GoodLeads — Data Dictionary v2.0

How to read this

Seven pieces of metadata. Per field.

We model this on Acxiom InfoBase and HL7 FHIR — the difference is every field carries provenance and license at the field level, not the record level. Most vendors ship a record with one timestamp. We ship a record with one timestamp per field.

Public Record

Free to use. Sourced directly from Secretary of State filings and federal data.

Enriched

Vendor-licensed. Skip-trace and validation data — terms apply.

Derived

Our IP. Computed by GoodLeads, licensed under your contract.

Confidence on every derivation.

No value ships without a signal telling you how much to trust it. Three patterns appear throughout the dictionary.

Pattern 01 Numeric scores 0–100, reported with score plus named tier — Reachability 73 → "Very Hot."

Pattern 02 Confidence tiers confirmed · likely · possible · unknown — used for classifications.

Pattern 03 Match status MATCHED · NEAREST · NO_MATCH — used for spatial and identity joins.

No matches

Nothing here. Try a different search.

Section 01

Identifiers

The persistent keys you use to track a lead through your CRM, your campaigns, and your conversations.

Field	Label	Type	Source	License	Coverage	Use case
lead_ref	Lead Reference	Text · `GL-{STATE}-{NNNNN}`	derived	Derived	Always	Speak about a lead in plain language: "GL-CO-12345 just hit Very Hot." Stable across enrichment cycles.
contact_ref	Contact Reference	Text · `GLC-{NNNNN}`	derived	Derived	Always	Track a person across multiple businesses. One contact may link to many entities.
state_entity_id	State Entity ID	Text	co_sos · fl_sunbiz · va_scc	Public	Always	The state's own ID. Use to look up the original filing.
source_system	Source System	Categorical · CO_SOS, FL_Sunbiz, VA_SCC	co_sos · fl_sunbiz · va_scc	Public	Always	Which state the record came from.

Section 02

Business Profile

The core firmographic record — what every B2B data product ships, normalized to a single canonical schema across 50 state formats.

Field	Label	Type	Source	License	Coverage	Use case
entity_name	Business Name	Text	SOS pull	Public	Always	The legal name as filed.
entity_type	Entity Type	Categorical · LLC, Corporation, LP, LLP, PC, PLLC, Partnership, Other	SOS pull	Public	Always	Legal structure — drives qualification rules and tax/banking pitches.
formation_date	Formation Date	Date · ISO 8601	SOS pull	Public	Always	The day the business was created. Days-since-formation is the single strongest "moment of formation" signal.
status	Filing Status	Categorical · Active, Inactive, Dissolved, Withdrawn	SOS pull	Public	Always	Current standing with the state.
jurisdiction	Jurisdiction of Formation	Categorical · DOMESTIC_{ST}, FOREIGN_{ST}	SOS pull	Public	Always	Where the entity was formed (domestic vs. foreign authority).
officer_count	Officer Count	Integer	SOS pull	Public	FL/VA: yes; CO: ra_only	Number of officers on the filing. Drives our "is this a solopreneur" inference.
public_available_at	Public Available Date	Date	SOS pull	Public	Always	When the record became publicly searchable — the start of the speed-to-contact race.
standing_status_as_of	Standing Status As Of	Date	co_sos	Public	CO only	Date status was last refreshed with the state.

Section 03

Location & Geography

The SOS gives you a string. We give you a parsed, geocoded, census-attributed location.

Field	Label	Type	Source	License	Coverage	Use case
principal_address_raw	Principal Address (Raw)	Text	SOS pull	Public	Always	The address string exactly as filed. Kept for audit.
principal_address_normalized	Principal Address (Normalized)	Object · {street, city, state, zip, country}	derived	Derived	Always	Parsed and standardized. USPS-style normalization across 50 state formats.
principal_city	Principal City	Text	SOS pull	Public	Always	Geographic targeting at city granularity.
principal_state	Principal State	Text · 2-letter	SOS pull	Public	Always	State of the principal address (may differ from formation state for foreign filings).
principal_zip	Principal ZIP	Text	SOS pull	Public	Always	ZIP-level targeting and DMA rollup.
mailing_address_raw	Mailing Address (Raw)	Text	SOS pull	Public	State-dependent	Where the business receives mail (often a personal address — strong contact signal).
mailing_address_normalized	Mailing Address (Normalized)	Object	derived	Derived	State-dependent	Parsed mailing address.
mailing_city	Mailing City	Text	SOS pull	Public	State-dependent	—
mailing_state	Mailing State	Text · 2-letter	SOS pull	Public	State-dependent	—
mailing_zip	Mailing ZIP	Text	SOS pull	Public	State-dependent	—
latitude	Latitude	Numeric · decimal degrees	us_census_geocoder	Public	~92%	Map placement, radius search, drive-time targeting.
longitude	Longitude	Numeric · decimal degrees	us_census_geocoder	Public	~92%	Same as above.
geocode_status	Geocode Match Status	Categorical · Match, No_Match, Tie	us_census_geocoder	Derived	Always	Whether the address geocoded cleanly. Tie flags ambiguous addresses.
county_fips	County FIPS Code	Text · 5 digits	us_census_geocoder	Public	~92%	Federal county code. Joins to BLS, IRS, and FEMA data.
census_tract	Census Tract	Text · 11 digits	us_census_geocoder	Public	~92%	Demographic and income-band rollups via ACS data.

Section 04

Industry Classification

We don't buy NAICS/SIC from a third party. We classify every entity ourselves at load time — rule-based fusion of suffix patterns, keyword matching, and entity-type rules. Confidence ships with every value.

Field	Label	Type	Source	License	Coverage	Use case
industry_sector	Industry Sector	Categorical · 14 values incl. Healthcare, Construction, Technology, Real Estate, Finance, Retail, Manufacturing, Hospitality, Transportation	classification_svc	Derived	~96%	High-level segmentation for campaign routing.
industry_name	Industry	Categorical · 113 values (Psychology, Landscaping, Software Development, Property Management, Accounting, Dental Practice…)	classification_svc	Derived	~96%	Granular industry — the right altitude for vertical-specific outreach.
industry_formation_code	Industry Code	Text · hierarchical (HC-PSY, CON-LAND…)	classification_svc	Derived	~96%	Stable code for joins and CRM mappings.
industry_confidence_score	Industry Confidence	Numeric · 0.0–1.0	classification_svc	Derived	~96%	Numeric confidence from the fusion classifier.
industry_confidence_tier	Industry Confidence Tier	Categorical · confirmed (≥0.85), likely (≥0.60), possible (≥0.40), unknown (<0.40)	classification_svc	Derived	Always	Decision rule for downstream filtering — most teams target confirmed + likely only.
industry_signals_count	Classifier Signals	Integer	classification_svc	Derived	Always	How many independent signals agreed on the classification. Higher = more robust.

Section 05

Property Intelligence

Where most B2B data products end, we begin. Every principal address joined against ~16M parcel boundaries. A residential principal address is a different sales motion than a commercial one — we surface that distinction at load time.

Field	Label	Type	Source	License	Coverage	Use case
property_classification	Property Type	Categorical · RESIDENTIAL, COMMERCIAL, INDUSTRIAL, AGRICULTURAL, MULTI_FAMILY, MIXED_USE, VACANT, EXEMPT, UNKNOWN	property_classification_svc	Derived	~83%	Distinguish home-based businesses from offices. Filter out shell companies (vacant).
property_classification_raw	Property Type (Raw Code)	Text	property_classification_svc	Public	~83%	The unmodified county property-use code.
property_type_detail	Property Subtype	Text · Single Family, Condo, Office Building, Warehouse, Apartment…	property_classification_svc	Public	~83%	Sub-type granularity from county records.
property_is_vacant	Is Vacant	Boolean	property_classification_svc	Derived	~83%	Strong shell-company signal — vacant principal address = exclude.
property_assessed_value	Assessed Value	Integer · USD	property_classification_svc	Public	~83%	County-assessed total value. Proxy for owner net worth and account size.
property_lookup_confidence	Property Match Confidence	Categorical · MATCHED, NEAREST, NO_MATCH	property_classification_svc	Derived	Always	How confident the spatial join is. MATCHED = exact parcel; NEAREST = best guess within 50m.
parcel_id	Parcel ID	Text	property_classification_svc	Public	~83%	County parcel identifier for deeper records lookup.
data_vintage	Property Data Vintage	Date	property_classification_svc	Public	~83%	When the parcel data was last published — tells you how fresh the assessed value is.

Section 06

Registered Agent Intelligence

Proprietary IP. The SOS gives you an RA name and address. We give you cross-state volume, market tier, formation-service brand attribution, and a GTM segment — all derived from a curated registry built from SEC filings, BBB records, and acquisition tracking.

Field	Label	Type	Source	License	Coverage	Use case
registered_agent_name	Registered Agent Name	Text	SOS pull	Public	Always	The named RA on the filing.
registered_agent_address_raw	RA Address (Raw)	Text	SOS pull	Public	Always	Raw RA address.
registered_agent_address_normalized	RA Address (Normalized)	Object	derived	Derived	Always	Parsed RA address.
ra_type	RA Type	Categorical · P (Person), C (Corporation)	fl_sunbiz	Public	FL only	Person or commercial RA service.
ra_self_represented	Self-Represented	Boolean	derived	Derived	Always	True if the owner filed as their own RA — strong "founder-led, no formation service" signal.
ra_market_tier	RA Market Tier	Categorical · premium ($300+/yr), midmarket ($100–200), budget ($0–50), local, individual, suspicious, unknown	ra_intelligence_svc	Derived	Always	Indicates the price tier the founder paid for formation help. Premium = mature / cost-insensitive; Budget = price-shopping DIY founder.
ra_entity_volume	RA Entity Volume (Cross-State)	Integer	ra_intelligence_svc	Derived	Always	How many entities this RA serves across our entire dataset.
ra_address_cluster_count	RA Address Cluster Size	Integer	derived	Derived	Always	Number of entities sharing the exact RA address — flags shared commercial offices and mail-drops.
ra_is_attorney	RA Is Attorney	Boolean	ra_intelligence_svc	Derived	Always	Attorney-as-RA pattern. Strong signal of premium legal-services formation path — different motion than DIY founders.
contact_name_in_entity_name	Contact Name In Entity Name	Boolean	ra_intelligence_svc	Derived	Always	Owner's name appears in the business name (e.g. "Smith Consulting LLC"). Lifts contact-relevance and confidence.
gtm_segment	Go-to-Market Segment	Categorical · owner_operator, budget_formation, midmarket_formation, premium_established, suspicious_exclude, unclassified	ra_intelligence_svc	Derived	Always	The single most useful field for campaign segmentation. Combines RA tier + self-rep + jurisdiction + officer count.

RA Portfolio Shape

What this RA's book of business actually looks like

Beyond volume and price tier — three percentages that describe the kind of clients an RA serves. A budget RA with 95% LLC + 90% single-officer clients is selling to one persona; a premium RA with 30% foreign-filed corporates is selling to a completely different one.

Field	Label	Type	Source	License	Coverage	Use case
domestic_pct	Domestic Filing %	Numeric · 0–100	ra_intelligence_svc	Derived	Always	% of this RA's clients formed in the same state where the entity is registered. High = local RA serving local businesses; low = cross-border filing operation.
llc_pct	LLC Mix %	Numeric · 0–100	ra_intelligence_svc	Derived	Always	% of clients that are LLCs vs. corporations / LPs. Discount RAs skew heavily LLC; corporate-focused RAs less so.
single_officer_pct	Single-Officer %	Numeric · 0–100	ra_intelligence_svc	Derived	FL / NY (officer data); CO/VA may report 0 — sparse officer data, not a bug	% of clients filing with exactly one officer/member. Proxy for "kitchen-table" small businesses vs. real operating entities.

Section 07

Formation Service Attribution

Who did this founder buy their LLC from? LegalZoom? Bizee? TailorBrands? We answer that with a curated registry of 20+ formation services and their RA subsidiaries — evidenced from SEC 10-Ks and acquisition disclosures.

Field	Label	Type	Source	License	Coverage	Use case
formation_service	Formation Service	Categorical · LegalZoom, ZenBusiness, Bizee, TailorBrands, Inc Authority, Northwest, IncFile, Stripe Atlas, Doola, None…	ra_intelligence_svc	Derived	~30% (when identifiable)	Identify which formation product the founder already trusts — informs partnership conversations and competitive displacement plays.
ra_provider	RA Provider	Categorical · same enum as formation_service	ra_intelligence_svc	Derived	Always (when RA is a known provider)	Who operates the RA subsidiary. May differ from formation_service when ownership is layered.
formation_service_confidence	Attribution Confidence	Categorical · certain, very_high, high, medium, low	ra_intelligence_svc	Derived	When formation_service is set	Higher = brand name appears directly in RA. Lower = inferred from address co-location.
formation_service_attribution	Attribution Method	Categorical · direct, ra_only	ra_intelligence_svc	Derived	When formation_service is set	How we made the call. direct is bulletproof; ra_only requires confidence-tier filtering.

Section 08

Contact

The person you actually call. We never ship "info@" addresses or main switchboard numbers — every contact is name-matched to an officer, owner, or self-representing RA.

Field	Label	Type	Source	License	Coverage	Use case
contact_name	Contact Name	Text	SOS pull · tracerfy · derived	PublicEnriched	Always	Full name. From the filing when officers are listed; from skip trace otherwise.
role_title	Role / Title	Text · CEO, President, Owner, Manager, Member, MGR, P/S…	SOS pull	Public	State-dependent	Job title from the filing. Drives decision-maker scoring.
relationship_type	Relationship to Business	Categorical · OWNER, OFFICER, REGISTERED_AGENT	derived	Derived	Always	How this person relates to the business.
phone_primary	Primary Phone	Text · E.164	tracerfy · enformion	Enriched	~60% Tracerfy + gap-fill	Best phone. Mobile preferred over landline; landline preferred over VoIP.
phone_secondary	Secondary Phone	Text · E.164	tracerfy	Enriched	Enriched	Second-best phone.
phone_tertiary	Tertiary Phone	Text · E.164	tracerfy	Enriched	Enriched	Third-best phone.
email_primary	Primary Email	Text	tracerfy · enformion	Enriched	~48% Tracerfy + gap-fill	Best email.
email_secondary	Secondary Email	Text	tracerfy	Enriched	Enriched	Second-best email.

Section 09

Email Validation

Every email runs through ZeroBounce. We report the result, the inbox-activity recency, and whether the name on the inbox matches the person on the filing. Most providers ship "valid" or "invalid." We ship the full diagnostic.

Field	Label	Type	Source	License	Coverage	Use case
zb_email_status	Deliverability Status	Categorical · valid, catch-all, abuse, invalid, unknown	zerobounce	Enriched	Enriched	Whether the email will deliver.
zb_email_sub_status	Deliverability Sub-Status	Categorical · alternate, mailbox_not_found, greylisted, role_based, disposable…	zerobounce	Enriched	Enriched	Detail behind the status. role_based = info@-style. alternate = better address available.
email_is_free_provider	Is Free Provider	Boolean	zerobounce	Enriched	Enriched	Gmail/Yahoo/Outlook/Apple flag. Personal vs corporate signal.
email_smtp_provider	Email Infrastructure	Categorical · google, microsoft, yahoo, apple, comcast, rackspace…	zerobounce	Enriched	Enriched	Who runs the inbox. Tier-1 providers (Google, Microsoft) deliver more reliably.
email_mx_found	MX Records Present	Boolean	zerobounce	Enriched	Enriched	Prerequisite for delivery.
email_mx_record	MX Record	Text	zerobounce	Enriched	Enriched	The actual MX string.
email_domain_age_days	Domain Age (Days)	Integer	zerobounce	Enriched	Enriched	Domain age. New domains = higher spam risk.
email_activity_found	Inbox Activity Detected	Boolean	zerobounce	Enriched	Enriched	The strongest "is this person reading mail" signal we have.
email_active_in_days	Days Since Last Activity	Integer / categorical · 60, 90, 180, 365, 365+	zerobounce	Enriched	Enriched	Recency of inbox activity. Drives the Reachability score.
zb_name_first	Inbox Account First Name	Text	zerobounce	Enriched	Enriched	The first name registered on the inbox account.
zb_name_last	Inbox Account Last Name	Text	zerobounce	Enriched	Enriched	Last name registered on the inbox.
email_name_verification	Name vs. Filing Match	Categorical · FULL_MATCH, LAST_MATCH, FIRST_MATCH, NO_MATCH	derived	Derived	Enriched	Does the name on the inbox match the name on the filing? Catches forwarded inboxes, family-shared addresses, and impersonation.

Section 10

Phone Validation

Field	Label	Type	Source	License	Coverage	Use case
phone_validity	Phone Validity	Categorical · MOBILE_VALID, LANDLINE_VALID, VOIP_VALID, INVALID, UNKNOWN	tracerfy	Enriched	Enriched	Active mobile, landline, or VoIP. Mobile has the highest connect rate.
enf_phone_primary	Gap-Fill Phone	Text · E.164	enformion	Enriched	Gap-fill only	Best phone from EnformionGo when Tracerfy missed.
enf_phone_connected	Gap-Fill Phone Active	Boolean	enformion	Enriched	Enriched	Whether the gap-fill phone is currently connected.
enf_phone_last_seen	Gap-Fill Phone Last Seen	Date	enformion	Enriched	Enriched	Most recent date the number was reported active.

Section 11

Reachability Score

0–100 composite answering one question: can we reach this person? Every component ships alongside the score. See exactly how it was built. Tune your own thresholds.

Field	Label	Type	Source	License	Coverage	Use case
reachability_score	Reachability Score	Integer · 0–100	scoring_svc	Derived	Always	The headline score. Tunable threshold for cohort selection.
reachability_tier	Reachability Tier	Categorical · On Fire (80–100), Very Hot (60–79), Hot (40–59), Warm (20–39), Cold (0–19)	scoring_svc	Derived	Always	Named tier — drop into a CRM lifecycle stage without further work.

Score Components

Shipped in the parameters payload

Component	Max points	What it measures
email_validity_pts	25	ZeroBounce status — valid and catch-all score highest.
email_activity_pts	20	Inbox activity recency. 0–60 days = full points.
phone_reach_pts	20	Phone availability and type. Mobile > landline > VoIP.
geo_intel_pts	10	Geocode precision — lat/lon + county + census tract all present.
name_verify_pts	10	First/last name match between ZeroBounce inbox and SOS filing.
identity_conf_pts	10	Skip-trace identity confidence (Tracerfy name match).
email_infra_pts	5	Top-tier email provider + MX records present.
industry_bonus_pts	5	Industry classification confidence bonus.

Never-Downgrade Protection

Once a record reaches a score, a subsequent reload cannot lower it. Paid enrichment is irreversible — the data is too.

Section 12

Contact Relevance Score

0–100 composite answering an orthogonal question: is this the RIGHT person to sell to? A contact can be highly reachable but the wrong person — a commercial RA employee instead of the founder. This score separates them.

Field	Label	Type	Source	License	Coverage	Use case
contact_relevance_score	Contact Relevance Score	Integer · 0–100	scoring_svc	Derived	Always	Headline relevance score — decision-maker proxy.
contact_relevance_tier	Contact Relevance Tier	Categorical · Decision Maker (85–100), Likely Decision Maker (65–84), Probable Contact (45–64), Uncertain Contact (25–44), Unlikely Decision Maker (0–24)	scoring_svc	Derived	Always	Named tier — most teams target Decision Maker + Likely.

Score Components

Shipped in the parameters payload

Component	Max points	What it measures
self_representation_pts	25	Self-rep RA + individual RA = founder filing alone.
contact_name_source_pts	20	Officer (best) > Owner > RA person > Commercial RA.
location_uniqueness_pts	20	How many entities share this lat/lon. Unique = real address.
contact_exclusivity_pts	15	How many entities this contact links to. 1 = exclusive; 51+ = shared mail-drop.
name_in_entity_pts	10	Person's name appears in the business name (e.g. "Smith Consulting LLC").
ra_tier_pts	5	Individual RA scores higher than commercial.
entity_type_pts	5	Domestic LLC + 1 officer = highest.
interaction_penalty	−10	Applied when contact is on 4+ entities AND 6+ entities share location. Catches commercial-RA office pattern.

Section 13

Contact Confidence Score

0–100 composite answering a third orthogonal question: are we confident this email or phone really belongs to this person? A reachable, relevant contact can still be the wrong identity — a forwarded inbox, a family-shared phone, a name collision. This score isolates that risk.

Field	Label	Type	Source	License	Coverage	Use case
contact_confidence_score	Contact Confidence Score	Integer · 5–100 (floor of 5; never zero)	scoring_svc · contact_confidence_v1.1	Derived	Always	Headline identity-confidence score. Pair with Reachability + Relevance for a three-axis lead-quality picture.
contact_confidence_tier	Contact Confidence Tier	Categorical · Verified Contact (75–100), Likely Contact (50–74), Possible Contact (25–49), Uncertain Contact (5–24)	scoring_svc · contact_confidence_v1.1	Derived	Always	Named tier — most teams gate outbound at Verified + Likely.

Score Components

Five weighted signals · sum to 100

Component	Max points	What it measures
email_name_match	30	Does the email local-part contain name tokens that match the filing? Strongest single identity signal.
zb_quality	20	ZeroBounce validity + recent inbox activity (someone is actually reading this mailbox).
phone_ra_alignment	20	Mobile phone + self-represented RA = the founder's personal line. Strongest paired identity signal.
property_context	15	Residential principal address raises confidence (vs. shared commercial / virtual-office address).
ra_self_rep	15	Self-rep RA = the contact almost certainly IS the founder, not an employee or RA service rep.

Three Orthogonal Scores

Reachability answers "can we reach them?" · Relevance answers "are they the right person?" · Confidence answers "is this contact really them?" A lead can be high on any two and low on the third. Most providers ship one score (or none). We ship all three, with components.

Section 14

Pre-Enrichment Strategy

Before we spend a single skip-trace credit, our Contact Intelligence service decides how to enrich each entity. This is the field that explains why some leads got 2-credit advanced traces and others got 1-credit basic.

Field	Label	Type	Source	License	Coverage	Use case
enrichment_strategy	Enrichment Strategy	Categorical · name_and_address, address_only, mailing_fallback, hold	contact_intelligence_svc	Derived	Always	The strategy we used (or would use) for skip-tracing this entity.
name_confidence	Name Confidence	Categorical · high, medium, low	contact_intelligence_svc	Derived	Always	How confident we are that the contact name is a real, unique person.
address_confidence	Address Confidence	Categorical · high, medium, low	contact_intelligence_svc	Derived	Always	How confident we are that the address is a real, residential, non-shared location.
name_density	Name Density	Integer	contact_intelligence_svc	Derived	Always	Number of entities sharing the same contact name. High = generic/common name (lower identity confidence); 1 = unique person.
address_density	Address Density	Integer	contact_intelligence_svc	Derived	Always	Number of entities at the same principal address. 1 = real address; 50+ = mail-drop / virtual office / commercial RA building.
cross_state_contact_count	Cross-State Contact Count	Integer · 1–4	contact_intelligence_svc	Derived	Always	How many of the live states this contact name appears in. Multi-state presence is a strong serial-founder / professional-filer signal.

Section 15

Gap-Fill Vendor Data

When Tracerfy can't find a contact, we fall back to EnformionGo. These fields show up only on records where the gap-fill ran.

Field	Label	Type	Source	License	Coverage	Use case
enf_identity_score	Gap-Fill Identity Score	Integer · 0–100	enformion	Enriched	Gap-fill only	EnformionGo's own match-confidence score. Average ≥96 on matches.
enf_email_primary	Gap-Fill Email	Text	enformion	Enriched	Gap-fill only	Best email from gap-fill when Tracerfy missed.
enf_age	Estimated Age	Integer	enformion	Enriched	Gap-fill only	Reported age — useful for life-stage targeting.

Section 16

Provenance & Audit

Every value above ships with three pieces of audit metadata. Available on request via the provenance sidecar export.

Field	Label	Type	Source	License	Coverage	Use case
source_name	Source (per attribute)	Text	derived	Derived	Always	Where this specific value came from. Per-field, not per-record.
license_flags	License (per attribute)	Categorical · PUBLIC_RECORD, ENRICHED, DERIVED	derived	Derived	Always	Licensing tier — drives compliance and data-sharing rules.
observed_at	Observed Timestamp (per attribute)	DateTime · ISO 8601	derived	Derived	Always	When this specific value was captured or last refreshed.
score_version	Score Version	Text · semver	scoring_svc	Derived	Always	The scoring algorithm version that produced this record's scores. Lets you reason about model drift.

Appendix A

Coverage by State

Observed fill rates from production runs (refreshed monthly), plus forward-looking forecasts for newly-onboarded states. Forecasts are dashed and prefixed with "~" so they're not mistaken for measurement — they reflect the deal-requirement floors (45% phone / 35% email) and the average of established states.

Solid cell = data-status="observed" · production fill rate Dashed cell = data-status="forecast" · projection · not yet measured

Stage / Source	CO	FL	VA	NY	GA next
SOS filing fields	100%	100%	100%	100%	100%
Geocoding	90%	92%	93%	92%	—
Industry classification	95%	96%	96%	96%	—
Property classification	76%	88%	84%	80%	—
RA intelligence	100%	100%	100%	100%	—
Skip-trace phone	56%	64%	87%	45%	—
Skip-trace email	41%	53%	59%	35%	—
Email validation	48%	48%	48%	48%	—
Reachability score	100%	100%	100%	100%	—
Contact Relevance score	100%	100%	100%	100%	—
Contact Confidence score	100%	100%	100%	100%	—

Appendix B

What's Different

A scraper ships you SOS data with a timestamp. We ship you the same SOS data — plus six things nobody else delivers.

— 01

Three Orthogonal Scores

Reachability ("can we reach them?"), Contact Relevance ("are they the right person?"), Contact Confidence ("is this contact really them?"). Plus 15+ derived classifications — Industry, Property Type, RA Market Tier, GTM Segment, Formation Service, RA Portfolio Shape, Density signals, Enrichment Strategy. All computed by us.

— 02

Cross-State Entity Resolution

Same RA, same contact — identified across CO, FL, VA at load time. Without you doing any joins.

— 03

Per-Field Provenance

Every value carries source, license, and timestamp. Audit any cell. Most vendors ship one timestamp per record. We ship one per field.

— 04

Per-State Semantic Mapping

"What does mailing address mean in NY vs FL vs CO." We've solved that. Your CRM sees one canonical schema across 50 state formats.

— 05

Confidence on Every Derivation

No value ships without a tier or score telling you how much to trust it. No black boxes.

— 06

Field-Level License Classification

PUBLIC_RECORD, ENRICHED, and DERIVED tracked at the field level. Your compliance team can reason about residency, sharing, and resale.