The open standard for SaaS intelligence
Definitions, formulas, relationships and a digital twin your agents can actually trust
- metrics
- 300
- departments
- 13
- core
- 60
- relationships
- 164
One standard, three jobs
Wire your warehouse to a metric model your agents can trust
"mrr": "fact_subscription.mrr"
"customer_id": "dim_customer.id"
"invoice": "fact_invoice.total"
Standardize every metric definition across the company
Run your business on a graph your agents can navigate
Every metric, every connection
A graph the standard defines and your agents can traverse.
- Metrics
- 60
- Entities
- 15
- Concepts
- 7
- Relationships
- 164
Move a lever, watch it ripple
The TWIN World Modifier propagates a single decision across every observed metric in real time. See how it works
Try the World Modifier- NRR
- 108%
- 112% +4pp
- ARR
- $12.0M
- $12.5M +$0.5M
- Rule of 40
- 38%
- 42% +4pp
- LTV:CAC
- 3.2×
- 3.6× +0.4×
Illustrative. Propagation is simplified for demonstration, not financial planning.
Wire your warehouse to the standard
Map your warehouse columns to the GASP ontology. Validate coverage. Generate parameterized SQL.
- fact_subscription
- dim_customer
- fact_invoice
- dim_account
- …
Snowflake, BigQuery, Redshift. Names are yours.
{
"mrr": "fact_subscription.mrr",
"customer_id": "dim_customer.id",
"invoice": "fact_invoice.total",
"churn_date": "dim_account.churned_at"
} 194 fields. Validated against the schema.
- Metrics
- 60
- Entities
- 15
- Concepts
- 7
- Source categories
- 22
- Query templates
- 73
Canonical. Versioned. Platform-agnostic.
One MCP, every metric, zero hallucination
Install in one line. Your AI agents read every metric definition, formula and relationship from the canonical standard instead of guessing.
npx -y gasp-standard-mcp Every dashboard, one set of definitions
Drawn from the canonical standard, end to end. No more "which NRR are we talking about?" between sales, finance and the board.
Could your numbers survive a board question?
Nine questions. Five minutes. A diagnostic of where your metric definitions diverge from the standard.
Govern the agents
GASP says what metrics exist. AICF says who can read them and how they're controlled. 168 canonical controls across 8 frameworks, including SOC 2, NIST AI RMF, EU AI Act and ISO 42001.
- Canonical controls
- 168
- Source frameworks
- 8
- AI-specific controls
- 35
- Framework mappings
- 807