--- url: "https://predictiontoolkit.com/tools/factsai/" publisher: "PredictionToolkit" dateModified: "2026-11-03" --- [← News & OSINT]() ![FactsAI logo]() Data API # FactsAI: cited research answers through a JSON API FactsAI supplies source-linked answers through a JSON API for applications and agents gathering evidence about events. [**3.5**/ 5Editorial rating]() [Editorial assessment]() [Explore FactsAI research API]() factsai.org **Available on:** API **Pricing:** [See plans and costs ↓]() [Screenshots]() [Explore alternatives]() **Availability: public** [News & OSINT]() [Data APIs]() ## Screenshots and interface Product preview1 / 1 The provider’s presentation; no authenticated request was submitted in the review. ## What is FactsAI? Use the API to ask a narrowly scoped factual question, then inspect the cited material against the answer. For a prediction-market question, the useful integration step is mapping that evidence to the contract’s exact wording and deadline, while preserving the date of the evidence. The cited answer and the contract conditions serve different roles. FactsAI is general research infrastructure. The reviewed material does not establish a Polymarket execution integration or a settlement feed, and citations do not guarantee a correct synthesis. Access needs a provider key and available prepaid credits. No authenticated request was submitted in the review, and answer quality was not benchmarked. ### Who it is for - Developers building evidence-gathering workflows. - Researchers automating repeatable questions about events. ## Features and coverage - **Inspectable citations** Answers include references that can be checked against the claims. - **JSON request/response API** Integrate research into an application through the documented API workflow. - **Prepaid usage** Buy request credits rather than assuming an unlimited-query subscription. ## Workflows with FactsAI ### Gather evidence Ask a narrow factual question and read the cited primary material. ### Build an event checklist Make the research input traceable: save the answer with the dates of its citations and the contract conditions it was meant to address. Pass that context into the forecasting model together with the answer. ## Pricing and total cost The public page lists $0.012 per request. Credit packs are Starter $12 for 1,000 credits, Growth $60 for 5,000 and Scale $120 for 10,000. ### Starter $12 - 1,000 credits ### Growth $60 - 5,000 credits ### Scale $120 - 10,000 credits **Access:** An API key and available credits are required. ## Getting started **Before you start:** Citations do not guarantee that the answer synthesizes the sources correctly. 1. Read the documented request and response format. 2. Obtain a provider API key through the account workflow. 3. Start with a narrow question and inspect every material citation. API use requires a key and available credits. ## Useful links ### What to check - Citations do not guarantee that the answer synthesizes the sources correctly. - No Polymarket execution integration or settlement feed was established. - No authenticated API request was submitted during review. - Answer quality was not benchmarked; usefulness depends on question design and source checks. A closer look ## Ratings & reviews Editorial rating **3.5**/ 5 0 user reviews PredictionToolkit editorial ### Our take on FactsAI The usage-based API has a clear, inspectable citation workflow. Its value depends on question design and checking the sources; the review did not benchmark answer quality. Based on documented features, setup and access terms. [How we rate]() ### User reviews 0 The main score switches to user ratings after 5 published reviews. **Be the first to share your experience** A specific example helps the next person choose the right tool. ## Related tools [Browse category]() ![GDELT official public project homepage with data and research navigation.]() ![GDELT logo]()[GDELT]() Dataset**4.0**Editorial Structured news events and knowledge-graph data for reproducible research and media monitoring. - Access Web · Datasets · BigQuery Obtain public news-attention data for a separate research pipeline. ![Desearch Numinous case study about evidence retrieval for forecasts]() ![Desearch — forecasting research data logo]()[Desearch — forecasting research data]() Data API**3.5**Editorial Usage-priced web and social retrieval for forecasting agents, documented through a Numinous integration case study. - Access API Also in News and OSINT Research Tools. ![Mesh official data-platform presentation with a transcript research example.]() ![Mesh logo]()[Mesh]() Data API**3.5**Editorial Search event transcripts with speaker and timestamp context through a web platform and API. - Access Web · API Compare general research answers with prediction-market-specific context and rules. ## Frequently asked questions about FactsAI ### Does FactsAI trade on Polymarket? No documented execution integration was established. The service supplies research answers. ### How can it help with a market question? Contract-specific use still needs your own check of how the answer fits the exact market wording and deadline. Ask the API for the underlying facts, keeping that research step separate from the contract match. ### What does it cost? The public price is $0.012 per request: Starter $12/1,000 credits, Growth $60/5,000 and Scale $120/10,000. ### What access is needed? A provider API key and available credits. In this profile