Output
Delivery & integrations
Your organization does not need to reorganize around Behavix. The same processed stream leaves the platform in whichever shape your data, your analysts and your applications already work in.
Four ways out, one dataset
These are not four products. They are four surfaces onto the same processed stream — the same event names, the same brand mapping, the same quality scores. Which one you use is a question about your workflow, not about what you get.
Bulk
Data feeds
For data teams who want the events in their own warehouse.
Live
API
For applications that need to ask at request time.
Ad hoc
Dashboards & chatbot
For the people who need an answer, not a pipeline.
Agentic
MCP server
For teams putting behavioral ground truth inside their own agents.
Data feeds
Into your own bucket
Partitioned Parquet delivered into your bucket on your cadence — hourly or daily. A flat, documented schema, so it lands in your warehouse without a translation layer in between. Backfills are the same files.
s3://your-bucket/behavix/ · synced hourly or daily — your cadence
events_2026_08_13_06.parquet 214 MB ✓ events_2026_08_13_07.parquet 198 MB ✓ events_2026_08_13_08.parquet arriving… partitioned by date and hour schema: flat, documented, analyst-ready
Delivered to AWS S3, to Google Cloud Storage as gs://your-bucket/behavix/, or to another public cloud — your bucket, your region.
API
Asked at request time
Regional endpoints, bearer-token auth, JSON. Query audiences and devices live rather than waiting for the next file to land. The field names are the taxonomy's names.
Audience API · GET /devices
$ curl -H "Authorization: Bearer $API_KEY" \
https://audience-us-east-1.prod.behavix.io/devices
200 OK
[ { "partner_user_id": "user123",
"device_type": "mobile",
"os_name": "Android",
"registration_country": "US", … } ]Dashboards & chatbot
Answers, with their sources
Trackers and dashboards for the recurring questions, and plain-English querying for the rest. Every answer cites the feeds and the query behind it, so a number can be traced back rather than taken on faith.
Behavix chatbot · ask in plain English, get cited numbers
> which retail apps grew US reach fastest last month? Temu +4.2 pts Shein +2.8 pts Amazon +0.9 pts 512,004 consented US panelists · 1–31 Jul 2026 every answer cites the feeds and query behind it
MCP server
Inside your own agents
A Model Context Protocol server your agents query at reasoning time, over the same taxonomy and the same quality scores. Works with any MCP client — no bespoke integration to maintain.
MCP server · behavioral ground truth at reasoning time
{ "mcpServers": { "behavix": {
"url": "https://mcp.behavix.io",
"headers": { "Authorization": "Bearer $API_KEY" } } } }
tools: query_trackers · get_audience · run_sql · fetch_events
works with any MCP clientYour organization does not need to reorganize around Behavix. Behavix fits the way your data, analysts and applications already work.
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