VALIDATED VERTICAL
Retail prices & product monitoring
Avoid repeated paid extraction while the relevant commercial state is unchanged; force new work when the state fingerprint changes.
Native first: Direct product/state signal, provider cache and source validators when sufficient.
Integration: HTTP/extraction wrapper or monitor middleware
Measured proof →
VALIDATED VERTICAL
Weather-driven downstream analysis
Use cheap/native weather state to avoid repeating paid downstream analysis until relevant state changes.
Native first: Weather provider update cadence, cache and push/event mechanisms.
Integration: State fingerprint + downstream analysis guard
Measured proof →
PROVEN MECHANISM APPLICABLE
AI agent search & research
Coordinate compatible top-level paid search/tool executions only when the caller contract explicitly permits shared fresh results; otherwise preserve the required execution multiplicity.
Native first: Provider caching, framework single-flight, provider request coalescing where available, and the caller's required multiplicity/diversity contract.
Integration: Agent/tool middleware, MCP or SDK wrapper
Measured proof →
PROVEN MECHANISM APPLICABLE
Hosted compute, sandboxes & code tools
Avoid allocating multiple billed sessions when compatible callers require one deterministic execution.
Native first: Provider session reuse and local process coordination.
Integration: Tool/runtime wrapper
Measured proof →
PROVEN MECHANISM APPLICABLE
Web scraping, browser & extraction
Single-flight exact compatible extraction/browser work and reuse bounded results where policy permits.
Native first: HTTP validators, provider cache, native browser/session reuse.
Integration: HTTP/provider SDK wrapper
Measured proof →
PROVEN MECHANISM APPLICABLE
Shared generated artifacts
Generate once when all callers explicitly accept one shared artifact and diversity is not required.
Native first: Existing asset cache/content-addressed storage.
Integration: Generation-tool wrapper
Measured proof →
VALIDATED VERTICAL
Inventory & availability monitoring
Avoid repeated paid extraction/analysis while the authoritative inventory state is unchanged; force fresh work when the state token changes.
Native first: Retailer Product API, webhook/feed events and provider cache. If the native state endpoint fully answers the need, SeenRelay should self-reject.
Integration: State monitor + extraction/analysis guard
Measured proof →
VALIDATED VERTICAL
News & event-driven monitoring
Coordinate bursty search/retrieval around the same event and avoid reprocessing an unchanged event state.
Native first: Feeds, webhooks, publisher updates and search-provider cache.
Integration: Search/retrieval middleware
Measured proof →
EXPERIMENTAL
Live sports & broadcast data
Fan out one qualified live-state observation and reduce repeated recovery/polling or downstream analysis.
Native first: Official push feeds and licensed event streams.
Integration: Stream freshness monitor + local fan-out
EXPERIMENTAL
Logistics, tracking & ETA state
Avoid repeated status analysis while shipment/fleet state is unchanged.
Native first: Carrier push/webhook/state feeds.
Integration: Status/state middleware
EXPERIMENTAL
Financial reference, snapshots & derived analysis
Coordinate repeated analysis of the same explicit market/reference snapshot.
Native first: Streaming market feeds, subscriptions and provider-native snapshots.
Integration: Snapshot-aware analysis guard
EXPERIMENTAL
Threat intelligence & reputation
Reduce repeated paid reputation/lookups inside explicit short freshness windows.
Native first: Vendor cache, feeds and local IOC stores.
Integration: Security enrichment middleware
EXPERIMENTAL
Geocoding & enrichment
Coordinate exact stable lookups where provider terms and freshness semantics permit.
Native first: Local/reference caches and provider-native batching.
Integration: API wrapper
EXPERIMENTAL
Web traffic / observability analysis
Avoid repeated expensive query, enrichment or AI analysis of the same traffic window/watermark.
Native first: OpenTelemetry/eBPF collection, materialized queries and SIEM-native aggregation.
Integration: OTel/SIEM/query middleware
EXPERIMENTAL
Large-scale IoT / edge analytics
One expensive downstream analysis per authoritative machine-state version; re-analyze when state changes.
Native first: MQTT, OPC UA PubSub, Sparkplug state/session semantics.
Integration: Edge analysis guard above native state transport
EXPERIMENTAL
Blockchain RPC & agentic chain reads
Coordinate block-pinned compatible reads, simulations and analysis while revalidating changing head state.
Native first: Subscriptions, batching, Multicall and provider-native controls.
Integration: Block-aware JSON-RPC proxy or SDK transport
EXPERIMENTAL
Inter-blockchain status & finality evidence
Coordinate repeated cross-chain status/finality observations above interoperability transports.
Native first: Quant Overledger, CCIP, LayerZero, Hyperlane, IBC events and protocol lifecycle.
Integration: Cross-chain status/evidence guard
RESEARCH
Robotics & autonomous fleets
Share expensive analysis of identical state/frame evidence and enforce decision-time freshness before dependent actions.
Native first: Real-time control loops, sensor fusion, DDS QoS and safety mechanisms.
Integration: Supervisory/analysis layer only
RESEARCH
Spacecraft, satellites & remote operations
Avoid repeated analysis/compute on identical telemetry while respecting scarce communication and mission freshness.
Native first: DTN, mission control and authoritative spacecraft protocols.
Integration: Analysis/evidence layer only
RESEARCH
Medical data & clinical monitoring
Coordinate versioned downstream analysis and detect stale evidence without replacing clinical source-of-truth mechanisms.
Native first: FHIR Subscription, device-native streams and clinical safety controls.
Integration: Tenant-local downstream analysis only
RESEARCH
Aviation situational data
Potential freshness/fan-out coordination for auxiliary state and downstream analysis.
Native first: Authoritative surveillance/weather/operational streams.
Integration: Non-control supervisory layer
RESEARCH
Industrial automation & digital twins
Avoid repeated supervisory analytics on unchanged state; never suppress hard real-time control/safety execution.
Native first: OPC UA, PLC/control loops and safety interlocks.
Integration: Supervisory analytics layer
RESEARCH
Energy grid & critical infrastructure
Coordinate downstream situational analysis with explicit evidence-age constraints.
Native first: Protection systems, SCADA/telemetry and grid-native controls.
Integration: Supervisory evidence layer only