Local data refresh
connecting… Latest local database response · refreshes every 60 secondsRecorded run cadence
Lifecycle Stage Mix
Needs Attention
derived from telemetry · full ranking in the Attention Matrix tabModeled annual value by category
Largest modeled annual values
Largest modeled value gaps
Observed and projected revenue
Archived composite dashboardApr 13, 2026 at 2:32 PM ET
These index values and trend observations are the original static snapshot. They do not describe current markets or current fleet health.
Market and portfolio context
Intelligence and regulatory context
Recorded maturity levels
Archived opportunity pipeline
Original snapshot entries only. Availability, compensation and fit scores have not been refreshed.
| Role and organization | Fit score | Recorded estimate | Stage |
|---|
Recorded operational metrics compiled from
fleet.db agent_runs + domain tables. Shows real activity (runs logged, findings produced, integrations touched) rather than valuation estimates. Snapshot: --. Agents with no telemetry yet have not yet logged a run via the Step 6.5 data layer write — typically pre-AGENT.md scaffolds or agents that bypass the Bash sqlite3 pattern.
Total Runs Logged
--
Lifetime agent_runs in fleet.db
Findings Produced
--
Sum of severity-tagged findings
Logged source labels
--
Shortened log labels; aliases may refer to one service
Active in 30d
--
Agents with a run since --
Domain Records
--
Snapshots, edges, predictions, EDDs
Fleet History
--
fleet.db size on disk
Top 10 by recorded run count
Top 10 by Findings Produced
Top 10 by logged source labels
Data Layer Output by Domain Table
Click column headers to sort. 7d Cadence = runs logged per day over the last 7 days (oldest left, latest observation right; hover a bar for the date). 7d / Exp = those 7-day runs vs. the expectation parsed from the agent's schedule string — low values mean either a missed schedule or the agent isn't writing its Step 6.5 data-layer row (which is itself a useful signal). Source-health details are omitted from this public edition. Severity columns count findings tagged at that level. Self-rated quality uses legacy mixed scales; it is not a certified common 10-point score. Rows tagged (unregistered) have fleet.db runs but no entry in the agent registry.
| Agent | Category | Runs | 7d Cadence | 7d / Exp | Days Active | Findings | Crit | High | Med | Source labels | Avg Q | Last Run |
|---|
SaaS Replacement Total
--
Estimated replacement cost
Time Saved Total
--
Modeled hours at $75/hr
Observed revenue total
--
Recorded observations; projections separate
Maturity-Adjusted Total
--
Modeled estimate; not realized proceeds
Click column headers to sort. Current Value = (SaaS + Time + Revenue) x Maturity Multiplier. Max = full values at Production stage (1.2x).
| Agent | Category | SaaS Replace | Time Saved | Revenue | Raw Total | Maturity | Multi | Current $ | Production scenario | Confidence | Priority |
|---|
Fleet Maturity Distribution
Embryonic (0-2 wks): First runs, prompt tuning, data source validation
Infant (2-8 wks): Stable runs, basic quality, learning patterns
Adolescent (2-4 mo): Reliable output, good quality, state management working
Mature (4-8 mo): High quality, self-improving, strong recall. Stage advancement also requires the recorded reliability gate.
Production (8+ mo): Autonomous 24/7, revenue-capable, fully self-sustaining
Infant (2-8 wks): Stable runs, basic quality, learning patterns
Adolescent (2-4 mo): Reliable output, good quality, state management working
Mature (4-8 mo): High quality, self-improving, strong recall. Stage advancement also requires the recorded reliability gate.
Production (8+ mo): Autonomous 24/7, revenue-capable, fully self-sustaining
Analysis of agent overlap and recommended consolidations. Philosophy: don't remove agents — create aggregation layers above them where overlap exists. Keep specialized agents but reduce the number of independent dashboards to check.
Historical agent priorities are shown for the full included valuation inventory. Within each tier, open-item conviction is considered before absolute modeled value gap. Agents without an eligible open item remain visible.