Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31
RagAPIragapi.org
RagAPI offers an API to quickly build 'Chat With PDF' functionality, enabling users to integrate conversational interfaces for documents into their sites or applications.
Developer & AI Platformragapi.orgTracked since 2026-08-211 discovery source 38Backlinks
36Referring domains
-23.8%Referring domains · 90 days
Authority & distribution
How strong is RagAPI’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
38Current snapshot
Referring domains
36Current snapshot
90-day move
-23.8%Referring domains, last 90 days
Search demand
What people search before they reach RagAPI.
AI referral visibility
Which AI assistants are already sending RagAPI traffic?
Product profile
What RagAPI is selling.
Traffic makes more sense when you can connect it to the actual product promise.
“RagAPI”
RagAPI offers an API to quickly build 'Chat With PDF' functionality, enabling users to integrate conversational interfaces for documents into their sites or applications.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.ragapi.org
Observed across 1 discovery source.
Research questions
What the evidence answers about RagAPI.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does RagAPI do, and what problem does it solve?
RagAPI provides an API to quickly build 'Chat With PDF' functionality, enabling the integration of conversational interfaces for documents. It solves the problem of easily adding Retrieval Augmented Generation (RAG) capabilities to applications, allowing users to query content from PDFs, text, audio, and websites.
What features does RagAPI offer?
RagAPI offers an easy-to-use API with documentation for integration in minutes. Key features include privacy-first encryption for files during transfer and deletion after usage, live support via Discord or email, and upcoming support for audio transcription and website interaction.
How is RagAPI priced or packaged?
The evidence indicates that RagAPI offers enterprise solutions for a full custom solution, but specific pricing tiers or packages are not detailed in the provided information.
What is RagAPI used for, and in what situations?
RagAPI is used to supercharge businesses with enterprise solutions and to integrate conversational interfaces for documents into sites or applications. It is designed for developers who need to quickly add document querying capabilities like 'Chat With PDF' to their projects.
Who is RagAPI for?
RagAPI is for developers and businesses looking to integrate AI-powered document interaction into their applications. Its API service is categorized as a Developer & AI Platform tool.
What is RagAPI?
RagAPI is an API service that makes Retrieval Augmented Generation (RAG) easy, allowing users to integrate AI-powered document interaction into their applications.
Behind the lock
Unlock full RagAPI intelligence.
- Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
- AI referral detailHow much traffic assistants send.
- Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
- The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured