AI AGENTS

Build agentic data workflows with Weld.

Give AI agents programmatic control over your data infrastructure. Use the Weld Connect API to create pipelines, trigger dbt Cloud or Core runs, orchestrate with Dagster or Airflow, and activate data — all autonomously.

Get started for free Explore Weld Connect API

agent_workflows

5 tasks

agents active

TASKAGENTAPI CALLSTATUS

Create HubSpot sync

Sales AgentPOST /elt_syncs

1.2s

Run dbt staging models

Analytics Agentwebhook → dbt Cloud

2m 14s

Build customer_ltv model

Copilot + dbt Coredbt run --select

1m 08s

Activate to Salesforce

RevOps AgentPOST /reverse_etl

4.8s

Orchestrate full pipeline

Dagster + Weld APItrigger_workflow

6m 32s

pipeline agent → API → dbt → activate

fully autonomous

Loved by data teams from around the world

AI AGENTS

Build agentic data workflows

From API-driven pipeline creation to AI-assisted model development — explore how agents interact with Weld.

Weld Connect API

AGENTIC API FLOW

POST

/connections

Agent creates a new data source connection

POST

/elt_syncs

Agent configures sync with selected tables

POST

/elt_syncs/:id/run

Agent triggers an immediate sync run

GET

/elt_syncs/:id/status

Agent monitors sync status until complete

POST

/webhooks

Agent sets up webhook to trigger dbt after sync

REST API · programmatic controlagent-ready

VS Code + dbt

-- models/marts/customer_ltv.sql

{{ config(
  materialized='table'
) }}

SELECT
  c.customer_id,
  SUM(o.amount) AS lifetime_value
FROM {{ ref('stg_customers') }} c
JOIN {{ ref('stg_orders') }} o
GROUP BY 1

GitHub Copilot autocompletes dbt models

Claude Code generates models from descriptions

Weld syncs data → dbt transforms → agents activate

dbt Cloud + dbt CoreVS Code native

Pipeline Orchestration

AGENT-DRIVEN WORKFLOWS

Dagster

Asset-based orchestration

Airflow

DAG-based scheduling

Prefect

Flow-based automation

AGENTIC FLOW

Agent→Weld API→Orchestrator→dbt run→Activate

Fully programmableagent-orchestrated

Copilot, Cursor & VS Code

AI-POWERED MODEL DEVELOPMENT

GitHub Copilot

Autocomplete dbt models and SQL transforms in VS Code

Cursor

AI-native editor — generate models from natural language prompts

Claude Code

Agentic coding — scaffold entire dbt projects from descriptions

VS Code + dbt

Use dbt Power User or any extension with Weld orchestration

DEPLOY FLOW

Editor→git push→Weld deploy→dbt run

Push to deployAI-native workflows

Agent-Driven Activation

REVERSE ETL DESTINATIONS

Salesforcesynced

HubSpotsynced

Google Adssynced

Slacksynced

WORKFLOW

Agents use the Weld API to configure reverse ETL syncs, pushing transformed warehouse models into operational tools automatically.

Agent → Weld API → Reverse ETLautomated

EXTRACT

Bring all your data together

Connect your SaaS apps, ERPs, and databases with reliable, prebuilt connectors — agents can provision these programmatically via the API.

Shopify

Salesforce

Quickbooks

HubSpot

Monday.com

Facebook Ads

Google Ads

PostgreSQL

Airtable

Amazon Selling Partner API

→ View connector

Klaviyo

→ View connector

Google Analytics 4

→ View connector

View all Popular connectors

RESOURCES

Get started with AI agents

Docs, APIs, and guides to build agentic data workflows with Weld.

WELD CONNECT API

API documentation→

Full REST API for programmatic pipeline control.

DBT CLOUD

dbt Cloud setup guide→

Orchestrate dbt Cloud jobs via webhooks from Weld.

TRANSFORM

Data transformation→

dbt, SQL, and AI-assisted transformation options.

ACTIVATE

Reverse ETL→

Push transformed data back into operational tools.

CUSTOMER STORIES

The latest success stories from data-driven companies

How Flatpay optimized marketing efficiency with Weld

“One of the biggest impacts has been unlocking new ways to buy media. Before, we didn’t have the data to back up strategic decisions – now we do.”

Read the full story

Jacob Poulsen, Head of Marketing Expansion at Flatpay

How Holafly transformed data management and scaled globally with Weld

“Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.”

Read the full story

Rodrigo Andres Valle, Data Engineer at Holafly

How Dishoom scaled data operations without scaling its team

“We’re still a team of three, but we’re often doing far more than the equivalent of three full-time employees. That’s down to how we're able to leverage systems, data, and processes.”

Read the full story

Michael Howes, Head of Data & Insights at Dishoom

Inside VitaMoment’s Journey to KPI-Driven Growth and Data Ownership

“We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.”

Read the full story

How Danish Endurance boosted profitability by 77 % and transformed data management with Weld

“Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.”

Read the full story

Temur Makhsudov, Head of BI and Operations

How Female Invest centralized data management and saved resources with Weld

“Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.”

Read the full story

How Soundboks streamlined data integration with Weld, S3, and Databricks

“By integrating Weld, Amazon S3, and Databricks, Soundboks built a modern data pipeline that automates data ingestion, improves reporting, and provides up-to-date visibility into sales performance”

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How Roccamore unlocked better business insights with Weld

“We didn’t have a good data setup, so we lacked the business insights we needed. Weld has allowed us to set up a structured data infrastructure and access insights quickly.”

Read the full story