How Morph’s scores are calculated

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

• [probe] https://docs.morphllm.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.morphllm.com/llms.txt # Morph API Documentation > https://docs.morphllm.com > Base URL: https://api.morphllm.com/v1 > OpenAI-compatible. Use a”
• [probe] https://docs.morphllm.com/introduction.md“PROBE docs-md: HTTP 200 at https://docs.morphllm.com/introduction.md > ## Documentation Index > Fetch the complete documentation index at: https://docs.morphllm.com/llms.txt > Use this file”
• [claimed-docs] https://docs.morphllm.com/introduction“Point any OpenAI SDK at `https://api.morphllm.com/v1`. One API key covers the open-weight chat models and the specialized tools”

Run the product headlessly / in CI for automationweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

• [claimed-docs] https://docs.morphllm.com/introduction“Point any OpenAI SDK at `https://api.morphllm.com/v1`. One API key covers the open-weight chat models and the specialized tools”
• [claimed-docs] https://docs.morphllm.com/sdk/components/batch.md“Run thousands of chat completions offline at half price.”
• [claimed-docs] https://docs.morphllm.com/endpoints.md“Anthropic Messages supports the same open source chat models, token billing, and rate limits.”
• [probe] https://docs.morphllm.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.morphllm.com/llms.txt # Morph API Documentation > https://docs.morphllm.com > Base URL: https://api.morphllm.com/v1 > OpenAI-compatible. Use a”

Plug MCP servers into this product so it can use their toolsweight 3

n/a — not applicable to this product: excluded from numerator and denominator

• [claimed-docs] https://docs.morphllm.com/quickstart.md“Install the Morph MCP so Claude Code can read it”
• [claimed-docs] https://docs.morphllm.com/guides/mcp.md“Connect your favorite AI tools to Morph's blazing-fast file editing via Model Context Protocol.”
• [probe] https://docs.morphllm.com/guides/mcp“official MCP server documented at https://docs.morphllm.com/guides/mcp”

Connect an agent via an official MCP serverweight 3

3 (weight) × 7 (quality) × 1.0 (full) = 21.0 of 30 max

• [claimed-docs] https://docs.morphllm.com/guides/mcp.md“Connect your favorite AI tools to Morph's blazing-fast file editing via Model Context Protocol.”
• [claimed-docs] https://docs.morphllm.com/quickstart.md“Install the Morph MCP so Claude Code can read it”
• [claimed-docs] https://docs.morphllm.com/guides/mcp.md“Use Morph's Warp-Grep for fast, local code search alongside your MCP setup.”
• [probe] https://docs.morphllm.com/guides/mcp“official MCP server documented at https://docs.morphllm.com/guides/mcp”

Use an official CLIweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Drive the product through a documented public APIweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

• [claimed-docs] https://docs.morphllm.com/introduction“Point any OpenAI SDK at `https://api.morphllm.com/v1`. One API key covers the open-weight chat models and the specialized tools”
• [claimed-docs] https://docs.morphllm.com/sdk/components/fast-apply.md“Fast Apply merges just the changed lines at 10,500 tok/s, 98% accuracy.”
• [claimed-docs] https://docs.morphllm.com/sdk/components/compact.md“Drop filler from chat history and code context at 33,000 tok/s. 50-70% reduction, every surviving line byte-for-byte identical to input.”
• [claimed-docs] https://docs.morphllm.com/sdk/components/batch.md“Run thousands of chat completions offline at half price.”
• [claimed-docs] https://docs.morphllm.com/endpoints.md“Anthropic Messages supports the same open source chat models, token billing, and rate limits.”
• [probe] https://docs.morphllm.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.morphllm.com/llms.txt # Morph API Documentation > https://docs.morphllm.com > Base URL: https://api.morphllm.com/v1 > OpenAI-compatible. Use a”
• [probe] https://docs.morphllm.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.morphllm.com/openapi.json, https://docs.morphllm.com/swagger.json, https://docs.morphllm.com/api/openapi.json, https://docs.morphllm.com/.well-known/openapi.json)”
• [github] https://github.com/morphllm/morph-demos“Use Morph's API to intelligently modify existing code at 4,500+ tokens/sec”
• [community] https://news.ycombinator.com/item?id=44490863“Have been using morph for a while (I am one of the authors of goose) and was surprised when introduced at the boost it gave me (much less iteration with the main expensive LLM). Used it with claude 3.5, 3.7, 4 and currently with o3/openai and anthropic/claude4 + morphllm combo today.”
• [community] https://news.ycombinator.com/item?id=44490863“This uses an OpenAI-compatible endpoint, so got this working with my llm.datasette.io CLI tool... One thing that worries me: since it's using XML-style tags <code> and <update>, if my own source code contains those tags I expect it may get confused.”

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

• [claimed-docs] https://docs.morphllm.com/introduction“Point any OpenAI SDK at `https://api.morphllm.com/v1`. One API key covers the open-weight chat models and the specialized tools”

Build against official SDKsweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

• [claimed-docs] https://docs.morphllm.com/introduction“Point any OpenAI SDK at `https://api.morphllm.com/v1`. One API key covers the open-weight chat models and the specialized tools”
• [claimed-docs] https://docs.morphllm.com/guides/coding-agents.md“Claude Code speaks the Anthropic Messages API, which Morph serves natively at `/v1/messages`.”
• [claimed-docs] https://docs.morphllm.com/endpoints.md“Anthropic Messages supports the same open source chat models, token billing, and rate limits.”
• [community] https://news.ycombinator.com/item?id=44490863“This uses an OpenAI-compatible endpoint, so got this working with my llm.datasette.io CLI tool... One thing that worries me: since it's using XML-style tags <code> and <update>, if my own source code contains those tags I expect it may get confused.”
• [probe] https://docs.morphllm.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.morphllm.com/openapi.json, https://docs.morphllm.com/swagger.json, https://docs.morphllm.com/api/openapi.json, https://docs.morphllm.com/.well-known/openapi.json)”

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

• [probe] https://docs.morphllm.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.morphllm.com/openapi.json, https://docs.morphllm.com/swagger.json, https://docs.morphllm.com/api/openapi.json, https://docs.morphllm.com/.well-known/openapi.json)”
• [probe] https://docs.morphllm.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.morphllm.com/llms.txt # Morph API Documentation > https://docs.morphllm.com > Base URL: https://api.morphllm.com/v1 > OpenAI-compatible. Use a”
• [probe] https://docs.morphllm.com/introduction.md“PROBE docs-md: HTTP 200 at https://docs.morphllm.com/introduction.md > ## Documentation Index > Fetch the complete documentation index at: https://docs.morphllm.com/llms.txt > Use this file”

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

• [probe] https://docs.morphllm.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.morphllm.com/openapi.json, https://docs.morphllm.com/swagger.json, https://docs.morphllm.com/api/openapi.json, https://docs.morphllm.com/.well-known/openapi.json)”

Test against a sandbox environment without touching production dataweight 1

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

• [probe] https://docs.morphllm.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.morphllm.com/openapi.json, https://docs.morphllm.com/swagger.json, https://docs.morphllm.com/api/openapi.json, https://docs.morphllm.com/.well-known/openapi.json)”
• [claimed-docs] https://docs.morphllm.com/introduction“Point any OpenAI SDK at `https://api.morphllm.com/v1`. One API key covers the open-weight chat models and the specialized tools”

Do everything through the API that I can do in the UIweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

• [claimed-docs] https://docs.morphllm.com/introduction“Point any OpenAI SDK at `https://api.morphllm.com/v1`. One API key covers the open-weight chat models and the specialized tools”
• [claimed-docs] https://docs.morphllm.com/dedicated-endpoints.md“Reserve model capacity by choosing a model and plan. Morph provisions and operates it”
• [community] https://news.ycombinator.com/item?id=44490863“Seems completely broken. I used the provided HTML example on morphllm.com playground. Without editing anything, I pressed apply. Your model added a bunch of CSS even though that wasn't in the update instructions, plus a contact section that wasn't requested.”
• [probe] https://docs.morphllm.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.morphllm.com/llms.txt # Morph API Documentation > https://docs.morphllm.com > Base URL: https://api.morphllm.com/v1 > OpenAI-compatible. Use a”

Export all of my data in open formats and leaveweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Read the product's source under an open licenseweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Self-host the core productweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

• [claimed-docs] https://docs.morphllm.com/introduction“Point any OpenAI SDK at `https://api.morphllm.com/v1`. One API key covers the open-weight chat models and the specialized tools”
• [claimed-docs] https://docs.morphllm.com/dedicated-endpoints.md“Reserve model capacity by choosing a model and plan. Morph provisions and operates it”
• [probe] https://docs.morphllm.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.morphllm.com/llms.txt # Morph API Documentation > https://docs.morphllm.com > Base URL: https://api.morphllm.com/v1 > OpenAI-compatible. Use a”
• [probe] https://docs.morphllm.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.morphllm.com/openapi.json, https://docs.morphllm.com/swagger.json, https://docs.morphllm.com/api/openapi.json, https://docs.morphllm.com/.well-known/openapi.json)”

Get AI-generated insights and suggestions from my data inside the productweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

• [claimed-docs] https://docs.morphllm.com/sdk/components/batch.md“Run thousands of chat completions offline at half price.”
• [claimed-docs] https://docs.morphllm.com/quickstart.md“Move a production agent off Anthropic or OpenAI onto Kimi K3 — a 5% traffic trial or a full migration, gated by Reflexes.”
• [claimed-docs] https://docs.morphllm.com/quickstart.md“A canary keeps your current provider, sends a slice of production traffic to Kimi K3, and compares Reflex results before you switch.”

Delegate tasks to a built-in AI assistant inside the productweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Operate the product with natural-language commandsweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Perform bulk operations across many items at onceweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

• [claimed-docs] https://docs.morphllm.com/sdk/components/batch.md“Run thousands of chat completions offline at half price.”
• [claimed-docs] https://docs.morphllm.com/sdk/components/fast-apply.md“Fast Apply merges just the changed lines at 10,500 tok/s, 98% accuracy.”
• [github] https://github.com/morphllm/morph-demos“Use Morph's API to intelligently modify existing code at 4,500+ tokens/sec”

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max

• [claimed-docs] https://docs.morphllm.com/quickstart.md“Move a production agent off Anthropic or OpenAI onto Kimi K3 — a 5% traffic trial or a full migration, gated by Reflexes.”
• [claimed-docs] https://docs.morphllm.com/quickstart.md“A canary keeps your current provider, sends a slice of production traffic to Kimi K3, and compares Reflex results before you switch.”
• [claimed-docs] https://docs.morphllm.com/sdk/components/reflexes/custom.md“A small Reflex trains in about 30 seconds.”

Schedule recurring jobs or workflowsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Version, review, and roll back my automationsweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh