Scoop Analytics
Scoop is an AI performance management agent for multi location businesses: it screens every location each cycle over existing BI, warehouse, POS and labor data, investigates what it flags, and briefs each manager with action plans drawn from the company's own operating playbook.
Scoop, from the founder of Birst, now sells AI performance management for distributed businesses such as retailers, restaurant groups, hospitality operators, franchisors and private equity rollups. It layers over the existing stack, including Power BI, Tableau, Looker, Snowflake, BigQuery, Redshift and POS and labor systems, with read only access.
Each cycle it scans every location against benchmarks, history and peers, runs root cause investigations on what it flags, and turns findings into corrective action plans through the customer's codified operating playbook, a set of versioned rules the team extends in plain English. Every manager gets a tailored briefing, managers accept, defer or reject each recommendation with a reason, and Scoop tracks the outcomes and feeds them back into the playbook. The knowledge layer and action history are exportable.
Scoop states SOC 2 Type II certification, isolates each engagement, never writes to customer systems and offers private cloud deployment, and customers can bring their own model provider credits. Pricing is per location, billed annually, from a pilot of up to ten locations.
Vendor details
Canonical URL
https://scoopanalytics.com
Category
Data analyst agent
Company status
independent
Use cases & customers
Integrations
Read only over BI tools (Power BI, Tableau, Looker and 100+ more), warehouses (Snowflake, BigQuery, Redshift), POS and labor management systems.
In practice
A franchise operations leader lets Scoop screen every location each week, and each franchisee receives a briefing on what slipped, why, and the corrective action the company playbook calls for.
A regional manager rejects a recommended staffing change with a reason, and Scoop records the decision and the outcome so the playbook can be adjusted.
A private equity operating team connects its portfolio's POS and labor data, and Scoop flags the underperforming locations across brands in one cycle.
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Partial |
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Connections reach existing BI tools (Power BI, Tableau, Looker and 100+ more), warehouses (Snowflake, BigQuery, Redshift), POS and labor systems, with Scoop layered over them. Its security page states it never writes to customer systems, so the connections are read access. Sourcescoopanalytics.com/securityread 2026-09-28 |
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| Workflow Orchestration | Full |
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Each cycle Scoop scans every location, investigates flagged anomalies with dozens of investigations per location, and turns findings into action plans through the customer's codified operating playbook. The playbook's versioned rules are written by the customer in plain English and set how findings map to actions. Sourcescoopanalytics.com/product/how-it-worksread 2026-09-28 |
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| Knowledge Grounding & RAG | Full |
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Investigations and action plans draw on the customer's codified operating playbook and a knowledge layer of versioned, auditable rules that users extend by describing new scenarios in plain English, exportable by the customer. How rules are retrieved at scale is not detailed. Sourcescoopanalytics.com/product/how-it-worksread 2026-09-28 |
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| Human Oversight & Guardrails | Partial |
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Scoop recommends and managers decide. Each corrective action is accepted, deferred or rejected with an explanation, and the agent has read only access and never writes to customer systems. Decisions stay with people, but no approval step gates an agent action. Sourcescoopanalytics.com/product/how-it-worksread 2026-09-28 |
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| Security, Identity & Governance | Partial |
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SOC 2 Type II certification (achieved in 2025), encrypted credentials, isolated environments per engagement and regular penetration testing are all stated. No SSO, roles or permissions for the customer's users are documented. Sourcescoopanalytics.com/securityread 2026-09-28 |
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| Observability & Auditability | Partial |
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Playbook rules are versioned and auditable, and the action history of each recommendation and its outcome is kept and exportable. No view of the queries or steps behind each investigation, audit log of agent runs or trace export is documented. Sourcescoopanalytics.comread 2026-09-28 |
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| Memory & State Persistence | Partial |
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Scoop keeps an action history of which recommendations managers accepted, deferred or rejected and the outcomes that followed, and feeds it back into later cycles, exportable by the customer. No memory layer with a stated scope, lifetime or deletion path is described. Sourcescoopanalytics.com/product/how-it-worksread 2026-09-28 |
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| Deployment & Data Residency | Full |
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Private cloud deployment is offered so data never leaves the customer's governance boundary, and the Enterprise tier usually comes with custom deployment. The private cloud option is named without further detail. Sourcescoopanalytics.comread 2026-09-28 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Solution pages for retail, food and beverage, hospitality, franchise businesses and private equity rollups describe domain focus, and the customer's own playbook drives the action plans. No packaged playbooks, templates or agents are listed. Sourcescoopanalytics.comread 2026-09-28 |
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| Triggers & Channel Coverage | Full |
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Scoop screens every location every cycle against benchmarks and history, investigates what it flags and sends each manager a tailored briefing, so work starts on the cycle rather than on a request. Sourcescoopanalytics.com/product/how-it-worksread 2026-09-28 |
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| Model Flexibility & Routing | Partial |
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Customers can bring their own provider credits ('Your model contracts. Bring your own provider credits. Routing stays current as the model market moves.'), and AI inference is billed separately, but no provider or model is named, and the routing is Scoop's rather than a model the customer selects. Sourcescoopanalytics.comread 2026-09-28 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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Calling Scoop programmatically is not documented: no API, SDK or MCP server is published. Data and history are exportable, which is not a programmatic interface. Sourcescoopanalytics.com/product/how-it-worksread 2026-09-28 |
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| Testing, Debugging & Optimization | Full |
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A closed loop records whether managers acted on each recommendation and the performance that followed, and feeds those outcomes back into the playbook. That is an optimization loop on the agent's recommendations after deployment. Sourcescoopanalytics.com/product/how-it-worksread 2026-09-28 |
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| Browser & Computer Use | Not documented |
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Data comes in from BI tools, warehouses and operational systems through connections. No browser, desktop or computer control is described. Sourcescoopanalytics.comread 2026-09-28 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
$125 per location per month billed annually (Pilot, up to 10 locations)
per location per month, billed annually; AI inference billed separately
What is public
Per location rates for three volume tiers and how AI inference is billed; Enterprise is by contact.
Variable cost rationale
Cost scales with the number of locations, and AI inference is billed on top at usage.
Overage / add-ons
AI inference billed separately, typically under 15 percent of total invoicing
Sales call required
Yes, required for paid access
Free / trial
Not published
Lowest paid plan
Pilot ($125 per location per month, up to 10 locations)
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Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded