DeepInquiry
The AI-verified fact library. Every claim cross-checked against the open web, cited, dated, confidence-scored, and CiteSig-signed so verifiers can prove the claim without trusting us.
A startup from the United States.
The AI-verified fact library. Every claim cross-checked against the open web, cited, dated, confidence-scored, and CiteSig-signed so verifiers can prove the claim without trusting us.
A startup from the United States.
This page is designed to help you find out whether DeepInquiry is good and if it is the right choice for you.
DeepInquiry is an API of short factual claims. Every fact is returned with its sources, a gold, silver or bronze verification tier, a score from 0.0 to 1.0, and a signature that can be verified.
Most fact data counts how many pages repeat a claim. But a claim that appears on many pages is often one claim copied many times, which makes a weak claim look well supported. DeepInquiry counts separate source groups instead. Before counting, sources are grouped by website, and by parent company for the websites that have been mapped, so ten pages on the same website count as one source group, not ten. Wikipedia, its mirrors and aggregators are set aside whenever a source of another kind exists.
The method has limits, and they are published. The grouping does not catch wire reprints, copied wording, or several outlets relying on the same study. The methodology page explains what is and is not covered.
What you get: - A REST API with JSON responses: list facts, get one fact, get a random fact, and search by meaning - More than 2,800 published facts, each with its full source list - Tier, score and the number of separate source groups on every fact, so your application can set its own bar - A verifiable signature on each fact, and an embeddable widget - An OpenAPI definition for generating clients - Usage reported in the X-Quota-Remaining response header
Pricing: a free key gives 500 requests a month. Paid plans are Starter at $59 a month (10,000 requests), Growth at $219 (50,000) and Scale at $719 (250,000).
DeepInquiry suits developers building research, reference, education and publishing tools, and any product that needs to show where a fact comes from. It has just launched, and feedback on the method and on missing fields is welcome.
Documentation: https://www.deepinquiry.ai/docs Methodology: https://www.deepinquiry.ai/methodology OpenAPI definition: https://www.deepinquiry.ai/openapi.json Contact: api@deepinquiry.ai
Listed in
REST API with JSON responses
https://api.deepinquiry.ai/api
Endpoints
for facts, a single fact by ID, a random fact, and search by meaning
CiteSig
Verifiable signature on each fact (CiteSig)
OpenAPI definition
https://www.deepinquiry.ai/openapi.json
Vercel Supabase PostgreSQL REST API with OpenAPI
DeepInquiry counts separate source groups, not pages. Before counting, sources are grouped by website, and by parent company for the websites we have mapped, so ten pages on one site count as one. Wikipedia, its mirrors and aggregators are set aside whenever a source of another kind exists. Every fact comes back with its sources, a gold, silver or bronze tier, a score from 0.0 to 1.0, and a signature that can be verified. The methodology page also says what the grouping does not catch: wire reprints, copied wording and shared studies.
Choose it if you need to see how a claim is supported, not only whether it is marked true or false. Each fact shows its sources and how many separate source groups stand behind it, so your application can set its own bar. The method is published at https://www.deepinquiry.ai/methodology, there is a free key with 500 requests a month, and the OpenAPI definition is at https://www.deepinquiry.ai/openapi.json.
Developers building products that show or check factual claims, such as research tools, educational and reference apps, and content and publishing tools. It is also for teams that need each fact to carry its sources and a signature they can verify.
A fact that appears on many pages is often one claim copied many times, and counting pages makes a weak claim look well supported. DeepInquiry was built to count the separate source groups behind each claim and show its work. It is made by Machine Accountability Corporation.
We have collected here some useful links to help you find out if DeepInquiry is good.
Check the traffic stats of DeepInquiry on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of DeepInquiry on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of DeepInquiry's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of DeepInquiry on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about DeepInquiry on Reddit. This can help you find out how popualr the product is and what people think about it.
Do you know an article comparing DeepInquiry to other products?
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Is DeepInquiry good? This is an informative page that will help you find out. Moreover, you can review and discuss DeepInquiry here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
