For Agents
Send WhatsApp messages, manage contacts and tags, and orchestrate customer-care conversations through the AI Number platform.
Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the AI Number API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with AI Number API.
Send approved WhatsApp template messages to contacts via /conversations/messages/templates/send
Send free-form customer-care replies inside the 24-hour service window
Create, update, and tag contacts to drive segmentation and routing rules
GET STARTED
Use for: Send a WhatsApp template message to a contact, I want to create a new contact in AI Number, List all open conversations assigned to my team, Tag a contact as a high-value lead
Not supported: Does not handle SMS, voice calls, or email — use for WhatsApp Business messaging and contact management only.
Jentic publishes the only available OpenAPI specification for AI Number API, keeping it validated and agent-ready. AI Number, formerly Sendbee, is a WhatsApp Business messaging platform for managing teams, contacts, and conversations across customer support and outbound campaigns. The API exposes 20 endpoints covering team rosters, contact records with tags and custom fields, conversation threads, customer-care messages, and approved template messages. Authentication uses paired authToken and X-API-Key headers.
Define custom contact fields to capture business-specific attributes
List and reassign conversation folders to balance team workload
Pull message history for a conversation to feed AI summarisation
Patterns agents use AI Number API for, with concrete tasks.
★ WhatsApp Customer Support Automation
Operate a WhatsApp-first support inbox where agents and bots handle inbound conversations through the same API. List open threads with /conversations, pull full transcripts via /conversations/messages, then reply with /conversations/messages/send while the customer-care window is open. Outside the window, fall back to approved templates.
List the 5 oldest unread conversations, summarise each with their last 10 messages, and post a customer-care reply to the first one acknowledging receipt
Outbound WhatsApp Campaigns with Templates
Send approved WhatsApp template messages to a tagged contact list — for order confirmations, appointment reminders, or re-engagement. The template send endpoint accepts variable substitutions per recipient, and tag-based contact filtering keeps the audience tight.
Find all contacts tagged 'reminder_due', then send the appointment_reminder template to each with their first name as the variable
Contact Enrichment and Segmentation
Build a tagged, custom-field-rich contact database that doubles as a CRM lite for messaging. Create custom fields with /contacts/fields, tag contacts based on lifecycle stage, and update records as conversations evolve so subsequent messages can be targeted by attribute.
Create a custom field called 'plan_tier' of type string, then update contact c_777 setting plan_tier=premium and add the tag 'vip'
AI Agent WhatsApp Operator
An agent triages an inbound WhatsApp conversation through Jentic — fetching the thread, drafting a reply, and posting it back to the customer without operator handoff. Jentic handles the auth pairing (authToken plus X-API-Key) so the agent only sees scoped operations.
Search Jentic for 'send whatsapp customer care message', load the schema for /conversations/messages/send, and post a reply to conversation conv_123 saying 'Your order has shipped'
20 endpoints — jentic publishes the only available openapi specification for ai number api, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
/conversations/messages/send
Send a customer-care WhatsApp message
/conversations/messages/templates/send
Send an approved WhatsApp template message
/conversations
List conversation threads
/conversations/messages
List messages within a conversation
/contacts/subscribe
Create a new contact
/contacts
List contacts
/contacts/tags
Create a contact tag
/conversations/messages/send
Send a customer-care WhatsApp message
/conversations/messages/templates/send
Send an approved WhatsApp template message
/conversations
List conversation threads
/conversations/messages
List messages within a conversation
/contacts/subscribe
Create a new contact
Three things that make agents converge on Jentic-routed access.
Credential isolation
AI Number requires both an authToken and an X-API-Key header. Jentic stores both encrypted in the vault and injects them at call time, so agents never handle the raw secrets.
Intent-based discovery
Agents search Jentic by intent (e.g. 'send a whatsapp template') and receive the matching AI Number operation with its input schema, removing the need to browse Sendbee documentation.
Time to first call
Direct AI Number integration: 1-3 days for paired auth, template approval handling, and conversation pagination. Through Jentic: under 1 hour.
Alternatives and complements available in the Jentic catalogue.
Specific to using AI Number API through Jentic.
Why is there no official OpenAPI spec for AI Number API?
AI Number does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call AI Number API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.
What authentication does the AI Number API use?
AI Number requires two paired headers: authToken and X-API-Key. Both are stored encrypted in the Jentic vault, so agents calling AI Number through Jentic receive scoped access without ever seeing the raw credentials.
Can I send a WhatsApp template message with the AI Number API?
Yes. POST /conversations/messages/templates/send dispatches an approved template to a contact, with variable substitutions for personalised content. Use GET /conversations/messages/templates first to confirm which templates are approved.
What are the rate limits for the AI Number API?
Rate limits are not declared in the spec and are governed by the underlying WhatsApp Business platform. For high-throughput sending, batch by contact tag and respect WhatsApp's per-template messaging quality rating.
How do I send a customer-care reply with the AI Number API through Jentic?
Run pip install jentic, search Jentic for 'send whatsapp customer care message', load the schema for POST /conversations/messages/send, then execute with the conversation ID and message body. Jentic injects both the authToken and X-API-Key headers.
Can I tag and segment contacts through the AI Number API?
Yes. Create tags with POST /contacts/tags and custom fields with POST /contacts/fields, then PUT /contacts to update individual records. Tags and fields can both be used as filters when targeting outbound campaigns.
/contacts
List contacts
/contacts/tags
Create a contact tag