How GiveRadar works
GiveRadar turns scattered government records into clear charity profiles. We collect data from official registries and tax authorities, supplemented by vetted charity directories where a country publishes no registry data. Then we clean and enrich it, score what each charity discloses, put it in context against its peers, and keep it current. This page explains each step in plain language.
From raw data to a living profile
Six steps in three phases turn scattered government records into a charity profile that stays current: first we collect, then we assess, then we publish and keep it live.
Collect from official sources
Government registries, tax authorities, and approved public datasets form the basis of every profile, across 50+ sources. See every source.
Enrich, clean, and normalize
One organization's records are scattered across databases and languages. We match them, drop non-charities and duplicates, and track where every field came from.
Score what each charity discloses
Every charity gets a 0-100 integrity assessment built from five public-disclosure components. It measures public disclosure, not impact, effectiveness, or whether a charity is "good" or "bad". Full scoring on the methodology page.
Surface review signals
Automated checks flag three patterns worth a closer look: high executive pay against budget, stale filings (a gap of five years or more), and bare-minimum disclosure. A signal is a reason to inspect the record, never an allegation, and we never penalize charities for things outside their control.
Put it in context
GiveRadar Analysis compares each charity with peers in the same category, country, and size band. Where the peer group is too small for a fair comparison, we say so instead of forcing a ranking.
Keep it current
Sources re-import on a per-country cadence and a nightly job flags deregistrations, new filings, and score shifts. Every page shows when it was last updated.
What makes our data reliable
GiveRadar's records come from official public sources: government registries, tax authorities, and regulatory filings, supplemented by vetted charity directories where a country publishes no registry data. We do not accept payments from charities to improve their assessments.
Every data point on a charity profile shows where it came from, so you can verify it at the source.
Any organization can request a correction to inaccurate information, removal of personal data such as an individual's name or personal email, or removal of a full listing in specific cases such as a dissolved organization or a genuine safety concern. Requests go to info@giveradar.com and are reviewed by our team.
We collect only the data we need and never share personally identifiable information about donors or users.
Where we do not have enough data to make a confident assessment, we say so.
- Source
- IRS Form 990, filed May 2025
- Cross-checked
- 2 additional sources agree
- Last checked
- June 28, 2026, weekly cadence
- Correction
- Requests to info@giveradar.com, reviewed by our team
We are extending GiveRadar with AI
Reliable, structured records are the foundation; once they are in place, AI can make them more accessible. On that base, GiveRadar is building the next generation of charity discovery and research infrastructure, three things in particular:
Most charity registries in non-English-speaking countries (Japan, Korea, Thailand, China, and others) store data in original scripts. We are translating this data into English while preserving meaning and context, so that small local charities become findable to international donors for the first time.
For each charity, we are building a research layer that identifies the problem and intervention it works on, synthesizes what the scientific literature says about effectiveness, and flags evidence strength as strong, limited, or absent. Where evidence is sparse we say so, and we never produce confident impact scores that the data cannot support.
We are releasing our methodology documentation, data schemas, and research outputs under recognized open licenses (CC-BY 4.0 for documentation, MIT or Apache 2.0 for reference code), so that AI assistants, researchers, and developers can build compatible systems while sustainable commercial access funds the ongoing work.
This work is informed by conversations with leading Dutch sector experts, including Goede Doelen Nederland, Stichting Effectief Doneren, and Kenniscentrum Filantropie, who have reviewed and informed our approach.
Frequently asked questions
Where does the charity data come from?
From official government charity registries and tax authorities across 100+ countries: the IRS in the United States, the Charity Commission in the United Kingdom, the ACNC in Australia, and dozens more. Where a country publishes no public registry data, we use vetted charity directories and say so on the charity's page. The full country-by-country list is on our data sources page.
How often is the charity data updated?
Continuously. Sources are re-imported on a per-country cadence, financial filings typically appear annually when charities submit them, and registration status for many registers is re-checked weekly or monthly. Every charity page shows when its data was last updated.
Can I trust the integrity assessment?
The integrity assessment is calculated algorithmically from publicly available data. It measures how much a charity discloses: registration, financial filings, leadership, contact details, and how recent the data is. It does not measure the impact or effectiveness of a charity's programs. It is a useful starting point for research, not the sole basis for a donation decision. We recommend verifying important information directly with the charity and, for impact-focused giving, consulting specialized effective-giving resources like GiveWell.
How do I research a charity before donating?
Start on the charity's GiveRadar page: confirm it is officially registered, read the integrity assessment and any red flags, open the financials to see revenue, spending, and filing history, and check who leads the organization. Then read the GiveRadar Analysis to see how it compares with similar organizations in its country and size band. For what to look for as a donor, see our guide for donors.
My charity's data is wrong. How do I fix it?
Claim your charity profile: once verified, you can update your description, contact details, and donation link yourself, and add your own financial documents. For anything you cannot edit, or if you believe something is factually wrong, email info@giveradar.com with the correct information and a public source where possible.
Can I remove my charity's listing from GiveRadar?
GiveRadar's charity records come from official government registers that are public by law, so we do not remove listings on request as a matter of routine. We do offer three things. First, you can claim your charity and correct any inaccurate information yourself. Second, we remove personal data, such as an individual's name or personal email address, on request under the right to be forgotten; generic organizational contacts like info@ or contact@ are treated as organizational data and remain. Third, we will remove or suppress a full listing in specific cases, such as an organization that has been dissolved or deregistered, a genuine safety concern, or a record that is not actually a charity. To request any of these, email info@giveradar.com and we respond within 30 days.
How does GiveRadar compare to Candid (GuideStar) or other nonprofit databases?
GiveRadar sits in a broader ecosystem of nonprofit data and giving platforms, each answering a different question. Candid (formerly GuideStar) curates US nonprofit profiles. Charity Navigator rates US 501(c)(3)s. ProPublica Nonprofit Explorer surfaces Form 990 filings. GlobalGiving runs a crowdfunding platform. GiveWell does cost-effectiveness research. IATI is the open data standard for aid transparency. Read the side-by-side honest comparisons of GiveRadar against these platforms.
What AI does GiveRadar use, and where?
Today we use AI for data normalization, entity matching across registries, and summarization of public filings. We are actively developing AI translation and AI-assisted research context features, with a commitment to transparency about AI-generated content: any AI-generated descriptions or research summaries are clearly labeled and include source provenance. Read more about our responsible AI approach on our methodology page.
Now check the charity you give to
Search its name and see everything it discloses in seconds: registration, financials, leadership, and any red flags.