Behind every report, donor list, and compliance check sits one unified data layer — the licensed national voter file, the full federal and state campaign-finance record, court and corporate filings, sanctions and adverse-action watchlists, and live social and media coverage. All primary-source, verified, and normalized so you can search them together.
Civly is an AI intelligence platform for campaigns, committees, and partners. Every service draws on the same unified data — here's what each one powers.
A comprehensive, sourced research dossier on any candidate or public figure, drawing on roughly five dozen data sources across finance, voting, court, social, news, and screening.
Explore Research Books →Programmatic access for partners: research reports, multi-platform social analysis, court-opinion search across 10.7 million opinions, real-time screening, and a bulk export of the full research database.
The hub where your team searches every source at once, audits AI narratives across seven engines, builds donor-network intelligence, and turns findings into campaign-ready content.
Explore Command Center → 4National donor profiles combining giving history, party, capacity, and a verified way to reach each person — built on the voter file and the campaign-finance record, with prospecting lists and dossiers.
Explore Donor Prospecting →Coverage across fourteen platforms, plus round-the-clock TV news capture, diarized video and audio transcription, influencer and journalist discovery, reputation monitoring, and media impact readouts that measure what an appearance actually produced.
Address, employment, finance, and lobbying verification, FEC-ready filing, and donor screening against more than forty watchlists.
Explore Compliance →Civly licenses L2, the national voter file — registered voters in all 50 states, with more than 1,500 data points on every record. It's the backbone of Civly's matching, contactability, and audience targeting. One national schema across all 50 states, so a list built in one state works the same way in the next.
| What's on the record | What it covers |
|---|---|
| Registration & status | Active registration, party, and registration date for voters in all 50 states. |
| Vote history | Whether each voter turned out in past primaries and general elections, cycle by cycle. |
| Verified phones | Cell and landline numbers appended to the record for direct contact. |
| Addresses | Current mailing and residential addresses, standardized and mappable. |
| Demographics | Age, gender, and modeled race and ethnicity. |
| District assignments | Federal, state, county, and local district for every voter. |
| Modeled partisanship | Political and turnout scores that rank likely support and likelihood to vote. |
| Wealth & consumer signals | Estimated income, home value, occupation, and education. |
| Lifestyle & interests | Consumer and lifestyle attributes for message and audience targeting. |
| Neighborhood & census | Census and geographic detail around each household. |
128 data sources across finance, voting, court, wealth, influence, risk, media, nonprofit funding, and college athletics — grouped below into the families you would search them by, and normalized so you can search them together.
| Source | What it is |
|---|---|
| Federal (FEC) | Every federal contribution, committee, candidate, and expenditure. More than 200 million contribution records. |
| State & local | Campaign-finance filings from nearly all 50 states, plus local jurisdictions — pulled directly from official government portals and refreshed automatically as new filings post. Where no statewide system covers a local race, county portals are ingested directly. Spending is covered alongside giving — Kansas expenditure filings are loaded, including the scanned paper filings, read column by column so payee names come through usable rather than mangled. See what union political money buys → |
| Behested payments | Payments made at an official's request, on the public disclosure record. Statewide, plus the separate city filings for Los Angeles and Oakland. |
| Source | What it is |
|---|---|
| State legislation & votes | Bills, legislators, and the recorded floor votes of all 50 state legislatures — 51.7 million individual vote records across 1.19 million roll calls, covering 1.49 million bills, plus 184,000 indexed committee hearings. |
| Committee testimony | Who testified on a bill and on which side, from the hearing record. Live in Ohio, with more states to follow. |
| Floor amendments & motions | Amendments and tabling motions pulled from the chamber journals — the procedural votes that decide what a bill becomes and never appear in the official roll-call summary. Recorded votes on resolutions filed under a bill number, which the summary sources drop, are read from the journals as well. Live in Ohio, with more states to follow. |
| Federal bills & votes | Every federal bill since 2003 and roll-call votes, with a legislative-effectiveness score for each member. |
| Congressional Record | Floor statements by members of Congress, 1994 to the present — the largest body of attributable, on-the-record material a member leaves behind. Statements are bound to the member by official identifier, so a common surname never pulls in the wrong legislator, and each extract is labeled as entered into the Record rather than spoken aloud. The Record is edited, and members insert remarks they never delivered. |
| Source | What it is |
|---|---|
| Polling | Aggregated public polls plus independent race ratings. |
| Prediction markets | Live implied win probabilities from Polymarket and Kalshi. |
| Election results & history | Official state canvass data for 2022 and 2024, covering every office on the ballot rather than Congress alone — 39,739 races and 131,005 candidacies across all 50 states and DC, drawn out of 30.7 million precinct-level rows. Candidate names are indexed, so what a person has won or lost is a lookup rather than a search. Multi-seat races are reported as multi-seat races, and write-ins and bookkeeping lines are not counted as candidacies. See which courthouse elections had no opponent → |
| Election schedules | The forward-looking counterpart to certified results: which offices are up for election in a given state and year, in all fifty states. Five states publish an offices-by-year chart and were transcribed directly; for the rest the schedule is built only from checkable facts — federal offices, governor, and legislature, with legislative cycles derived from term length and whether a chamber turns over all at once or half at a time. County offices are read from the state constitution in Texas, from statute for Michigan's county commissioners, and for Colorado's county clerks. Limits are stated per state and per office rather than returned as a confident blank. |
| Ballot measures | Certified ballot-measure results computed per legislative district from the state's own canvass, with the passage threshold and precinct membership handled in code rather than worked out by hand. Live in Ohio, with more states to follow. |
| Political ads | Google political-ad transparency: advertisers, spend, and creatives. |
| Local government | Council and commission meeting records: hundreds of thousands of agenda matters and minutes. |
| Municipal meeting video | Transcribed, speaker-labeled video of 7,272 city and county meetings across 22 states, 2008–2026 — roughly 1.3 million searchable passages, each linked to the exact moment in the source video. |
| Source | What it is |
|---|---|
| Charitable gifts | Major philanthropic gifts, university and museum honor rolls, and the Forbes 400. |
| Securities holdings | SEC filings: institutional 13F holdings, insider trades, private placements, and adviser records. |
| Congressional finances | Member stock trades and net-worth estimates, plus the annual financial disclosures filed by both chambers, refreshed on a schedule. The 2025 Senate filings are in: 104 reports, 97 senators, 7,304 assets. Amended filings are kept alongside the original, so the figure you see is the amended one. |
| Foundation grants | 6.1 million grants read out of IRS filings and made searchable — 4,169,498 paid out by private foundations (990-PF) and 1,979,218 reported by the nonprofits that received them (990 Schedule I). Searchable three ways: what one funder has paid out, what one organization has taken in, and an open search by purpose, recipient state, amount band and year. Private-foundation contributors carry donor geography, enough to find the overlap between a subject's charitable giving and their political giving. See Grant Matching → |
| Who can apply, and by when | Read off the filings themselves: whether a funder accepts unsolicited requests at all — 69% of private foundations state that they only fund organizations they have already chosen — who to address a request to, the deadline, and the geography and field a funder restricts awards to. Where a foundation publishes application terms on its own website, those are read too, after the site is proved to belong to that foundation; that scan covers all 6,014 community foundations. |
| Open federal opportunities | A live feed of federal grant notices, run alongside the filings because a tax return describes a cycle that has already closed: 1,690 notices, 537 of them open to a 501(c)(3), 97% carrying a hard closing date. Sortable by deadline, so what is about to close surfaces first. |
| Calls, conferences & awards | Conferences, awards, pitch competitions and requests for proposals worth applying to, with the closing date read off the call page itself rather than inferred. Built from the noticeboards where solicitations are actually published, not only the individual calls a search surfaces, and refreshed weekly. Something passed on stops being suggested; something left unfinished returns once a new deadline is posted. |
| Nonprofit leadership | Nonprofit officers, directors, and key-employee compensation from IRS 990 filings. Tens of millions of records. Three further schedules are read from the same filings: related organizations, transactions with interested persons, and political and lobbying activity. |
| Physician payments | Pharmaceutical and device-maker payments to physicians, from CMS Open Payments. |
| Public payrolls | Named public-employee salaries. |
| Federal disbursements | SBA PPP loans and USDA farm-subsidy payments. |
| Source | What it is |
|---|---|
| Corporate families | Global legal-entity registry with parent and subsidiary links, plus state corporate registries — including New York, Colorado, Texas, and Florida — for business registrations, officer roles, and sole-proprietor status. Millions of entities. |
| UK companies & owners | The UK company register and its beneficial-owner filings — the named people with significant control behind a British entity, not just the entity itself. |
| Property & county records | Real-estate ownership plus county Registry of Deeds filings — deeds, liens, judgments, and foreclosures — matched to the subject. |
| Patents & trademarks | The federal intellectual-property record, 77 million records: granted patents and registered trademarks with the full ownership chain behind each, patent applications including the ones that never issued, roughly 12 million ownership transfers since 1970 naming both sides of a deal, and trademark disputes — who fought a subject over a brand, and whose brands the subject went after. |
| Liens | Secured-lending (UCC) filings. |
| Aircraft & vessels | FAA aircraft and airmen, Coast Guard documented vessels, and live private-jet tracking. |
| Motor carriers | FMCSA carrier registrations. |
| Source | What it is |
|---|---|
| Court opinions | More than 10.7 million U.S. court opinions, full text and searchable. |
| Dockets & judges | Case dockets, judge profiles, and judicial financial disclosures. |
| Judicial vacancies & appointments | Vacancies and appointments to the bench across eight states, with the election each appointed judge eventually has to face worked out from that state's own rules. Each refresh reports what changed since the last one rather than restating the whole board. |
| State civil & family dockets | State-level civil and family court dockets, on a free-access track. |
| State human-rights commissions | Discrimination and civil-rights complaints resolved at the state level — a record that sits outside the court system entirely. |
| Litigation lookup | Litigation history tied to a person or entity. |
| Environmental | EPA facility enforcement and violations. |
| Workplace safety | OSHA inspections, violations, and accidents — down to the per-person injury detail behind an incident, not just the case summary. |
| Consumer complaints | The CFPB consumer-complaint database. More than 14 million records. |
| Federal rulemaking | Federal Register rules, notices, and presidential documents. |
| Source | What it is |
|---|---|
| Federal lobbying | Lobbying Disclosure Act filings, clients, and lobbyists. Nearly 2 million filings. |
| State lobbying | Lobbyist registrations and expenditures across seven states, plus bill-level registrations — which employers lobbied a specific bill, cross-referenced against the subject's donor list. Bill-level coverage is live in Ohio. |
| Government contracts | Federal contracts and grants, plus state procurement in California, New York, and Texas. |
| Federal registrants | The SAM.gov registry of federal contractors and grantees. |
| Source | What it is |
|---|---|
| Sanctions | The U.S. Consolidated Screening List of twelve government lists, plus federal exclusions, screened in real time. |
| Adverse actions | Health-care exclusions, FBI Most Wanted, FDA debarments, UN sanctions, and Federal Reserve and FEC enforcement. |
| Prosecutions | A searchable archive of Department of Justice press releases. More than 268,000 documents. |
| Document corpus | Screening against the 383,000-document federal document release, with citations. |
| Extremist organizations | A reference list of 229 organizations, used to screen a subject's associations and endorsements. |
| Background & breach | Background-check signals and data-breach exposure checks. |
| Source | What it is |
|---|---|
| Social platforms | Coverage across fourteen platforms: X, LinkedIn, YouTube, Instagram, TikTok, Facebook, Reddit, Bluesky, Substack, Truth Social, Snapchat, Rumble, Twitch, and Mastodon — with subject discovery reaching across the wider fediverse, not just the largest servers. Snapchat's pictures and video are read into words; TikTok reposts are collected and analyzed alongside original posts, which is often where someone shows what they endorse without writing a word of it; and Truth Social is read through the platform's own public API rather than a reseller. |
| Professional & company signals | Hiring, expansion, funding, and leadership announcements from LinkedIn — the growth signals that say an organization is about to need something, pulled from the same feed as the mentions. |
| Podcast & radio | Appearance monitoring across podcast and radio — including shows you can't name in advance — with each appearance verified against the source audio. After the fact, every clip cut from an appearance is traced back to whoever posted it, counted alongside the press pickups it drew. |
| TV news | Four national news channels captured around the clock and transcribed into searchable segments — every recorded hour watchable and clippable, with standing watches that surface a subject across the feed. Civly records and transcribes the broadcast itself, so coverage keeps running rather than depending on someone else's archive. |
| Video & audio | Diarized transcription that labels who said what, so quotes are attributed to the right speaker. Where a platform ships video with no captions, the audio is transcribed rather than skipped. |
| Influencers & journalists | Discovery and search for creators and reporters by topic and reach. |
| News & press | Global news and press coverage, current and archived. |
| Business reviews | Public review and reputation signals. |
| AI narrative | What ChatGPT, Gemini, Claude, Perplexity, Grok, Google AI Overviews, and Google AI Mode say about a subject, graded across all seven. |
Turn a name into a verified way to reach the person.
| Capability | What it does |
|---|---|
| Verified mobile | Cell numbers from the L2 voter file — A+ identity matches carrying L2's strongest phone-reliability score, or the field ships empty. |
| Phone identity match | Confirms a phone belongs to the named person before you dial. |
| Email verification | Deliverability-checked business and personal email. |
| Address standardization | Validated, standardized mailing addresses. |
| Consumer contact append | A name and a verified street address turned into reachable contact information, through EnformionGO: phone numbers carrying the line type and whether the number is still connected, email addresses marked validated and split personal from business, the address history behind the current one, and a confidence score on the person the record belongs to. Built for lists that already carry a county-verified address, such as property records. Anyone who has asked EnformionGO to remove them is suppressed through the same list that carries the voter file's Do-Not-Call flag, so the two cannot drift apart. |
| LinkedIn profile match | The confirmed LinkedIn profile behind a name — current title, employer, seniority, and tenure. The primary source behind lead scoring, B2B targeting, and professional capacity signals. |
| Professional contacts | Business-contact enrichment for organizational outreach. |
| Source | What it is |
|---|---|
| Athletic department finances | Revenues and expenses per team from the federal Equity in Athletics survey every college taking federal student aid files annually, 2019–2025. Because it is a filing obligation rather than a records request, it reaches private universities that databases built on NCAA filings and state public-records law cannot. |
| Booster foundations & NIL collectives | The nonprofits that fund a program, linked to the program they fund — a connection no public record makes. 63 organizations named across 54 of 358 Division I programs, $1.79 billion raised across their most recent IRS filings. Read the analysis → |
| Rosters & athlete production | School rosters and per-athlete season statistics, stored exactly as published so any figure traces back to its source. The inputs behind a NIL valuation and the school comparisons around it. |
| Recruiting & team strength | Recruiting classes and team-strength ratings for college football, and tempo-adjusted ratings for college basketball, loaded from published bulk files rather than a paid API. The 2026 class carries 4,453 recruits with 68 five-stars and a numeric grade on 79% of them; 2025 carries 4,171. The transfer portal is not in these files and is deliberately not built, because a partial portal reads as a complete one. |
| European professional rosters | Rosters from the European professional leagues — the half of a draft class that never appears in a college database. |
| Cross-source athlete identifiers | 10,902 identifiers linking an athlete to the outside databases — 6,627 with a Sports-Reference page, 3,493 with a RealGM page — each carrying the confidence of the match and the reason behind it. The resolver never accepts a name alone: it needs a second fact that independently agrees, such as birth date, birth city, or sport and school both matching. Only hard-evidence matches publish unqualified; the rest travel with their grade attached. |
| Program identity | Every Division I program's mascot and naming variants, so a collective named after neither its school nor its mascot still resolves to the program it funds — the join that surfaced booster foundations no existing list carried. |
| High-school eligibility & NIL rules | All 51 state high-school associations are tracked. Where an association publishes its NIL rule on a web page, that page is checked daily — 16 states so far. Where the rule lives only inside a handbook PDF, the rule is extracted from the PDF; any state we cannot resolve is recorded as unresolved with the reason rather than left blank. |
| Athlete agent registers | State registers of licensed athlete agents. Live in Texas, with more states to follow. |
| Fan forums | School message boards, resolved from the athlete’s own school rather than added one school at a time — so coverage travels with the subject. Where no board is known for a school, the report says so rather than reading as a quiet fanbase. |
Public data arrives messy — a city field with a ZIP code sitting in it, a dollar amount that is really a date, the same donor spelled four ways in four states. Seven steps stand between the raw filing and the answer you get. Walk one contribution record through them.
Every source is pulled from the government portal or the record of origin — never a resold aggregator — and stored exactly as it was filed. All the cleaning that follows happens in a layer above that table, never on top of it.
Dates, dollar amounts, names, and free text are parsed and checked on the way in. A value that cannot be real is emptied rather than guessed at — an empty field is honest, a wrong one is not.
MR, DR, JR, III) are emptied, so no one becomes a person named “Mr.”N/A, NONE, SELF) are emptied so they cannot climb a list of top employers.City and state are the dirtiest fields in public filings and the two people filter on most, so they get a pass of their own. Filers type an address into a city box; a state box collects everything from n.c. to nothing at all.
burnsvile nc 28714, becomes Burnsvile.REDACTED BY SOS, N/A, SAME, VARIOUS — are emptied.Occupation and employer are typed by hand by millions of filers, so the same job arrives spelled a hundred ways. Every distinct value is sorted once into a standard set of groups, so atty at law, Attorney, and Lawyer all filter as Legal.
One person turns up in dozens of filings across several states, spelled inconsistently every time. Resolving those into a single profile is the hardest step here, and the one that makes everything else worth doing.
Clean data nobody can query is not much use. The last mile is a serving layer built so a question that touches hundreds of millions of rows still answers while you wait.
All of the above is enforced by automated tests rather than by habit, because the failures that matter are the quiet ones — a bad row that makes a total look plausible but wrong.
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