Snapshot
Continue to About ↓- What it does
- Git-native analytics platform where a company's metric definitions, business rules, queries, notebooks and dashboards live as versioned files in a Git repository the customer owns (GitHub, Bitbucket, GitLab).
More detail
- Humans and AI agents access the same context layer via web app, Slack, MCP, CLI and API, and agent-proposed changes land as pull requests for human review.
- Queries the customer's existing data warehouse in place.
- Best for
- Data leads and analytics engineers who maintain a warehouse and dbt models and want one governed context layer for both humans and AI agents
More detail
- product teams needing white-label embedded analytics with row-level security and SSO.
- Pricing
- Free plan: $0/month (500 AI credits/month, unlimited users and connections, GitHub only).
More detail
- Core: $2,499/month or $25,000/year (10,000 AI credits, SSO, permissions, API, Slack delivery, Bitbucket/GitLab).
- Enterprise: custom pricing.
- Additional AI credits: $0.50/credit (Free), $0.25/credit (Core); one
- Main limitation
- Teams without Git/PR-based workflow practice
More detail
- buyers needing on-prem, GovCloud or single-tenant deployment without Enterprise plan
- budget-constrained heavy agent users sensitive to metered AI credit overages.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Git-native analytics platform where a company's metric definitions, business rules, queries, notebooks and dashboards live as versioned files in a Git repository the customer owns (GitHub, Bitbucket, GitLab).
- Humans and AI agents access the same context layer via web app, Slack, MCP, CLI and API, and agent-proposed changes land as pull requests for human review.
- Queries the customer's existing data warehouse in place.
What it helps with
- Metric drift across tools: different AI tools and people produce inconsistent numbers (e.g., multiple revenue figures) b
- Unreviewed AI agent changes to analytics assets: solved by pull-request-based review, CI flagging of renamed models, and
- Vendor lock-in and non-portable analytics: the customer's Git repo is the system of record and file access persists afte
- Duplicated metric definitions alongside dbt: Querio reads dbt semantic_manifest.json/MetricFlow metrics or writes Metric
- Fragmented self-serve access: teams answering data questions across Claude, ChatGPT, Slack and custom agents need one co
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Git-native context repository | Yes | Metric definitions, business rules, queries, notebooks and dashboards stored as files in customer-owned GitHub, Bitbucket or GitLab repos. |
| Human/agent change review via pull requests | Yes | Agent-proposed changes land as PRs and require human approval before going live. |
| In-place warehouse querying | Yes | Queries the customer's existing warehouse via a database user the customer creates and controls; data is not copied out for storage. |
| Warehouse integrations | Yes | Vendor lists Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, MotherDuck, MySQL, MariaDB and MSSQL. |
| dbt / MetricFlow interoperability | Yes | Reads dbt semantic_manifest.json/MetricFlow metrics or writes MetricFlow-format files when no dbt is present. |
| AI agent access via MCP, CLI, API and Slack | Yes | MCP HTTP endpoint at app.querio.ai/mcp; Slack agent, CLI and REST API; IDE clients named include Claude, Claude Code, ChatGPT and Cursor. |
| SQL and Python notebooks | Yes | Notebooks for AI-assisted and hands-on analysis. |
| Dashboards and scheduled automations | Yes | Automations limited to 2 with email delivery on Free; unlimited with email and Slack delivery on Core and Enterprise. |
| Embedded / white-label analytics | Limited | Add-on available on every plan, starting at $1,500/month with 7,500 AI credits; iFrame embedding, white label, row-level security. |
| Row-level security and role-based access | Limited | Listed in embedded analytics and governance descriptions; group and datasource permissions are Core-and-above features. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
—of 100
ChatGPT—/100
Claude—/100
This profile has not completed a Bot Score assessment yet.
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- querio.ai
Technical profile details
Record ID
5dce2456-8255-4fd1-ba82-cdbcc9462882Canonical URLhttps://profiles.scribble.network/listing/querio-5dce2456