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Transformation

Clean SQL. Proper Tests. Ready to Merge.

From raw logic to pull request in minutes.
Myriade handles joins, test coverage, and documentation, so you can focus on architecture, not YAML.

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Writes Code Like Your Best Engineer

No hallucinations. Just clean, style-compliant SQL.

Handles Complex Logic

From simple aggregates to complex Window Functions (PARTITION BY) and incremental logic configuration.

Matches Your Linter Rules

Whether it's casing, naming, or layout preferences, the agent follows your team's style.

dbt-Native Output

Every model includes the matching .yml file with tests and field-level descriptions.

customer_revenue_trends.sql
customer_revenue_trends.yml
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WITH monthly_revenue AS ( SELECT customer_id, DATE_TRUNC('month', order_date) AS order_month, SUM(gross_revenue) AS monthly_spend FROM {{ ref('stg_orders') }} WHERE status = 'completed' GROUP BY 1, 2 ) SELECT customer_id, order_month, monthly_spend, -- Running total window function SUM(monthly_spend) OVER ( PARTITION BY customer_id ORDER BY order_month ) AS lifetime_spend FROM monthly_revenue
Ln 20, Col 1
Linting Passed (sqlfluff)
Style: dbt Labs Standard

PR #247: Add customer_ltv model

myriade-bot opened 2 minutes ago

Open
+142 lines-12 lines
models/marts/customer_ltv.sql
12-   order_total AS lifetime_value
12+   SUM(order_total) AS lifetime_value,
13+   COUNT(*) AS order_count,
14+   MIN(order_date) AS first_order

From Prompt to Pull Request, In Minutes

Stop context switching between your IDE, your ticketing system, and your catalog.

Direct Git Integration

The agent pushes its work directly to your repository as a new branch and opens a Pull Request.

Diff Review

Edit the SQL, accept changes, and merge when ready.

Docs in Sync

Since documentation is written as code, your dbt docs are always current.

Stops Bad Data Before It Builds

Understands lineage, dependencies, and risk.

Upstream Safety Checks

If a source table has failing quality checks, the agent warns you before building on it.

Smart ref() Logic

References the correct tables automatically to preserve your DAG integrity.

Built for Real DAGs

This isn't isolated model generation - it fits into your warehouse-wide logic.

dbt build --select +fct_revenue
Build Interrupted
Running with dbt=1.7.0
stg_customers2.1s
stg_payments1.8s
stg_orders3 tests failed3.2s
fct_revenueblocked by upstream
Myriade
Myriade Agent: Downstream build paused to prevent data quality issues from propagating.

Turn Ad-Hoc Insights Into Permanent Assets

A self-improving data lifecycle that builds on itself.

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Churn increased 12% this quarter.
OPEN PR
churn_analysis.sql
+142-0

From question to production-ready dbt model

Leverage Robust Models

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Architecture Self Heals

schema-sync
> Running Schema Check...
> ⚠️ Drift Detected: new column 'user_tier'
> Auto-patching schema.yml...
> ✔ Commit pushed.

Self-healing schema management

Security & Compliance

Built for security-conscious data teams

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Read-only access only

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In your infrastructure

Zero Retention

No data stored

Zero Training

Your data stays yours

Ship Faster. Break Nothing.

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