Running Sentralis as a service, Analytics and Reporting Tools

Sentralis Agency Implementation, Crypto Risk Advisory at Scale

Learn to deliver crypto portfolio risk analysis as a retainer service by mastering Sentralis' nine scenario engines, workbench modules, and API integrations. This course shows agencies how to embed stress-testing, counterparty decomposition, and automated alerts into client advisory workflows, turning complex risk investigations into repeatable, billable engagements.

Open the decision record for Sentralis

What does running Sentralis for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Vendor plan cost is tier-dependent, the published pricing_tiers data in this blueprint is the only cost basis available; no specific dollar amount is stated in the Level 1 data, so confirm the current entry-tier price directly with Sentralis before committing.
Time to first value
hours (published time_to_value)
Payback
Not modeled, client price, labor cost, usage volume, overhead, and expected client count are not supplied
Guided implementation
8 hours

Is Sentralis worth running as a client service?

The evidence supports a viable managed analytics service: Sentralis gives agencies programmatic crypto risk engines over REST and MCP, scheduled alerts, and recurring reports with low evaluation cost because the free tier runs all nine engines. What remains unknown is what you can charge: no client-price, labor, or usage data is published, so ROI cannot be modeled from this dataset alone.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • Sentralis account with read-only API keys for one or more of Binance, Kraken, Coinbase, Bybit, or Gate.io
  • REST API or MCP client (e.g. Claude) for programmatic access to the eight risk engines
  • OpenAPI 3.1 contract and hosted quick-start walkthrough for integration setup
  • Manual-entry capability for hypothetical portfolios so evaluation can run without exchange connections
  • Scheduled report delivery destination for PDF/JSON exports and threshold alert emails

People and inputs

  • Time to complete medium-complexity onboarding: connect sources, run scenario engines, and configure the Risk Workbench
  • Nine scenario-engine definitions understood (Monte Carlo, historical replay, liquidity, factor, macro, counterparty)
  • Portfolio Teardown, Event Decomposition, and Pre-Mortem investigation templates adopted from the Risk Workbench
  • Alert-threshold schema defined per client (VaR ceilings, drawdown limits, concentration thresholds)

Included with the course

7 working documents for delivering this service.

  • Crypto Risk Retainer Service Pricing Worksheetworksheet
  • Portfolio Teardown Investigation SOPsop
  • Sentralis API Integration Checklistchecklist
  • Monthly Risk Report Template (PDF + JSON)template
  • Client Onboarding Guide for Exchange Connectionsguide
  • Scenario Engine Selection Matrixworksheet
  • Alert Threshold Configuration Playbooksop

Listed by name. These documents are not yet published as individual downloads.