Brand Engineering Onboarding (Hushh Agentic Developer APIs)

This guide is for enterprise brand engineering teams at LVMH, Reliance, and similar groups. It explains how to activate consented customer intelligence using Hushh Agentic Developer APIs orchestrated by MuleSoft.

Outcomes (product)

Faster onboarding with fewer forms and higher opt-in rates
Rich customer profiles that power personalization and clienteling
A consistent consent and audit model across brands and regions

Architecture (engineering)

Brand app or data pipeline
  -> Hushh Agentic Developer APIs (/api/a2a)
  -> MuleSoft agent mesh (JSON-RPC 2.0)
  -> Public + Gemini enrichment
  -> Supabase profile create/query/update
  -> Brand CRM normalization
  -> CRM / CDP / personalization

All profile access requires explicit user consent. Request consent before enrichment or activation.

Guided onboarding

1) Create your developer account

Set up your org profile so consent prompts display your brand identity.

2) Verify your data flows

Confirm your profile creation and query calls in the sandbox.

3) Enable enrichment

Turn on Public Data and Gemini Data agents for higher-confidence profiles.

4) Normalize brand affinities

Use the Brand User Data Query Agent to produce CRM-ready likes and dislikes.

5) Optional: Plaid signals

If enabled, map Plaid merchant and category data into brand affinity fields before CRM activation.

End-to-end example (Sundar Pichai)

Create a profile

POST /api/a2a/hushh-profile
Content-Type: application/json
 
{
  "text": "Create a profile for Sundar Pichai, email sundar.pichai@example.com, phone +1 6505559001."
}

Enrich with OpenAI and Gemini

POST /api/a2a/public
Content-Type: application/json
 
{
  "text": "Provide a detailed JSON profile for Sundar Pichai, email sundar.pichai@example.com, phone +1 6505559001."
}

POST /api/a2a/gemini
Content-Type: application/json
 
{
  "text": "Provide a detailed JSON profile for Sundar Pichai, email sundar.pichai@example.com, phone +1 6505559001."
}

Normalize likes, dislikes, and brand affinity

POST /api/a2a/brand
Content-Type: application/json
 
{
  "text": "Summarize likes, dislikes, and brand affinity for Sundar Pichai."
}

Merge and activate

Merge in this order for best accuracy: brand -> hushh -> public -> gemini

Why this matters for LVMH and Reliance

LVMH

Cross-maison clienteling with verified preferences
Premium experiences powered by consented signals
Higher conversion in VIP outreach and private events

Reliance

Unified profiles across retail, telecom, and digital ecosystems
Faster segmentation for loyalty and omnichannel engagement
Lower cold-start friction for new users and regions

Next steps

Review agent endpoints in pages/developer-Api/rootEndpoints.mdx
See detailed agent behavior in pages/developer-Api/agent-reference.mdx
Explore the profile pipeline in pages/developer-Api/data-retrieval-insertion.mdx

Documentation Agentic Endpoints