Fact sheet · AI search visibility
ModelRefs
The AI Reference Layer for Implementation Decisions
A reference system that helps builders understand and choose AI models, providers, benchmarks, and workflows with evidence, constraints, and methodology
Overview
ModelRefs is a structured reference system for AI implementation decisions. It organizes information about AI models, providers, benchmarks, and workflows into reference profiles connected by a knowledge graph, making it easier for builders, teams, and decision-makers to compare options with explicit evidence and methodology context.
The platform helps users move from discovery to better-framed implementation decisions by surfacing the relationships and trade-offs behind choices. Reference profiles organize core facts and implementation context, while status and methodology cues make evidence gaps visible. Every benchmark score includes its source, publisher, claim scope, and methodology limitations so that evidence is never presented without the conditions under which it holds.
ModelRefs serves developers evaluating technical trade-offs, AI builders connecting models and workflows, product teams translating requirements into AI decisions, researchers inspecting structured references, technical decision-makers comparing options, and governance teams reviewing status and risk. The Evidence API provides programmatic access to the same governed evidence as JSON for integration into applications and workflows.
Feature facts
- Evidence API with citations and governed benchmark runs
- Knowledge Graph connecting models, providers, benchmarks and workflows
- Rate limiting and monthly API allowances
- MCP server for agent integration
- Bearer token authentication
- Reference profiles and implementation context
- Status and methodology visibility for evidence gaps
Pricing
Pricing model: Freemium
Free tier: 1,000 API calls per month. Starter: $19/month. Pro: $49/month. Business: $199/month. Builder: $19/month with 1,000 task executions. Scale: $49/month with 5,000 task executions.
Follow ModelRefs: their milestones, new launches and awards come to you by email, once a day by default.
ModelRefs specifications
| Section | AI search visibility |
|---|---|
| Origin | United States |
| Website | modelrefs.com |
| Makers | Walter Momanyi (Founder) |
| Votes2 | 0 |
ModelRefs metrics
| Metric | Value |
|---|---|
| Domain Rating | 1 no change since last check |
| Trust Flow | 2 no change since last check |
| Citation Flow | 17 no change since last check |
| Referring domains | 11 no change since last check |
| External backlinks | 16 no change since last check |
Fact: Ahrefs Domain Rating checked 11 Nov 2026, fact changed 11 Nov 2026. Fact: top topic Computers/Programming/Languages (2). Fact: Majestic checked 11 Nov 2026, fact changed 11 Nov 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
ModelRefs domain fact sheet
Open the fact sheet
| Domain age | 10 months |
|---|---|
| Registered | |
| Expires | |
| Registrar | Cloudflare, Inc. |
| DNSSEC | Not signed |
ModelRefs launch receipt sheet
What we have measured for ModelRefs since it went live on SaaS Directory Info on 11 November 2026.
- 1 Domain Rating (Ahrefs)
first measured 11 Nov 2026 - 2 Trust Flow (Majestic)
first measured 11 Nov 2026 - 11 Referring domains (Majestic)
first measured 11 Nov 2026
Day 0 since launch. Next receipt: day 30, 11 Dec 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.
Got a launch coming up?
Step-by-step tips for before, during and after your launch, free to read on SaaS Directory Info.
- Prepare
- Launch day
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Frequently looked up
- Q1Is ModelRefs free to use?
- Yes, all tutorials, examples, and model references are completely free. The platform's model pages, comparisons, benchmarks, and decision helper require no account. The Evidence API is the paid product offering programmatic access to the same governed evidence as JSON.
- Q2Can I contribute content to ModelRefs?
- Yes, ModelRefs welcomes community contributions. You can email contribute@modelrefs.com to learn more about their contributor program.
- Q3Do you offer enterprise solutions?
- Yes, ModelRefs offers custom enterprise solutions including private instances, custom content, and dedicated support. Contact enterprise@modelrefs.com for more information.
- Q4What makes a benchmark score trustworthy on ModelRefs?
- Each benchmark score on ModelRefs includes its source, publisher, claim scope, and methodology limitations. This means a score never travels without the conditions under which it holds, ensuring evidence cannot be presented without proper context.
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ModelRefs has a free listing. The owner can unlock the full profile with a paid launch for $5:
- Founder story (locked)
- Milestones (locked)
- Demo video (locked)
- Dofollow website link (locked)
See also
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