalog, and browsing, product interest and purchase history sat in different places. We unified them into one customer view, then ran real-time personalization, intent-based segmentation and timely follow-ups on top of it, judging experiments on revenue per visitor.

Read the full research
Hoperfy

Build the pipeline on observed signals. When follow-ups trigger on intent, the team spends its time on the users who are genuinely engaging.

Static lead lists and timeline-based follow-ups were hiding who was actually engaging. We ran a signal-led outbound pipeline where follow-ups fire on real behavior: outbound replies, onboarding progress and product usage.

Read the full research

Frequently askedquestions.

You watch it. Usually a client opens a dashboard and asks why a number looks wrong, which is a bad way to learn. The live feed means you can click through the flow yourself and see which call never fires, and connection status shows you a source that stopped sending.

Intempt Data

Confirm your first event in one session.

Pick a source and install it. Send autotracked events, then add your own. Watch the live feed to confirm they arrive. Point the stream at a topic, a bucket, or both.

Start for free