Text Request Integrations, Built by an AI Agent
Put Text Request to work with AI and enterprise-grade automation
Google for Startups AcceleratorNo Text Request connector? The Agent builds one.
Web search for Text Request's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.
Try Knit FreeNot a block library. Real code.
Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Text Request integration code for your exact logic.
Legacy iPaaS
- Fixed library of pre-built steps — drag, drop, configure around the edges
- Capped by whatever the vendor's already built
- AI features bolted on after the fact
Knit Integrations Agent
- Real, inspectable code for your exact Text Request logic
- Auto-builds a missing Text Request connector itself
- Native LLM connectors built in, not bolted on
from knit import Knit
client = Knit(api_key=KNIT_API_KEY)
@client.on("keyword-subscribed")
def create_contact(event):
return client.phone_&_sms.create_contact(
integration_id=TEXT_REQUEST_INTEGRATION_ID,
record_id=event["id"],
fields={
"source": "Text Request",
"synced_at": event["updated_at"],
},
# ...maps the event to a real "Create Contact" call
)
Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.
Skip the engineering. Ship the workflows.
See what you can build with Text Request on Knit
See the APIs & webhooks enabling Text Request Integrations
The real endpoints Knit's Agent can call to turn a plain-English use case into working Text Request Integration code
Triggers when user subscribes to a keyword.
Triggers when user unsubscribes from a keyword.
Triggers when an outbound message delivery status changes (e.g. delivered, undelivered, failed). This is not the same as "New Message Sent", which fires when Text Request accepts the send.
Triggers when a Text Request payment request status changes (e.g. Sent, Paid, Cancelled, Failed). Use order_reference (not legacy reference_id) when matching accounting or billing systems.
Triggers when a new contact is created.
Triggers when a new message is received.
Creates a new contact.
Adds/Removes Contact Custom Field to/from an existing contact.
Adds/Removes Contact Group to/from an existing contact.
Adds/Removes Contact Tag to/from an existing contact.
Creates new Custom Field for your dashboard.
Adds Contact Group to your Text Request dashboard.
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Enterprise-grade security
Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about the Text Request automation
Is there a pre-built Text Request automation?
Not yet — Text Request isn't in Knit's Unified API or MCP Servers catalog today, so there's no pre-built connector for it either. The Integrations Agent can build the real automation (and the connector powering it) on demand instead of you waiting on our roadmap.
How does the Agent actually build the Text Request connector?
It researches Text Request's real public API documentation — authentication, endpoints, data schema — and writes a working connector against that real surface. You can also upload your own docs if Text Request's aren't public.
How long does it take?
Minutes to build a first working version, not weeks — you test it against real Text Request data before it goes anywhere near production.
What happens after the Agent builds it?
You own it. It runs the same way any Knit-built connector does — you are not left maintaining hand-rolled integration code yourself.
Could Text Request become a real pre-built connector later?
Yes — as apps get built and used through the Agent, the highest-demand ones are natural candidates to join the pre-built Unified API/MCP Servers catalog directly.