Signal Bank
What Nexus can tell you — atomic signals, field-level signals, composite & cross-source revelations, lenses, and personas. Status reflects whether the underlying data feed is live on prod.
Atomic
11
Field-Level
92
36 live
Composites
37
Cross-Source
23
Lenses
20
5 templates
Personas
33
Composite Revelations
37Multi-signal patterns that fuse several sources into one verdict. Batch H is the Tagwall construction flagship.
Tagwall flagship · Batch H
Growth stage tenant expansion
Architect repeat developer pattern
Leed registered not yet certified
Corporate real estate program signal
Tenant improvement kickoff
(signal, 0..1) — google_maps + county permits + UCC + state license. Trailing-indicator distress score 6-18 months ahead of public bankruptcy/credit-bureau hits. Highest-ROI composite in the doc. ~50K entities expected (post UCC ingest).
(tag) — storeleads + google_maps absence + Census ACS. Premium DTC brands with no physical storefront. Used by PE / brand-acquisition firms.
(tag) — storeleads + google_maps + state license + WARN. Declining online but rising B&M reviews — the B&M strength masks ecommerce decline.
(tag) — city permits + business license + utility hookup. Zip-level composite (NOT the existing
Multi-NPI provider entities at the same canonical address with diverging state medical licenses AND IRS 990 revenue rising — the healthcare M&A buyers' target list.
Composite 0..1 civic-engagement score from FEC contributions, state SOS officer roles, IRS 990 board seats, and (when available) LD-2 federal lobbying disclosures. LD-2 is un-ingested today; the score degrades to a 3-source formula.
Owner-officer running >=2 commercial properties via >=2 LLCs with UCC equipment financing — small-fund CRE arbitrage pattern. UCC is un-ingested; emitter uses stricter property/LLC thresholds in its absence to avoid false positives.
Workforce-count divergence (>=3x ratio) across DOL H1B, EEO-1, and IRS 990. EEO-1 is not ingested today; the composite still fires on the DOL H1B vs IRS 990 2-source divergence — see the per-composite docstring for the EEO-1 dependency.
Operator group rapidly incorporating entities across >=3 states with recent SEC filings (8-K / Form D / 13D/G) and/or UCC filings against subsidiaries - the classic roll-up M&A signature before the public announcement. UCC is un-ingested; emitter falls back to a stricter (>=4 sta
B2B-heavy operator confirmed across multiple sources (IRS 990 / FMCSA / SEC / LinkedIn) with substantial scale BUT near-zero google_maps presence and no storeleads (consumer DTC). The contrarian moat: promoting the cohort everyone else penalises as low-data-richness.
Entity with at least one foreign-capital indicator -- SEC 13D/G non-US reporting person, state-SOS foreign officer, IRS 990 foreign-grant disclosure, FinCEN BOI (deferred) -- AND active US operations (Maps). KYC / compliance lens primary.
Owner-occupied commercial property with HMDA origination 2022-2024 at >=6% rate AND a distress signal (declining Maps rating, tax-delinquency, UCC) AND no active bankruptcy -- the receptive refi cohort. UCC / tax-delinquency sources are queued; emitter uses a stricter rating-drif
Franchise consolidation
Stealth expansion
Succession risk
Distressed acquisition target
Multi jurisdictional growth
Seasonal revenue cycle
Regulatory capture pattern
Cross state franchise arbitrage
Domestic supply chain resilient
Talent war signal
Architect firm consolidation
Pre construction buildup
Multi site envelope program
Tenant relocation signal
Design firm specification chain
Design firm geographic expansion
Premium finish pipeline
Anchor tenant buildout
Multi brand developer program
Corporate relocation cluster
Cross-Source Revelations
23Conclusions that require >=2 sources on the same resolved entity (e.g. nonprofit that took a PPP loan).
Scaled count of DISTINCT sources confirming this entity (0..1).
signal · cross_source_countEntity is confirmed by 3+ distinct sources.
tag · cross_source:high_confidenceIn both irs_990 and sba_ppp — non-profit that took a PPP loan.
tag · non_profit_with_ppp_loanIn nppes AND (google_maps OR storeleads) — provider with retail presence.
tag · healthcare_provider_with_storefrontIn storeleads AND google_maps — omni-channel small business.
tag · ecommerce_with_physical_storefrontIn fdic AND nppes — anomalous: bank with healthcare NPI.
tag · bank_with_npiPresent in any federal source AND has active phone/website.
tag · fed_contractor_signalCount of distinct federal-regulator sources, scaled to 0..1.
signal · regulatory_density_scoreindustry:<sector> tag from NAICS prefix (per-row Python).
tagsize:<band> tag from employee_count (per-row Python).
tagMeta-signal: cross_source_count >=3 AND phone AND website AND employee_count >=10.
tag · high_value_targetPPP recipient that still shows operating signals: cross_source_count >= 2 AND phone AND website.
tag · pandemic_survivorPPP recipient with NO post-2024 / recent-activity source signals — likely dormant or closed.
tag · pandemic_closure_riskTook federal money (PPP / 7a / HUD permits) AND has courtlistener history — compliance-monitor cohort.
tag · fed_money_recipient_with_litigationSurviving entity at an address where >=50% of co-tenants are inactive or remerged — geographic distress cluster.
tag · address_cluster_declineComposite 0..1 signal: employee_count >= 50, year_established >= 2018, cross_source_count >= 2, took federal money. Scales by employee_count quartile.
signal · high_growth_employerStoreleads (online) AND google_maps (B&M) AND (snap_retailers OR category:retail). The 'modern retail' combo.
tag · omnichannel_retailerNPPES + IRS 990 + >=2 distinct addresses across source-link payloads — hospital system or multi-site provider organisation.
tag · healthcare_consolidation_signalTag pair: bank_branch_active when FDIC entity is_active=true and has google_maps; bank_branch_dormant otherwise. Per-row Python deriver.
tagEntity at an address with >=1 HUD building permit in the last 5 years AND has a commercial NAICS prefix.
tag · real_estate_dev_opportunityComposite 0..1 signal: 10 <= employee_count <= 100, age 5-25y, cross_source_count >= 1, has phone+website. PE acquisition target.
signal · small_business_pe_candidateComposite 0..1 signal: 1 <= employee_count <= 25, took PPP/7a, recent business-license renewal, no recent court issues.
signal · cash_advance_candidateComposite 0..1 priority: court-defendant + federal regulator sources + recent inspection failures.
signal · compliance_monitor_priorityAtomic Signals
11Graph/identity tells + time-derivatives computed directly on the canonical entity surface.
count of OTHER active canonical entities at the same (state, zip5, street_canonical). High counts are the classic mail-drop / registered-agent / shell-LLC pattern. ~24M coverage; the headline single-item ROI item of the plan bundle.
network / identityfor each PERSON, how many distinct entities they're an officer/principal/agent on; broadcast back to every entity they touch as MAX(score).
network / identitycount of OTHER active canonical entities sharing the same normalized E.164 phone.
network / identitycount of distinct US states a given (normalized name) entity appears in across SOS sources.
network / identitypassthrough on canonical_entities.dba_names array length. Cheap but currently not queryable as a signal.
network / identitycount of UCC-1 filings naming the entity as debtor in the last 18 months. We don't have a UCC-to-entity FK so the join is via normalized debtor name + state with trigram matching to tolerate the punctuation drift between CO's debtor file and SOS registrations.
network / identity(score_0_1) Reviews in the trailing --window-days (default 30) divided by the reviews in the immediately-prior --window-days, then mapped to [0, 1] with 0.5 = flat, 1.0 = doubled-or-better. An entity with
time-derivative(scalar mapped to [-1, 1]) Slope of the per-30-day review count over three contiguous 30-day buckets covering the last 90 days. Fitted via the closed-form OLS estimator for three equispaced points; output is normalised by the bucket mean so the same slope on a
time-derivative(scalar mapped to [-1, 1]) mean_rating_last_90d - mean_rating_90_to_180_days_ago, divided by 5.0 (the rating scale) and clipped to [-1, 1]. None is emitted when either window has < 3 ratings.
time-derivative(scalar) (current - prior_yoy) / prior_yoy where
time-derivative(count, exposed as a raw float) Count of new license-issuance events in the last --window-days (default 30) in the entity's zip5. Computed once per zip5 and broadcast to every entity in that zip — same pattern as compute_hotzone_signals.py. None is emitted whe
time-derivativeField-Level Signals
92~90 signals mined from individual source payload fields. Empty source list = feed not live yet (needs data).
batch1
Prevailing wage band for visa role
Fdic asset tier
Fdic specialization
Restaurant violation severity index
Ny cannabis vertical integration tier
Sba 7a franchise code with outcomes
Atf ffl license class expiration risk
Nppes provider taxonomy tier
Irs bmf ntee subsector
Multi state pro license tenure
batch2
(doc 1.11)
(doc 1.12)
(doc 1.13)
(doc 1.19)
(doc 1.20)
(doc 1.27)
(doc 1.28)
(doc 1.24)
(doc 1.25)
(doc 1.31)
batch3
DEFERRED
DEFERRED
DEFERRED sources=14 state_ma_* license tables The TABLE membership itself yields a sub-industry tag.
DEFERRED sources=
PARTIAL sources=
DEFERRED sources=
PARTIAL sources=
DEFERRED sources=
DEFERRED
AVAILABLE
batch4
AVAILABLE
DEFERRED
AVAILABLE
AVAILABLE
AVAILABLE
PARTIAL sources=
AVAILABLE
AVAILABLE sources=
DEFERRED
DEFERRED
batch5
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
batch6
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
batch7
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
batch8
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
batch9
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
DEFERRED
Lenses & Templates
25Customer-specific projections of the shared engine. Templates are the 5 reusable scoring shapes.
Lens templates
Merchant Cash Advance (MCA) underwriting lens template.
Private Equity acquisition target screening lens template.
Account-based sales prospecting lens template.
Fraud investigation lens template — surfaces red-flag overlap.
Construction / A&D / CRE specifier lens template.
Lenses
B&M prospecting / outbound sales
Brick-and-mortar prospecting lens. Optimised for sales teams building call lists from physically-present businesses.
Analysts / BD / regulators / investors
General-intelligence dossier lens. Broadest scope; surfaces events, signals, provenance, and the explanation graph.
Healthcare BD / payer ops / medical-device sales
NPPES-centric provider lens, sorted by re-licensure recency. Surfaces taxonomy + IRS 990 healthcare enrichment fields.
Public affairs / lobbyist / federal-contracting
Every entity with a federal regulatory footprint, ranked by how many distinct federal sources touch it.
Foundation researcher / charity rating / planned giving
IRS 990-centric lens for tax-exempt organisations. Surfaces endowment / income / NTEE classification.
Real estate developer / commercial broker
Commercial-development opportunity lens. Surfaces entities with active building permits, commercial-zoned construction activity, or explicit development-opportunity tags.
Private equity firm / distressed-asset investor
Distressed-asset prospecting for PE buyers. Combines pandemic-closure risk, address-cluster decline, federal funding plus active litigation.
MCA underwriter / alt-finance broker
Merchant cash-advance prospecting. Targets active small businesses with a physical footprint and a credible revenue proxy in the underwritable band.
In-house compliance / RegTech / KYC operations
Compliance / risk monitoring. Surfaces entities with high regulatory density, anomalous cross-source presence, or active litigation flags.
Territory reps selling SaaS/payments/equipment to owner-operators
Owner-operator B&M businesses with exactly one location, an active storefront, and a reachable point of contact. Negatively weights chain / franchise membership.
Franchise-development BD, equipment-leasing reps, multi-location SaaS sales
Operators running >= 2 locations under a shared officer or chain affiliation. Sorted by location-count signal.
HQ-level brand sales (insurance, IT, supply, national accounts)
Chain-HQ-level entities: every member of a tagged chain plus the public-company-chain anchor. Sorted by chain-growth velocity so accelerating brands surface first.
Distressed-asset acquirers, contrarian operators, turnaround consultants
B&M operators showing review-velocity decay paired with cluster-decline tagging. Designed for buyers hunting distressed-but-still-open targets.
Brand-expansion site selection, retail BD, CRE leasing reps
Entities in ZIPs flagged as new-business hot zones with anchor-tenant adjacency and uncrowded NAICS-category density.
CRE brokers, retail-pad site consultants, co-tenancy negotiators
High-rating, high-review-volume entities whose adjacency draws traffic. Targets CRE roles negotiating co-tenancy or pad-site deals.
Bar/restaurant suppliers, alcohol distributors, late-night DSPs
B&M operators with material after-21:00 activity, weighted by rating and review volume. Alcohol-license sources boosted.
Seasonal-supply chain reps, staffing agencies, equipment leasing
Operators with category, hours, or review-distribution signatures of seasonality. Built for reps timing outreach to the pre-season ramp.
Outbound SDRs at vertical SaaS — Toast (restaurant tech), Square (POS), Gusto (payroll), Lightspeed (inventory)
Pre-launch business detection lens. Surfaces entities 30-90 days from operational launch (SOS formation + permits + license filings) that are NOT yet on google_maps. Target persona is the outbound SDR who wants the lead before every other vendor pounces.
Brand partnerships, premium-product placement, tourism boards
Single-location standouts with 4.3+ rating and 200+ reviews — the long tail of cult-favorite B&Ms that aren't chain-owned.
Community-bank underwriters / KYC-ops / EDD analysts pricing operator risk against the ultimate beneficial owner, not the applying LLC
Per-operator (person, not entity) risk index for community-bank underwriting and KYC EDD. Supplements compliance_monitor by weighting the operator-network diamond (Sprint 3) most heavily; surfaces every entity touched by a critical or elevated operator.
Personas
33The job-to-be-done archetypes the onboarding router picks from. Cluster 5 = Construction / A&D / CRE.
Construction / A&D / CRE · 8
lens: construction_specifier
Specialty interior product manufacturer (demountable wall systems, glazing, ceiling, lighting, flooring) selling via the A&D specification channel. Needs to find projects in design-spec phase before they hit bid.
lens: construction_specifier
Tenant-representation broker at a national CRE shop (CBRE, JLL, Cushman, Newmark) representing companies searching for new office, industrial, or retail space.
lens: construction_specifier
Landlord-side leasing broker representing owners marketing vacant space. Needs to find companies likely to sign a lease in their submarket in the next 6-12 months.
lens: construction_specifier
In-house corporate real estate principal at an F500 tenant (CFO, VP Real Estate, Director Workplace). Buys property and signs leases for their own org -- evaluation workflow mirrors a PE screen.
lens: construction_specifier
Owner's-rep project management firm (Cumming, JLL PM, Jacobs) managing tenant buildouts on behalf of tenants / owners. Needs early visibility into permit-pulling expansion accounts.
lens: construction_specifier
Fit-out and MRO distributor (HD Supply, MSC, Grainger) selling building products into active construction programs. Needs to spot projects entering fit-out / FF&E phase.
lens: construction_specifier
Commercial furniture dealer rep for Steelcase / Herman Miller / Allsteel selling systems furniture, seating, and ancillary into tenant buildouts and day-2 refresh.
lens: construction_specifier
Workplace strategy consultant (Gensler Consulting, IA Consulting, Cresa Workplace) advising tenants on portfolio rationalization, hybrid strategy, and workplace experience.
MCA / Lending · 6
lens: mca_underwriting
Short-term merchant cash advance underwriting for SMB applicants. Need fast yes/no on revenue + lien risk.
lens: mca_underwriting
SBA 7(a) / 504 small-business lending. Need long-form credit health, prior-default history, and PG signals.
lens: mca_underwriting
Senior secured commercial lending at a regional bank. Need long-horizon credit picture and collateral perfection signals.
lens: mca_underwriting
Equipment leasing for trucks, restaurant kit, medical, construction. Care about prior equipment UCCs and B&M reality.
lens: mca_underwriting
Invoice factoring / accounts-receivable financing. Need debtor concentration + UCC priority signals.
lens: mca_underwriting
Hard-money / bridge real-estate lending. Care about borrower lien stack, property tax status, and prior-flip track record.
Private Equity · 6
lens: pe_target_screening
Mid-market PE associate sourcing platform and add-on acquisition targets across a defined sector thesis.
lens: pe_target_screening
Search fund principal looking to acquire a single owner-operated SMB and step in as the CEO.
lens: pe_target_screening
Family office analyst evaluating long-hold direct investments across cash-flowing private businesses.
lens: pe_target_screening
Corporate development at a strategic acquirer sourcing tuck-in M&A targets to extend product / geography.
lens: pe_target_screening
Distressed / special-situations PE identifying turnaround candidates and 363-sale opportunities.
lens: pe_target_screening
Lower middle-market PE buying $1–10M EBITDA businesses, often founder-owned, with operational upside.
Sales / GTM · 6
lens: sales_prospecting
Enterprise AE running named-account outbound into Fortune 1000 buyers with multi-stakeholder sales cycles.
lens: sales_prospecting
Outbound SDR booking discovery meetings, needs high-volume qualified-lead lists with fresh contact data.
lens: sales_prospecting
Account manager growing existing-customer revenue. Needs churn-risk and expansion-readiness signals on the book.
lens: sales_prospecting
Alliance manager recruiting and enabling channel partners to co-sell into shared accounts.
lens: sales_prospecting
Channel ops recruiting net-new VARs / resellers to carry a product line and hit a regional revenue plan.
lens: sales_prospecting
Vertical SaaS rep selling industry-specific software to owner-operated SMBs in one tight vertical.
Fraud / Risk · 6
lens: fraud_investigation
KYB analyst at a payments / lending platform onboarding business customers and clearing them through CIP / EDD.
lens: fraud_investigation
Fraud investigator running case-level network analysis on merchants and operators across linked entities.
lens: fraud_investigation
SMB commercial-lines underwriter assessing risk classes, operating reality, and prior-loss patterns.
lens: fraud_investigation
Audit-firm partner using third-party signals to corroborate client representations and flag going-concern risk.
lens: fraud_investigation
Bank / NBFI regulatory examiner preparing for an on-site exam by pre-flagging high-risk supervised entities.
lens: fraud_investigation
OFAC / sanctions screening operator clearing entities and UBOs against SDN, sectoral, and adverse-media lists.
Generic · 1
lens: sales_prospecting
Generic analyst sentinel — used when intake answers don't match any specialised persona. Routes to the broad sales-prospecting template as a safe default.
Generated 5/30/2026, 10:28:53 PM from the live registries via frontend/scripts/gen_signal_catalog.py. Live/needs-data status is cross-referenced against scripts/_signal_source_aliases.py — a signal whose source feed isn't wired on prod is marked "needs data", never presented as available.