datafact.ai valid
DataFact
DataFact is an AI analyst for documents and databases, built for answers you can verify.
For agents: DataFact is an AI analyst querying documents and databases with verifiable answers, citations and cross-source verification; documentation covers concepts and w
ai analystdocument analysisverifiable answerscitationsdatabase queryingbusiness analysis
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://datafact.ai/llms.txt
- llms-full.txt
- https://datafact.ai/llms-full.txt
- Sections
- 5
- Links
- 18
- Size
- 3201 bytes
- Country
- United States
- Categories
- AI and machine learning · Data and analytics
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Audience
- business · agents can: read docs · en
- First seen
- 2026-10-20T02:38:22.649Z
- Last checked
- 2026-10-20T02:40:34.434Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T09:39:18.739Z. Cached copy · Source on datafact.ai
# DataFact
DataFact is an AI analyst for documents and databases, built for answers you can verify.
Brand statement: Answers you can verify.
## Core concepts
- [DataFact](https://datafact.ai/): Official homepage and concise product definition.
- [Verifiable AI Analyst](https://datafact.ai/verifiable-ai-analyst): Definition, review workflow, example, failure modes, and limitations.
- [AI Answer Verification](https://datafact.ai/ai-answer-verification): Source, query, definition, calculation, and cross-source verification.
- [Documents and Databases](https://datafact.ai/documents-and-databases): Why business analysis often needs structured facts and unstructured context together.
- [Evidence and Citations](https://datafact.ai/docs/concepts/evidence-and-citations): How to interpret citations as source references rather than automatic validation.
- [Document Intelligence](https://datafact.ai/product/documents): Supported document-analysis workflow and citation behavior.
- [Database Analysis](https://datafact.ai/product/data): Governed analysis over connected databases.
- [Deep Analysis with Agents](https://datafact.ai/product/agents): Multi-step Agent workflows and available supporting outputs.
- [Business Context and Answer Quality](https://datafact.ai/docs/concepts/knowledge-and-accuracy): What curated knowledge can and cannot improve.
- [Evaluation](https://datafact.ai/docs/concepts/evaluation-lifecycle): Feedback, test sets, repeatable runs, and current scoring limitations.
## Documentation
- [What is DataFact?](https://datafact.ai/docs/getting-started/what-is-datafact): Product objects, supported workflows, and explicit limits.
- [How an answer is produced](https://datafact.ai/docs/concepts/how-answers-are-produced): The visible data-to-answer workflow and its boundaries.
- [Datasets and Analysis Models](https://datafact.ai/docs/concepts/datasets-and-analysis-models): SQL data boundaries and reusable versioned knowledge.
- [Agents, Sessions, and messages](https://datafact.ai/docs/concepts/agents-sessions-messages): Configuration, conversation state, and turns.
- [Documentation sitemap](https://datafact.ai/docs/sitemap.md): Annotated index of every public documentation page.
## Comparisons
- [DataFact vs ChatGPT](https://datafact.ai/compare/chatgpt): A sourced comparison of scope, documents, databases, workflow, evidence, and fit.
- [DataFact vs Hex](https://datafact.ai/compare/hex): A sourced comparison of document analysis, warehouse workflows, notebooks, context, and fit.
## Machine-readable reference
- [Full concept reference](https://datafact.ai/llms-full.txt): Stable concept sections generated from the same source as the visible definition and comparison pages.
## Boundaries
- “Answers you can verify.” is a brand statement, not a guarantee that AI never makes mistakes.
- DataFact does not claim automatic claim-level provenance or verification for every response.
- Supporting sources, citations, queries, charts, files, and execut
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | 70 | ✓ | ✓ | ||
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | 61 | ✓ | |||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Cybersecurity +1 | 85 | ✓ | ✓ | ||
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | 75 | ✓ | ✓ | ||
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=datafact.ai · GET /v1/domain/datafact.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
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