DAGR focuses on
- Public-source mission questions
- Capability-scoped tools
- Evidence assembly and challenge
- Contradictions and limitations
- Human-reviewed outputs
- Delivery into existing workflows
Governed public-source evidence for mission teams
DAGR AUTOSINT organizes bounded evidence work around a scoped mission question and a human release requirement.
Roles, authority, tools, and integration boundaries are explicit by design.
A focused evidence layer-
not an enterprise operating system
Existing enterprise platforms remain responsible for
- Enterprise systems of record
- Organization-wide data integration
- Enterprise ontology and application layers
- Operational actions and automation
- Internal enterprise workflows
DAGR is designed to complement enterprise data platforms, data lakes, and mission systems-not replace them.
Is DAGR an enterprise data platform?
No. DAGR is a focused public-source evidence layer. It scopes a mission question, uses bounded agents and governed MCP access to assemble and challenge evidence, and produces a human-reviewed output for the systems teams already use.
From observation to
human-reviewed briefing
Each step carries its sources, context, confidence, and limitations forward.
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Observe
Rights-approved public sources are collected through registered, approved surfaces with full provenance.
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Detect change
New observations are compared against versioned baselines so change, not volume, drives attention.
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Correlate evidence
Related observations are linked across sources and time, with same-origin records never counted as independent corroboration.
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Develop an assessment
Evidence, contradictions, gaps, and confidence are assembled into a reviewable assessment - abstention is a valid outcome.
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Define watch conditions
Conditions worth monitoring are made explicit so follow-up is deliberate instead of reactive.
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Human review
Machine outputs remain drafts until the configured review requirement is satisfied.
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Brief or integrate
Reviewed outputs are delivered as briefs or through approved downstream workflows.
Manager-controlled agents.
One governed evidence chain.
A deterministic run manager coordinates bounded Evidence Analyst and Evidence Verifier roles. Agents do not communicate peer to peer, and their outputs remain subject to policy checks and human release.
Deterministic Run Manager
Scopes each run, applies policy and budget boundaries, and routes all work without free peer-to-peer agent communication.
Evidence Analyst
Queries approved evidence sources and assembles support, contradiction, confidence, gaps, and limitations.
Evidence Verifier
Independently challenges citations, corroboration, contradictions, and unsupported conclusions before release review.
Policy & Approval Gate
Enforces default-deny capabilities and binds sensitive calls to exact, time-limited approval receipts.
Human Release Gate
Keeps machine output in draft state until the required person reviews the evidence and authorizes release.
Machine outputs remain drafts until required human review is satisfied. DAGR AUTOSINT is human-reviewed decision support, not an autonomous decision authority.
Explicit authority.
Fail-closed execution.
Identity & delegation
Each controlled run binds the principal, agent and version, on-behalf-of context, delegation chain, data domain, allowed capabilities, tool allowlist, budgets, expiry, and trace identity. Unlisted authority is denied by default.
Default-deny tool boundary
Agents reach accepted published data through one governed MCP interface with domain, rights, publication, row, byte, and timeout controls. Tool capabilities are explicitly allowlisted, and provider credentials are not forwarded.
Receipt-bound approvals
Sensitive calls require a time-bounded approval receipt tied to the exact tool and argument digest, approver, scope, expiry, and nonce. Broader, expired, revoked, or replayed calls are rejected.
Metadata-only traces
Metadata-only traces record run identity, routing, model and tool calls, handoffs, approvals, checkpoints, verifier results, abstention, failures, and terminal outcomes. Prompt and tool content capture is off by default.
Bounded checkpoint & resume
Append-only checkpoints pin run identity, baselines, agent and tool versions, evidence state, budget state, next step, and hash lineage. Resume revalidates those bindings and refuses tampered or expired state.
Security evaluation
The controlled POC includes a bounded agentic threat model and a deterministic evaluation suite covering prompt injection, malicious tools and handoffs, privilege escalation, replay, exfiltration, budget overrun, citation mismatch, verifier bypass, and checkpoint tampering.
One controlled interface.
Explicit tool boundaries.
Agents reach accepted published data through one governed MCP interface with domain, rights, publication, row, byte, and timeout controls. Tool capabilities are explicitly allowlisted, and provider credentials are not forwarded.
The accepted scope is an isolated, governed proof of concept. Production deployment, unrestricted write-capable tools, peer-to-peer A2A handoffs, and autonomous operational action are outside the current scope.
One system,
five core capabilities
Each capability carries sources, context, confidence, and limitations from collection through briefing.
Monitor & Observe
Rights-approved observations, source activity, and tracked conditions across registered collection surfaces.
Detect & Correlate
Changes, anomalies, related observations, and supporting evidence linked across sources and time.
Assess & Trace
Evidence-linked cues and assessments with explicit confidence, contradictions, and limitations.
Watch & Brief
Watch conditions, human-reviewed outputs, and decision-support briefs.
Integrate
Approved exports and downstream workflow integration, released under the same review and rights controls.
Source coverage and integrations vary by deployment and approved access.
One traceable workflow,
many source domains
The platform provides a common workflow for signals from public reporting, prediction markets, geospatial data, entity records, and other approved sources.
- Public reporting
- Narratives and media
- Prediction markets
- Geospatial and environmental data
- Entities, ownership and sanctions
- Movement, logistics and connectivity
Source coverage varies by deployment.
Authority, evidence,
and review in one view
A governed run carries identity, delegated authority, bounded tools, evidence state, and release status through the same reviewable envelope.
- Mission question
- Did official reporting support a sustained maritime disruption with measurable effects on oil flows and market conditions?
- Observed time
- Fourth quarter 2025-second quarter 2026 · snapshot 2026-08-11T00:00:00Z
- Supporting evidence
- EIA estimated Hormuz oil flows fell from 21.6 million b/d in 4Q25 to 4.9 million b/d in 2Q26. MARAD assessed commercial-shipping risk as high and reported GNSS interference, spoofing, and jamming.
- Contradicting evidence
- Tanker movements increased after the June 17 memorandum and Brent prices generally declined later in the quarter.
- Confidence
- Moderate
- Limitation
- Flow values are EIA estimates using tanker tracking and additional analysis, not a complete vessel-by-vessel operating picture.
- Watch conditions
- MARAD advisory status, EIA revisions, tanker movements, and reported GNSS disruption.
- Reviewer state
- Human-reviewed historical replay · released for this public case snapshot
Reconstructed from official public records as a fixed, human-reviewed historical case snapshot.
Secure deployment,
by design
Authenticated deployments are separated from the public site and configured around approved data access.
The accepted scope is an isolated, governed proof of concept. Production deployment, unrestricted write-capable tools, peer-to-peer A2A handoffs, and autonomous operational action are outside the current scope.
Request an Operational Briefing
Tell us your mission context and decision challenge. We reply by email to schedule a briefing.