Sentralis
Sentralis is a non-custodial, read-only portfolio analytics platform for crypto holdings. It ingests positions from Binance, Kraken, Coinbase, Bybit, Gate.io, and manual entries, then runs nine scenario engines (Monte Carlo, historical replay, liquidity, macro sensitivity, correlation regime, counterparty analysis, and others) to generate risk metrics, stress-test results, and AI-assisted commentary. The platform includes six workbench modules for durable investigations: Portfolio Teardown, Event Decomposition, Time Machine, Delta Autopsy, Marginal Risk, and Pre-Mortem. All engines and metrics are exposed via REST API and MCP endpoints, allowing agencies to embed risk analysis into custom dashboards or advisory workflows without rebuilding the underlying math.
Sentralis is a non-custodial, priced at $20.83/month on the Pro (Annual) plan, integrating with Binance, Kraken, Coinbase, and Bybit. InnovaAI scores it 4.8/10 for agency adoption, best for Account Executive, Strategist, and Operations Manager roles handling 5+ client meetings per week.
Agency Audit
Sentralis is a non-custodial portfolio analytics platform that turns crypto holdings from wallets, exchanges, and manual entries into risk metrics, scenario simulations, and AI-assisted reports. For agencies serving crypto-holding clients or offering wealth-management advisory, it provides a professional analytics layer that Account Executives and Strategists can use to deepen client conversations around portfolio stress-testing, counterparty exposure, and allocation decisions. The platform exposes nine scenario engines (Monte Carlo, historical replay, liquidity, macro sensitivity, correlation regime) plus six workbench modules via a read-only interface, eliminating the need to build or license these analyses separately.
3recommended
60/mo
$4,479/mo
Moderate
Illustrative scenario. Not a guarantee. Net capacity is the value of reclaimed time at $75/hr, less the lowest verified paid base plan (flat plan cost is shared). Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Account Executive handling client portfolio stress testing
- Strategist handling counterparty exposure decomposition
- Operations Manager handling portfolio risk monitoring and alerts
- Your agency does not serve crypto-holding clients or does not advise on digital-asset allocation; Sentralis has no application outside that domain.
- Your team operates in a regulatory environment where client portfolio data cannot be imported into a third-party SaaS platform, even in read-only mode; Sentralis requires API or manual entry of holdings.
- Your clients expect real-time portfolio rebalancing or execution capabilities; Sentralis is read-only and does not support trading or custody workflows.
Internal Adoption Path
$20.83/mo
$20.83/mo flat plan
60 hr/mo
3 seats × 20 hr each
$4,500/mo
modeled at $75/hr labor rate
$4,479/mo
value − subscription cost
In this model, 3 seats reclaim 60 hours of team time each month. Valued at $75/hr that is $4,500/mo, and after the $20.83/mo subscription it leaves $4,479/mo of capacity for billable client work.
Illustrative scenario. Not a guarantee. Uses the lowest verified paid base plan. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of Sentralis
Nine scenario engines
Monte Carlo, historical replay, liquidity, macro sensitivity, correlation regime, and counterparty analysis scenarios run on client portfolios without manual setup. Account Executives use these to answer stress-test questions in real time during client calls, replacing hours of spreadsheet modeling.
Portfolio Teardown and Event Decomposition workbench
Durable investigation modules that break down portfolio behavior by asset, exchange, chain, and strategy. Strategists use these to isolate concentration risk and counterparty exposure across venues, compressing multi-day analysis into a single session.
Scheduled alerts and reports
Alerts fire on VaR, drawdown, or concentration thresholds; reports generate on daily to monthly cadence in PDF or JSON. Operations teams use these to monitor client portfolios passively and flag risk escalations without manual daily review.
AI-assisted portfolio commentary
Claude-powered report generation that explains portfolio behavior, scenario results, and risk decomposition in natural language. Strategists use this to draft client-facing commentary and reduce the manual writing burden by 40-60% per report.
REST API and MCP endpoints
Expose all nine scenario engines and risk metrics programmatically for integration into custom dashboards or advisory workflows. Technical Operations or Founder-led teams use this to embed Sentralis' risk engines into proprietary client platforms without rebuilding the math.
Non-custodial, read-only imports
Connect to Binance, Kraken, Coinbase, Bybit, and Gate.io via API, or manually enter holdings; Sentralis never requests private keys or signing capability. Compliance and Operations teams use this to satisfy client data-security requirements while enabling full portfolio analysis.
What Makes Sentralis Different
Unique advantages vs similar tools in this niche
Forward-looking scenario engines rather than balance aggregation
vs Portfolio trackers and aggregators that only show consolidated balancesSentralis turns holdings into risk metrics, scenario results, liquidity views, and allocation comparisons that a tracker does not show.
Eight risk engines callable over REST and MCP
vs Closed analytics dashboards with no programmatic accessThe API exposes eight risk engines over plain HTTP with an OpenAPI 3.1 contract, and MCP connects Claude directly to run analyses.
Non-custodial, read-only safety model
vs Platforms that require signing or custody accessSentralis never holds assets, never asks for private keys, and never signs transactions or places orders.
Value Equation
Outcome-likelihood-time-effort assessment for Sentralis
Limited agency channel
Sentralis scored below the agency-resellability threshold (agency_fit_score < 50). The Value Equation projects agency-side outcomes, which don't apply to tools without a clear resell pathway.
Contact SentralisPricing
Sentralis platform cost to your agency
Starts at $20.83/mo (Pro (Annual)), scales to $49 one-time (Premium)
Free
- All nine scenario engines, including Monte Carlo, Correlation Regime and Macro Sensitivity
- 2 real portfolios (10 holdings each) + 2 hypothetical (5 positions each)
- Portfolio Teardown and Event Decomposition workbench modules
- 150 AI credits per month
Pro
- 5 real portfolios (15 holdings each) + 5 hypothetical (20 positions each)
- All six workbench modules: adds Time Machine, Delta Autopsy, Marginal Risk, Pre-Mortem
- Alerts evaluated every 2 days, 10 alerts and 5 scheduled reports
- 2,000 AI credits per month
Pro (Annual)
- 5 real portfolios (15 holdings each) + 5 hypothetical (20 positions each)
- All six workbench modules: adds Time Machine, Delta Autopsy, Marginal Risk, Pre-Mortem
- Alerts evaluated every 2 days, 10 alerts and 5 scheduled reports
- 2,000 AI credits per month
Premium
- Unlimited portfolios and holdings
- Daily alerts (20) and daily scheduled reports (10)
- All six workbench modules
- 10,000 AI credits per month
Premium (Annual)
- Unlimited portfolios and holdings
- Daily alerts (20) and daily scheduled reports (10)
- All six workbench modules
- 10,000 AI credits per month
Add-ons
Optional extras priced on top of any main plan
No verified white-label program for Sentralis: client-facing delivery runs under the platform's native branding.
Market Intelligence
Offer + scale economics for Sentralis
Limited agency channel
Sentralis scored below the agency-resellability threshold (agency_fit_score < 50). It's a useful tool but not designed for white-labeled or retainer-based reselling, so we don't publish productized offer economics for it.
Contact SentralisInvestment Decision Framework
Strategic vetting analysis for Sentralis
Situational Fit
Fit depends on your client mix
Buy If
4Your Account Executives spend 3+ hours per week manually building portfolio stress-test scenarios or risk summaries for crypto-holding clients, and Sentralis' nine pre-built scenario engines would replace that work.
Your Strategists need to decompose counterparty exposure and concentration across exchanges and chains for client advisory, and Sentralis' Event Decomposition and counterparty workbench modules compress that investigation from days to hours.
Your team manages multiple client portfolios and currently relies on spreadsheets or external tools to track VaR, drawdown, or concentration thresholds; Sentralis' scheduled alerts and daily reports would consolidate that monitoring into a single interface.
Your Founder or Operations lead wants to offer data-driven portfolio commentary to clients without hiring a dedicated crypto analyst; Sentralis' AI-assisted report generation (with 150 to 10,000 monthly credits depending on plan) reduces the manual writing burden.
Skip If
4Your agency does not serve crypto-holding clients or does not advise on digital-asset allocation; Sentralis has no application outside that domain.
Your team operates in a regulatory environment where client portfolio data cannot be imported into a third-party SaaS platform, even in read-only mode; Sentralis requires API or manual entry of holdings.
Your clients expect real-time portfolio rebalancing or execution capabilities; Sentralis is read-only and does not support trading or custody workflows.
Your team lacks familiarity with crypto risk metrics (VaR, Monte Carlo, correlation regime, liquidity scenarios) and cannot interpret Sentralis' outputs without significant training overhead.
Bottom Line
Sentralis is a non-custodial portfolio analytics platform that turns crypto holdings from wallets, exchanges, and manual entries into risk metrics, scenario simulations, and AI-assisted reports. For agencies serving crypto-holding clients or offering wealth-management advisory, it provides a professional analytics layer that Account Executives and Strategists can use to deepen client conversations around portfolio stress-testing, counterparty exposure, and allocation decisions. The platform exposes nine scenario engines (Monte Carlo, historical replay, liquidity, macro sensitivity, correlation regime) plus six workbench modules via a read-only interface, eliminating the need to build or license these analyses separately.
Reality Check
Sentralis is purpose-built for crypto portfolio analysis and offers no value to agencies that do not serve crypto-holding clients or advise on digital-asset allocation. Adoption requires team familiarity with crypto risk terminology and scenario interpretation; the tool does not simplify analysis for non-technical stakeholders.
Moderate effort: standard configuration with some customization needed
Academy for Sentralis
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
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 courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Reconciliation Debt ThresholdConcept
Reconciliation debt is the accumulated gap between what a dashboard shows and what the client's own systems say is true. Every source you connect without a defined owner, refresh cadence, and tie-out rule adds a small liability that compounds quietly until a client spots a number that contradicts their bank statement or CRM. Agencies feel this as rework: the analyst who spends Friday morning rebuilding a report by hand because two ad platforms disagree on conversions. The threshold matters because credibility, not coverage, is what renews a retainer. A dashboard with 12 reconciled sources outperforms one with 40 loose ones. The discipline is to benchmark your existing reporting process before adoption, then cap source count until each new connection has a named reconciliation rule. Attribution gaps make this worse: when AI visibility scores and platform conversions tell different stories, the agency owns the fallout unless the report states its methodology.
- Dashboard Access vs Analysis CapacityConcept
The framework separates two things agencies routinely conflate: giving clients a login to a dashboard, and converting the hours saved by automated collection into actual analysis. The category description is explicit that recovered capacity should fund proactive recommendations, not be sold as the offer itself. Agencies that treat dashboard access as the deliverable end up with the same margin profile as before adoption, just with a nicer interface. The test is whether the reporting process was benchmarked before adoption, so the saved hours are visible and can be redirected. For example, a 12-client retainer book where each account previously consumed 6 hours of manual collection per month frees roughly 72 hours monthly; if those hours go into channel reviews and next-quarter recommendations rather than additional dashboard configuration, the tool pays for itself twice. If they vanish into admin, the subscription is a cost with no strategic return.
- Reconciliation Before AutomationConcept
Reconciliation Before Automation is a framework for agencies evaluating analytics and reporting platforms. It posits that the primary value of these tools is not dashboard aesthetics or automation speed, but the accuracy of the underlying data reconciliation. Agencies often adopt platforms to save time, yet if the platform's source coverage or data freshness produces numbers that don't match the client's internal records, the time saved is negated by credibility damage. For example, a client running display ads may see platform-reported ROAS that conflicts with backend order data, as noted in recent research. Agencies should benchmark their current reporting process, identify reconciliation gaps, and only then select a platform that demonstrably closes those gaps. The framework emphasizes that recovered capacity should be invested in analysis and proactive recommendations, not just faster report generation.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Analytics & Reporting Rule: Reconcile Before You ReportEvaluation Rule
Benchmark your current reporting process and reconcile platform data against backend records before adopting any analytics tool.
- When Attribution Numbers Fail Finance, Audit Before Automating ReportsEvaluation Rule
Audit your attribution and data reconciliation process before you invest in any new dashboard or reporting platform.
- The Dashboard-as-Deliverable Trap: Why Analytics Reporting Stalls Agency ValueFailure Pattern
- The Attribution Confidence Gap: When Client Reports Cite Numbers Finance Won't AcceptFailure Pattern
8 modules selected for Sentralis
Frequently Asked Questions
Answers about pricing, setup, implementation
Sentralis turns crypto holdings from wallets, exchanges, and manual entries into risk metrics, scenario results, and AI-assisted reports. It runs nine scenario engines (Monte Carlo, historical replay, liquidity, macro sensitivity, correlation regime, counterparty analysis, and others) on client portfolios without requiring custody or signing access. The platform also exposes these engines over REST API and MCP endpoints so agencies can embed risk analysis into custom workflows or dashboards.
Pro plan is $29 USD per month and includes 5 real portfolios (15 holdings each), 5 hypothetical portfolios (20 positions each), all six workbench modules, 2,000 AI credits per month, and REST API and MCP access (25 MCP analyses per day). Premium plan is $49 USD per month and includes unlimited portfolios and holdings, daily alerts (20) and scheduled reports (10), all six workbench modules, 10,000 AI credits per month, and REST API and MCP access (100 MCP analyses per day). A free tier is available with 2 real portfolios (10 holdings each), 2 hypothetical portfolios (5 positions each), all nine scenario engines, 150 AI credits per month, and weekly alerts and scheduled reports.
Account Executives use Sentralis to run real-time portfolio stress tests and scenario analysis during client calls, replacing manual spreadsheet modeling. Strategists use the workbench modules (Portfolio Teardown, Event Decomposition, Pre-Mortem) to decompose counterparty exposure and concentration risk, compressing multi-day investigations into single sessions. Operations teams use scheduled alerts and reports to monitor client portfolios passively and flag risk escalations. Founders or advisory leads use AI-assisted report generation to draft client-facing commentary without hiring dedicated crypto analysts.
For an Account Executive running 3+ client portfolio stress tests per week, Sentralis saves 2-4 hours per week by eliminating manual scenario modeling and spreadsheet building. For a Strategist decomposing counterparty exposure or concentration risk across multiple client portfolios, the workbench modules save 4-6 hours per week compared to manual analysis. For Operations teams monitoring alerts and reports, passive monitoring saves 1-2 hours per week versus daily manual portfolio review. Aggregate savings per seat range from 3-8 hours per week depending on role and portfolio volume.
Sentralis connects to Binance, Kraken, Coinbase, Bybit, and Gate.io via read-only API import. It also accepts manual portfolio entries for holdings not on these exchanges or stored in self-custody wallets. All imports are non-custodial; Sentralis never requests private keys or signing capability.
Yes. Sentralis exposes all nine scenario engines and risk metrics over REST API and MCP endpoints. The Pro plan includes 25 MCP analyses per day; the Premium plan includes 100 per day. Agencies can embed these endpoints into custom dashboards, advisory platforms, or reporting workflows without rebuilding the underlying risk math.
Sentralis is read-only and non-custodial; it does not hold client assets or private keys. Upon cancellation, your team loses access to the platform and its analysis outputs, but client holdings remain in their original wallets and exchanges. You can export portfolio data and reports before cancellation if needed.
Initial setup takes 30-60 minutes per team member: connecting exchange APIs or manually entering holdings, and running one scenario to familiarize with the interface. Full productivity (using all workbench modules and interpreting scenario results) typically takes 1-2 weeks of hands-on use. Teams already familiar with crypto risk terminology (VaR, Monte Carlo, correlation regime) onboard faster.