Source
Self-service analysis & shared metrics — found from sitemap — Databox
Checked for Databox on 1 Nov 2026
- Page
- https://databox.com/semantic-layer-for-ai
- Checked
- 1 Nov 2026, 09:33 UTC
- How we may use it
- Public page, crawling permitted
Technical details
- type
- page
- http status
- 200
- content hash
- sha256:6bf7dde8bd13e73bcb4916717abbb0843cd7914dc2b6898a2c0a1f65c87ee9ea
- permission
- robots_ok
- screenshot
- Screenshot on file (internal exhibit, not published)
Cited by
Facts read from this source
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Databox mcp Report an error
“Databox MCP turns your governed metric definitions, entities, and trust signals into a standard interface any AI agent can read. Claude, ChatGPT, or one your team builds — they all reason from the same context your dashboards do.”
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Semantic layer governance signals Report an error
“A governed semantic layer carries signals beyond the definition itself:”
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Predefined metrics sources Report an error
“For platforms a vendor knows intimately — Stripe, Shopify, HubSpot, the major ad platforms — the metric definitions can ship with the integration.”
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Automatic semantic population Report an error
“They’re populating most of the layer automatically and reviewing the parts that need human judgment.”
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Access rules on behalf Report an error
“Access rules keep sensitive numbers — payroll, customer-level revenue — restricted to people cleared to see them, and apply the same restriction to agents acting on a user’s behalf.”
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Mcp standard Report an error
“through standards like the Model Context Protocol (MCP), or through APIs, or through a CLI — is infrastructure”
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Integration context inference Report an error
“an AI agent can infer meaning from the context already present: column names, sample values, existing queries, dashboards built on top of the column, how it’s used in goals.”
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SOC 2 Report an error
“SOC 2 CERTIFIED”
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Company Report an error
“© 2026 Databox, Inc. Boston, MA, USA”
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Customer count claim Report an error
“TRUSTED BY 20,000+ BUSINESSES”
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Surface Report an error
“The same metric definition should power a Monday-morning dashboard, a scheduled board report, a natural-language question asked in chat, an API call from an external app, and a query an autonomous agent writes on its own.”
Scores citing this record
- The Data Analyst Self-service analysis & shared metrics
- The Data Analyst Access control, administration & portability
- The Finance Controller Self-service analysis & shared metrics
- The Finance Controller Access control, administration & portability
- The IT Administrator Self-service analysis & shared metrics
- The IT Administrator Access control, administration & portability
- The Managing Director Self-service analysis & shared metrics
- The SaaS Product Lead Self-service analysis & shared metrics
- The SaaS Product Lead Access control, administration & portability
- The Skeptic Self-service analysis & shared metrics