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How Orama’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score27/100

Agent-ready 41.1 × 0.30 = 12.33

API quality 0.0 × 0.20 = 0.00

Openness 41.0 × 0.20 = 8.20

Built-in AI 32.9 × 0.15 = 4.93

Automation 8.6 × 0.15 = 1.29

(12.33 + 0.00 + 8.20 + 4.93 + 1.29) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 26.75 ÷ 1.00 = 26.8

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready41.1/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

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

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [probe] https://docs.orama.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.orama.com/llms.txt # Docs ## cloud - [Introduction to Orama Cloud](/docs/cloud): Run Orama at scale. Managed. - [MCP Server](/docs/cloud/”
  • [claimed-docs] https://docs.orama.com/llms-full.txt“A data source identifies a specific set of documents, ideally coming from a single origin.”
  • [claimed-docs] https://docs.orama.com/llms-full.txt“you can put data that will be updated frequently in a single data source (let's call it `docs`), and put data that follows a different update schedule in another data source”
  • [claimed-docs] https://docs.orama.com/llms-full.txt“A project is a set of **data sources** that you want to use for RAG, search, or any other method of retrieval.”

Run the product headlessly / in CI for automationweight 2

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

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx“insertion in Orama is quick and intuitive”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/create.mdx“We can create a new instance (from now on database) with an **indexing `schema`**.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx“Orama Cloud officially supports the following SDKs: - JavaScript/TypeScript - Python - Rust”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx“If you have a lot of records, we suggest using the `insertMultiple` function”
  • [claimed-docs] https://orama.com/pricing“The open-source search library. Add fast, relevant search to your own application at no cost.”

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://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“Every Orama Cloud project comes with an MCP server that is automatically configured to interact with your project's data.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other.”
  • [probe] https://docs.orama.com/docs/cloud/mcp-server“official MCP server documented at https://docs.orama.com/docs/cloud/mcp-server”

Connect an agent via an official MCP serverweight 3

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

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“Every Orama Cloud project comes with an MCP server that is automatically configured to interact with your project's data.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other.”
  • [probe] https://docs.orama.com/docs/cloud/mcp-server“official MCP server documented at https://docs.orama.com/docs/cloud/mcp-server”

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) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“Every Orama Cloud project comes with an MCP server that is automatically configured to interact with your project's data.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx“Orama Cloud officially supports the following SDKs: - JavaScript/TypeScript - Python - Rust”
  • [probe] https://docs.orama.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.orama.com/llms.txt # Docs ## cloud - [Introduction to Orama Cloud](/docs/cloud): Run Orama at scale. Managed. - [MCP Server](/docs/cloud/”
  • [probe] https://docs.orama.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.orama.com/openapi.json, https://docs.orama.com/swagger.json, https://docs.orama.com/api/openapi.json, https://docs.orama.com/.well-known/openapi.json)”
  • [probe] https://docs.orama.com/docs/cloud/mcp-server“official MCP server documented at https://docs.orama.com/docs/cloud/mcp-server”

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://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“AnswerSession** that allows you to perform ChatGPT-like experiences on your website. It uses a free feature from Orama Cloud called **Secure Proxy** to proxy your queries to the OpenAI API, so you don't need to worry about sharing the API key on the client-side.”

Build against official SDKsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx“Orama Cloud officially supports the following SDKs: - JavaScript/TypeScript - Python - Rust”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“The APIs are designed to be as close as possible to the **Orama Cloud** APIs, so you can easily migrate your projects from **Orama Cloud** to **Orama Open Source** and vice-versa.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“Every Orama Cloud project comes with an MCP server that is automatically configured to interact with your project's data.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other”
  • [probe] https://docs.orama.com/docs/cloud/mcp-server“official MCP server documented at https://docs.orama.com/docs/cloud/mcp-server”

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

Agent-ready = 74.0 ÷ 180 × 100 = 41.1

API quality0.0/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

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

  • [probe] https://docs.orama.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.orama.com/openapi.json, https://docs.orama.com/swagger.json, https://docs.orama.com/api/openapi.json, https://docs.orama.com/.well-known/openapi.json)”
  • [claimed-docs] https://docs.orama.com/llms-full.txt“A data source identifies a specific set of documents, ideally coming from a single origin.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx“Orama Cloud officially supports the following SDKs: - JavaScript/TypeScript - Python - Rust”

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.orama.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.orama.com/openapi.json, https://docs.orama.com/swagger.json, https://docs.orama.com/api/openapi.json, https://docs.orama.com/.well-known/openapi.json)”
  • [probe] https://docs.orama.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.orama.com/llms.txt # Docs ## cloud - [Introduction to Orama Cloud](/docs/cloud): Run Orama at scale. Managed. - [MCP Server](/docs/cloud/”

Test against a sandbox environment without touching production dataweight 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

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.orama.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.orama.com/openapi.json, https://docs.orama.com/swagger.json, https://docs.orama.com/api/openapi.json, https://docs.orama.com/.well-known/openapi.json)”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/create.mdx“Since version `1.2.0`, Orama supports vector search.”

API quality = 0.0 ÷ 70 × 100 = 0.0

Openness41.0/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

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

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“The APIs are designed to be as close as possible to the **Orama Cloud** APIs, so you can easily migrate your projects from **Orama Cloud** to **Orama Open Source** and vice-versa.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“Every Orama Cloud project comes with an MCP server that is automatically configured to interact with your project's data.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx“Orama Cloud officially supports the following SDKs: - JavaScript/TypeScript - Python - Rust”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“so you can easily migrate your projects from **Orama Cloud** to **Orama Open Source** and vice-versa”
  • [probe] https://docs.orama.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.orama.com/openapi.json, https://docs.orama.com/swagger.json, https://docs.orama.com/api/openapi.json, https://docs.orama.com/.well-known/openapi.json)”
  • [probe] https://docs.orama.com/docs/cloud/mcp-server“official MCP server documented at https://docs.orama.com/docs/cloud/mcp-server”

Export all of my data in open formats and leaveweight 3

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

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“The APIs are designed to be as close as possible to the **Orama Cloud** APIs, so you can easily migrate your projects from **Orama Cloud** to **Orama Open Source** and vice-versa.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“so you can easily migrate your projects from **Orama Cloud** to **Orama Open Source** and vice-versa”

Read the product's source under an open licenseweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://orama.com/pricing“The open-source search library. Add fast, relevant search to your own application at no cost.”
  • [github] https://github.com/oramasearch/orama“Stemming and tokenization in 30 languages”
  • [github] https://github.com/oramasearch/orama“Full-Text search... Vector Search... Hybrid Search... Search Filters... Geosearch... Pinning Rules (Merchandising)... Facets... Typo Tolerance”

Self-host the core productweight 3

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

  • [claimed-docs] https://orama.com/pricing“The open-source search library. Add fast, relevant search to your own application at no cost.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/what-is-orama-cloud.mdx“We offer on-premise support for Orama Cloud, allowing you to deploy the context server on your own infrastructure.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“The APIs are designed to be as close as possible to the **Orama Cloud** APIs, so you can easily migrate your projects from **Orama Cloud** to **Orama Open Source** and vice-versa.”

Openness = 41.0 ÷ 100 × 100 = 41.0

Built-in AI32.9/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

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

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://orama.com“turns a question into a straight answer with the sources behind it”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“AnswerSession** that allows you to perform ChatGPT-like experiences on your website. It uses a free feature from Orama Cloud called **Secure Proxy** to proxy your queries to the OpenAI API, so you don't need to worry about sharing the API key on the client-side.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“AnswerSession** that allows you to perform ChatGPT-like experiences on your website.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“we introduced a new feature called **AnswerSession** that allows you to perform ChatGPT-like experiences on your website.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“With Orama 3.0, we introduced a new feature called AnswerSession that allows you to perform ChatGPT-like experiences on your website.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx“Full-text search - Vector search - Hybrid search - AI-powered NLP search”
  • [claimed-docs] https://docs.orama.com/llms-full.txt“A project is a set of **data sources** that you want to use for RAG, search, or any other method of retrieval.”
  • [claimed-docs] https://docs.orama.com/llms-full.txt“A project is a set of data sources that you want to use for RAG, search, or any other method of retrieval.”

Set up automations that run autonomously in the backgroundweight 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

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

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

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“allows you to perform ChatGPT-like experiences on your website”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“AnswerSession** that allows you to perform ChatGPT-like experiences on your website. It uses a free feature from Orama Cloud called **Secure Proxy** to proxy your queries to the OpenAI API, so you don't need to worry about sharing the API key on the client-side.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“AnswerSession** that allows you to perform ChatGPT-like experiences on your website.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“we introduced a new feature called **AnswerSession** that allows you to perform ChatGPT-like experiences on your website.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“With Orama 3.0, we introduced a new feature called AnswerSession that allows you to perform ChatGPT-like experiences on your website.”
  • [claimed-docs] https://orama.com“turns a question into a straight answer with the sources behind it”

Operate the product with natural-language commandsweight 2

2 (weight) × 7 (quality) × 0.6 (partial) = 8.4 of 20 max

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“allows you to perform ChatGPT-like experiences on your website”
  • [claimed-docs] https://orama.com“turns a question into a straight answer with the sources behind it”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“AnswerSession** that allows you to perform ChatGPT-like experiences on your website. It uses a free feature from Orama Cloud called **Secure Proxy** to proxy your queries to the OpenAI API, so you don't need to worry about sharing the API key on the client-side.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“we introduced a new feature called **AnswerSession** that allows you to perform ChatGPT-like experiences on your website.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx“With Orama 3.0, we introduced a new feature called AnswerSession that allows you to perform ChatGPT-like experiences on your website.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“Every Orama Cloud project comes with an MCP server that is automatically configured to interact with your project's data.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx“you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other.”
  • [probe] https://docs.orama.com/docs/cloud/mcp-server“official MCP server documented at https://docs.orama.com/docs/cloud/mcp-server”

Built-in AI = 29.6 ÷ 90 × 100 = 32.9

Automation8.6/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx“Inserting a large number of documents in a loop could potentially block the event loop. Instead `insertMultiple` handles this case better.”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx“If you have a lot of records, we suggest using the `insertMultiple` function”
  • [claimed-docs] https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx“Instead insertMultiple handles this case better.”

Define rules that trigger actions automatically on eventsweight 3

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

  • [github] https://github.com/oramasearch/orama“Pinning Rules (Merchandising)”
  • [github] https://github.com/oramasearch/orama“Full-Text search... Vector Search... Hybrid Search... Search Filters... Geosearch... Pinning Rules (Merchandising)... Facets... Typo Tolerance”

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

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

Automation = 6.0 ÷ 70 × 100 = 8.6