How GiveRadar works
We aggregate charity data from official government sources, run structured integrity checks, and surface red flags, so you can make informed decisions in seconds.
From raw data to actionable insights
Four steps turn scattered government records into a clear picture of any charity.
We collect data from official sources
Our system imports charity data from government registries, tax authorities, and open data portals worldwide. This includes registration records, financial filings (like IRS Form 990 in the US or annual returns in the UK), officer appointments, and more. We currently track over 7 million+ organizations across 65+ countries from 50+ official government sources.
We enrich and normalize
Raw registry data is often incomplete. A charity might have financial data in one database, officer names in another, and no website listed anywhere. GiveRadar cross-references multiple sources to build the most complete picture possible, while tracking the provenance of every data point so users know where each piece of information came from.
We run structured integrity checks
Every charity in our coverage receives a structured integrity assessment based on what the official data actually tells us. We measure operational transparency, financial health, and governance quality: things like registration status, filing compliance, overhead ratios, and disclosed compensation. We are honest that this is an operational integrity signal, not an impact measurement.
We surface red flags
GiveRadar automatically detects potential concerns so you do not have to dig through filings yourself:
- High executive pay relative to budget
- Low program spending (too much going to administration)
- Missing or late financial filings
- Declining revenue or governance concerns
- Sanctions matches or regulatory warnings
- Missing or stale contact information
We are extending GiveRadar with AI
GiveRadar is building the next generation of charity discovery and research infrastructure. We are working on three things:
AI translation of underserved languages
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.
AI-assisted research context
For each charity, we are building a research layer that identifies the problem and intervention the charity works on, synthesizes what the scientific literature says about effectiveness, and honestly flags evidence strength as strong, limited, or absent. Critically, we do not produce confident impact scores for charities that lack the data to support them. Where evidence is sparse, we say so clearly.
An open, AI-readable interface
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.
What makes our data reliable
All data on GiveRadar comes from official public sources: government registries, tax authorities, and regulatory filings. We do not accept payments from charities to improve their assessments.
Provenance tracking
Every data point on a charity profile shows where it came from, so you can verify it at the source.
Correction and takedown process
Any organization that believes information about them is inaccurate can request a correction through a public process. Disputes are reviewed by our team with input from sector partners where relevant.
Data minimization
We collect only the data we need and never share personally identifiable information about donors or users.
Honesty about limits
Where we do not have enough data to make a confident assessment, we say so.
Frequently asked questions
How often is the data updated?
Can I trust the integrity assessment?
My charity's data is wrong. How do I fix it?
How does GiveRadar compare to Candid (GuideStar) or other nonprofit databases?
What AI does GiveRadar use, and where?
Try it yourself
Search any charity in the world and see the full profile in seconds.