External events should become governed records.
Companies have systems of record for internal operations. CrowdAlpha gives outside-world change the same structure: evidence, timestamps, provenance, uncertainty, blockers, and approved interfaces.
The reality layer for AI agents. CrowdAlpha turns licensed, public, sensor, and customer-owned sources into governed Planetary Model context that authorized agents consume through AgentLayer with evidence, provenance, rights, blockers, and next-action posture attached.
Planetary Model
View ->Evidence-linked state for what is true, what changed, uncertainty, blockers, rights, and next-action posture.
AgentLayer
View ->APIs, MCP, SDKs, and A2A access for agents that need structured, paywalled context before implementation.
The thesis
Companies have systems of record for internal operations. CrowdAlpha gives outside-world change the same structure: evidence, timestamps, provenance, uncertainty, blockers, and approved interfaces.
Underwriting, compliance, routing, treasury, operations, engineering, security, and executive teams need to see what changed, why it matters, how uncertain it is, and which evidence supports the record.
Approved agents and software should use governed records through API, MCP, and A2A interfaces to answer known questions and discover stale assumptions, missing evidence, and fixable gaps.
When a record moves into a queue, agent workflow, API response, or brief, evidence, uncertainty, redaction, and timestamp context should move with it.
Domain coverage
CrowdAlpha turns outside-world change into records with evidence, uncertainty, provenance, and interfaces. Packages let customers buy the domains they care about without losing the common state model or access controls.
01 - Products
The same governed record should serve teams that need evidence and systems that need controlled context. The Planetary Model is the enterprise workspace. AgentLayer is the agent and API surface. Domain packages, decision inputs, and evidence bundles are how records enter real workflows.
Change becomes a governed record, not a loose alert.
Sources, confidence, uncertainty, and limits stay with each record.
Teams review the same records that agents and systems query.
Records move through workspace, API, briefing, or decision queue without losing context.
Monday morning
A corridor record changes. The underwriter sees the route, pressure, evidence, confidence, and decision input before cover is approved or referred.
A counterparty relationship becomes uncertain. The compliance team gets entity context, evidence, and review boundaries before escalation.
An implementation agent uses AgentLayer to find a stale assumption, ground the brief in current state and evidence, and avoid brittle web fragments before taking the next step.
A port constraint propagates into route and commodity pressure. Teams get the timing, affected entities, and downstream workflow context.
Built for real adoption
CrowdAlpha is meant to be clear for procurement, credible for operational review, and usable by systems that carry records into downstream workflows.
A reviewer can see what is true, what changed, why it matters, what gap may be costly, and what evidence or uncertainty remains.
The record can be challenged without losing sources, timing, confidence, redaction, and provenance.
Agents and systems use governed interfaces to read the same records instead of inventing context.
03 - Products
CrowdAlpha is built for two users of the same governed record: humans that review evidence, and agent systems that need controlled context before they act.
Domain packages, evidence-linked context, decision inputs, discovery leads, and workspace views for reviewing outside-world change.
Governed API, MCP, and A2A access to the same Planetary Model records and discovery leads for enterprise agents, non-enterprise agents, automations, and managed fleets.
Who it serves
The Planetary Model gives underwriting, compliance, operations, treasury, engineering, security, and leadership teams evidence-linked context for outside-world change and blind spots.
AgentLayer gives approved enterprise and non-enterprise builders a governed way to ground agents in Planetary Model records.
AgentLayer lets authorized agents read governed context and surface blockers before briefing humans or triggering controlled workflows.
The edge
route viability, cover referral, premium context
sanctions exposure, entity context, review support
corridor pressure, route disruption, facility exposure
current records, evidence references, workflow context
04 - Product proof
Product mapAuthorized agents receive value-added data, decision inputs, evidence bundles, updates, governed access, and next-action posture. This view keeps the focus on context humans can review and agent systems can query before implementation.
Sources
Licensed, paywalled, public, sensor, Earth-observation, AIS, sanctions, news, trade, and customer-approved sources enter the same governed funnel.
The source layer stays rights-aware: provider contracts, customer scope, and allowed downstream use remain visible.
Sources
Final output: Raw inputs.
The standard access paths are Builder Evaluation, Team, and Planetary Model packages. Evaluation pilots are scoped deployments. Enterprise access covers rights, security, deployment, usage, and SLA requirements.
Validation before access
$15K-40K / 8-12 weeks, fixed scope
For teams that know the decision they need to support, but not yet the right product boundary. A pilot keeps the question narrow: one package slice, one or two workflows, and enough evidence to decide whether deeper access is justified.
evaluation only
For approved enterprise and non-enterprise builders learning how agents should ask for governed context before any implementation workflow is scoped.
Access rule
Provisioned only after review; not for live decisions.
per year
For teams putting AgentLayer behind internal tools, controlled workflows, and approved implementation agents.
Access rule
Internal use only unless redistribution is contracted.
per year
For teams that need accountable action-ready context for a domain, not a general data feed.
Access rule
Coverage expands only where rights and end use are approved.
Rights by contract
$175K+ / quote-led
For access that cannot be reduced to a plan: multiple packages, sensitive live coverage, redistribution, embedded use, private deployment, security review, procurement, and SLA terms.
Pricing is based on scope, sensitivity, evidence depth, usage, deployment model, and downstream rights.
The Planetary Model gives teams a workspace for review. AgentLayer gives approved agents and software controlled access. Both use the same evidence-linked records.
FAQ
Configured source coverage across maritime, energy, conflict/security, sanctions/compliance, logistics, space/aerospace, cyber, financial markets, commodities, critical minerals/mining, food/water/humanitarian, political/information, weather, and entity-context domains where the data is licensed, public, or customer-approved.
State transitions, evidence receipts, contradiction records, causal paths, decision inputs, domain packages, integration-ready records, and state-derived alerts or reports where applicable.
Builder access is governed and approved-access-first. Public OAuth clients, sandbox keys, and sample-data entitlements remain disabled until approved. Planetary Model packages start at $75K/year.
AgentLayer is for authorized data-consuming agents at multiple scales: enterprise agents, non-enterprise builders, managed fleets, automations, and customer-owned software use governed API/MCP access with package entitlements, spend caps, evidence bundles, discovery reads, and integration access.
It reduces dependence on disconnected dashboards, brittle web fragments, one-off reports, and every agent building its own data funnel by giving authorized agents evidence-linked records they can inspect, query, and integrate.
CrowdAlpha supports intelligence, risk, strategy, and operational research. Outputs are decision inputs with uncertainty and evidence attached, not promises of certainty or trading outcomes.