How Datalab’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 Score30/100
Agent-ready 50.0 × 0.30 = 15.00
API quality 12.0 × 0.20 = 2.40
Openness 41.8 × 0.20 = 8.36
Built-in AI 12.0 × 0.15 = 1.80
Automation 18.8 × 0.15 = 2.82
(15.00 + 2.40 + 8.36 + 1.80 + 2.82) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 30.38 ÷ 1.00 = 30.4
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-ready50.0/100×0.30 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://documentation.datalab.to/llms.txt“PROBE llms.txt: HTTP 200 at https://documentation.datalab.to/llms.txt # Datalab Documentation - [Welcome to Datalab](https://documentation.datalab.to/index.md): Datalab provides document in”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks.md“You can override the default webhook URL for specific API requests by including the `webhook_url` parameter”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/form-filling.md“Fill PDF and image forms with structured field data using the Datalab SDK.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/file-management.md“Datalab provides file storage for documents you want to process with pipelines or reuse across multiple API calls.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/pipelines.md“Pipelines chain processors (convert, extract, segment, custom) into reusable, versioned configurations.”
- [claimed-docs] https://documentation.datalab.to/api-reference/create-document.md“Create a DOCX document from markdown with track changes support. Supports <ins>, <del>, and <comment> tags.”
- [claimed-docs] https://documentation.datalab.to/api-reference/run-document-agent.md“Run a published agent processor on a document. Address it with processor=<id>, optionally pinned to a version as <id>@<version>”
- [claimed-docs] https://documentation.datalab.to/api-reference/generate-extraction-schemas.md“For a given file, generate potential extraction schemas.”
- [claimed-docs] https://documentation.datalab.to/api-reference/api-health.md“This endpoint is used to check the health of the API, given an API key.”
Run the product headlessly / in CI for automationweight 2
2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/cli“Use the Datalab CLI to convert documents from the command line.”
- [probe] https://documentation.datalab.to/docs/welcome/sdk/cli“official CLI documented at https://documentation.datalab.to/docs/welcome/sdk/cli”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk“The Datalab Python SDK provides a simple interface for document conversion, pipelines, structured extraction, form filling, and file management.”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“Webhooks provide real-time notifications when your document processing jobs complete, eliminating the need for continuous polling.”
- [claimed-docs] https://documentation.datalab.to/api-reference/api-health.md“This endpoint is used to check the health of the API, given an API key.”
- [claimed-docs] https://documentation.datalab.to/api-reference/convert-document“Convert a PDF, image, or document to markdown, HTML, JSON, or chunks.”
Plug MCP servers into this product so it can use their toolsweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk“The Datalab Python SDK provides a simple interface for document conversion, pipelines, structured extraction, form filling, and file management.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/cli“Use the Datalab CLI to convert documents from the command line.”
- [probe] https://documentation.datalab.to/openapi.json“PROBE openapi: all candidate paths 404 (https://documentation.datalab.to/openapi.json, https://documentation.datalab.to/swagger.json, https://documentation.datalab.to/api/openapi.json, https://documentation.datalab.to/.well-known/openapi.json)”
- [probe] https://documentation.datalab.to/docs/welcome/sdk/cli“official CLI documented at https://documentation.datalab.to/docs/welcome/sdk/cli”
Connect an agent via an official MCP serverweight 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
Use an official CLIweight 2
2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/cli“Use the Datalab CLI to convert documents from the command line.”
- [probe] https://documentation.datalab.to/docs/welcome/sdk/cli“official CLI documented at https://documentation.datalab.to/docs/welcome/sdk/cli”
Drive the product through a documented public APIweight 3
3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk“The Datalab Python SDK provides a simple interface for document conversion, pipelines, structured extraction, form filling, and file management.”
- [claimed-docs] https://documentation.datalab.to/api-reference/convert-document“Convert a PDF, image, or document to markdown, HTML, JSON, or chunks.”
- [claimed-docs] https://documentation.datalab.to/api-reference/extract-structured-data“Extract structured data from a document using a JSON schema.”
- [claimed-docs] https://documentation.datalab.to/api-reference/segment-document“Segment a document into sections using a schema. Returns page ranges for each identified segment.”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“Configure webhooks to receive real-time notifications when Datalab jobs complete.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/cli“Use the Datalab CLI to convert documents from the command line.”
- [probe] https://documentation.datalab.to/llms.txt“PROBE llms.txt: HTTP 200 at https://documentation.datalab.to/llms.txt # Datalab Documentation - [Welcome to Datalab](https://documentation.datalab.to/index.md): Datalab provides document in”
- [probe] https://documentation.datalab.to/openapi.json“PROBE openapi: all candidate paths 404 (https://documentation.datalab.to/openapi.json, https://documentation.datalab.to/swagger.json, https://documentation.datalab.to/api/openapi.json, https://documentation.datalab.to/.well-known/openapi.json)”
- [probe] https://documentation.datalab.to/docs/welcome/sdk/cli“official CLI documented at https://documentation.datalab.to/docs/welcome/sdk/cli”
Issue scoped/least-privilege API credentials for an agentweight 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
Build against official SDKsweight 2
2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk“The Datalab Python SDK provides a simple interface for document conversion, pipelines, structured extraction, form filling, and file management.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/cli“Use the Datalab CLI to convert documents from the command line.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/pipelines.md“Pipelines chain processors (convert, extract, segment, custom) into reusable, versioned configurations.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/file-management.md“Datalab provides file storage for documents you want to process with pipelines or reuse across multiple API calls.”
- [probe] https://documentation.datalab.to/docs/welcome/sdk/cli“official CLI documented at https://documentation.datalab.to/docs/welcome/sdk/cli”
- [probe] https://documentation.datalab.to/openapi.json“PROBE openapi: all candidate paths 404 (https://documentation.datalab.to/openapi.json, https://documentation.datalab.to/swagger.json, https://documentation.datalab.to/api/openapi.json, https://documentation.datalab.to/.well-known/openapi.json)”
Subscribe to events via webhooksweight 2
2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“Webhooks provide real-time notifications when your document processing jobs complete, eliminating the need for continuous polling.”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“You can override the default webhook URL for specific API requests by including the webhook_url parameter”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“Configure webhooks to receive real-time notifications when Datalab jobs complete.”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks.md“You can override the default webhook URL for specific API requests by including the `webhook_url` parameter”
Agent-ready = 105.0 ÷ 210 × 100 = 50.0
API quality12.0/100×0.20 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) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/api-reference/convert-document“Convert a PDF, image, or document to markdown, HTML, JSON, or chunks.”
- [claimed-docs] https://documentation.datalab.to/api-reference/extract-structured-data“Extract structured data from a document using a JSON schema.”
- [claimed-docs] https://documentation.datalab.to/api-reference/segment-document“Segment a document into sections using a schema. Returns page ranges for each identified segment.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“Want to try before writing code? Upload a document to Forge to see results instantly — no API key required.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“Upload a document to Forge to see results instantly — no API key required.”
- [probe] https://documentation.datalab.to/openapi.json“PROBE openapi: all candidate paths 404 (https://documentation.datalab.to/openapi.json, https://documentation.datalab.to/swagger.json, https://documentation.datalab.to/api/openapi.json, https://documentation.datalab.to/.well-known/openapi.json)”
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://documentation.datalab.to/openapi.json“PROBE openapi: all candidate paths 404 (https://documentation.datalab.to/openapi.json, https://documentation.datalab.to/swagger.json, https://documentation.datalab.to/api/openapi.json, https://documentation.datalab.to/.well-known/openapi.json)”
- [probe] https://documentation.datalab.to/llms.txt“PROBE llms.txt: HTTP 200 at https://documentation.datalab.to/llms.txt # Datalab Documentation - [Welcome to Datalab](https://documentation.datalab.to/index.md): Datalab provides document in”
Test against a sandbox environment without touching production dataweight 1
1 (weight) × 4 (quality) × 0.6 (partial) = 2.4 of 10 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“Want to try before writing code? Upload a document to Forge to see results instantly — no API key required.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“new accounts include a **free monthly usage allowance** (no credit card required), enough to run a full proof of concept on your own documents”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“Upload a document to Forge to see results instantly — no API key required.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“new accounts include a **free monthly usage allowance** (no credit card required)”
- [claimed-docs] https://documentation.datalab.to/platform/changelog“In-app playground renamed from “Forge Playground” to **Forge** (`/app/playground`).”
Rely on versioned APIs with a documented deprecation policyweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/api-reference/run-document-agent.md“Run a published agent processor on a document. Address it with processor=<id>, optionally pinned to a version as <id>@<version>”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/pipelines.md“Pipelines chain processors (convert, extract, segment, custom) into reusable, versioned configurations.”
- [claimed-docs] https://documentation.datalab.to/platform/changelog“Track Changes is now available in the Playground — upload a DOCX, PDF, or image file to preview tracked changes extraction results directly in the UI.”
- [claimed-docs] https://documentation.datalab.to/platform/changelog“In-app playground renamed from “Forge Playground” to **Forge** (`/app/playground`).”
- [probe] https://documentation.datalab.to/openapi.json“PROBE openapi: all candidate paths 404 (https://documentation.datalab.to/openapi.json, https://documentation.datalab.to/swagger.json, https://documentation.datalab.to/api/openapi.json, https://documentation.datalab.to/.well-known/openapi.json)”
API quality = 8.4 ÷ 70 × 100 = 12.0
Openness41.8/100×0.20 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) × 8 (quality) × 1.0 (full) = 16.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“Want to try before writing code? Upload a document to Forge to see results instantly — no API key required.”
- [claimed-docs] https://documentation.datalab.to/platform/changelog“Track Changes is now available in the Playground — upload a DOCX, PDF, or image file to preview tracked changes extraction results directly in the UI.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk“The Datalab Python SDK provides a simple interface for document conversion, pipelines, structured extraction, form filling, and file management.”
- [claimed-docs] https://documentation.datalab.to/api-reference/convert-document“Convert a PDF, image, or document to markdown, HTML, JSON, or chunks.”
- [claimed-docs] https://documentation.datalab.to/api-reference/extract-structured-data“Extract structured data from a document using a JSON schema.”
- [claimed-docs] https://documentation.datalab.to/api-reference/segment-document“Segment a document into sections using a schema. Returns page ranges for each identified segment.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/pipelines.md“Pipelines chain processors (convert, extract, segment, custom) into reusable, versioned configurations.”
- [claimed-docs] https://documentation.datalab.to/api-reference/create-document.md“Create a DOCX document from markdown with track changes support. Supports <ins>, <del>, and <comment> tags.”
- [claimed-docs] https://documentation.datalab.to/api-reference/run-document-agent.md“Run a published agent processor on a document. Address it with processor=<id>, optionally pinned to a version as <id>@<version>”
- [probe] https://documentation.datalab.to/openapi.json“PROBE openapi: all candidate paths 404 (https://documentation.datalab.to/openapi.json, https://documentation.datalab.to/swagger.json, https://documentation.datalab.to/api/openapi.json, https://documentation.datalab.to/.well-known/openapi.json)”
Export all of my data in open formats and leaveweight 3
3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“Get started with Datalab to convert PDFs, images, and documents into Markdown, HTML, or JSON in minutes.”
- [claimed-docs] https://documentation.datalab.to“Parse PDFs, Word docs, and spreadsheets into Markdown, HTML, or JSON”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/quickstart“The SDK provides a simple interface to convert documents to Markdown, HTML, JSON, or chunks.”
- [claimed-docs] https://documentation.datalab.to/api-reference/convert-document“Convert a PDF, image, or document to markdown, HTML, JSON, or chunks.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/file-management.md“Datalab provides file storage for documents you want to process with pipelines or reuse across multiple API calls.”
- [claimed-docs] https://documentation.datalab.to/docs/on-prem/overview“On-prem overview: "Customers can run our models on infrastructure they control with an Enterprise contract." The paid on-prem options target teams that "Require data privacy/operate in highly-regulated environments", need "Extremely high volume", or "Model training or customization" — while Chandra, Marker, and Surya remain free open source.”
Read the product's source under an open licenseweight 2
2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/docs/on-prem/overview“On-prem overview: "Customers can run our models on infrastructure they control with an Enterprise contract." The paid on-prem options target teams that "Require data privacy/operate in highly-regulated environments", need "Extremely high volume", or "Model training or customization" — while Chandra, Marker, and Surya remain free open source.”
Self-host the core productweight 3
3 (weight) × 5 (quality) × 0.6 (partial) = 9.0 of 30 max
- [claimed-docs] https://documentation.datalab.to/docs/on-prem/overview“Customers can run our models on infrastructure they control with an Enterprise contract.”
- [claimed-docs] https://documentation.datalab.to/docs/on-prem/overview“On-prem overview: "Customers can run our models on infrastructure they control with an Enterprise contract." The paid on-prem options target teams that "Require data privacy/operate in highly-regulated environments", need "Extremely high volume", or "Model training or customization" — while Chandra, Marker, and Surya remain free open source.”
- [claimed-docs] https://www.datalab.to/pricing“Pricing page: the Team plan ($400/mo) lists "BAA / DPA" as included, alongside 400 req/min rate limits; Enterprise adds running on your own infrastructure (air-gapped) with SSO.”
- [claimed-docs] https://documentation.datalab.to/docs/on-prem/running-the-container“A Helm chart is available for deploying the container on Kubernetes clusters.”
- [claimed-docs] https://documentation.datalab.to/platform/changelog“New surya-us on-premises container type — a lightweight Chandra-compatible container”
Openness = 41.8 ÷ 100 × 100 = 41.8
Built-in AI12.0/100×0.15 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) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max
- [claimed-docs] https://documentation.datalab.to/api-reference/run-document-agent.md“Run a published agent processor on a document. Address it with processor=<id>, optionally pinned to a version as <id>@<version>”
- [claimed-docs] https://documentation.datalab.to/api-reference/generate-extraction-schemas.md“For a given file, generate potential extraction schemas.”
Set up automations that run autonomously in the backgroundweight 2
2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“Webhooks provide real-time notifications when your document processing jobs complete, eliminating the need for continuous polling.”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“You can override the default webhook URL for specific API requests by including the webhook_url parameter”
- [claimed-docs] https://documentation.datalab.to“Pipelines — Chain processors into versioned, reusable configurations and deploy to production”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/pipelines.md“Pipelines chain processors (convert, extract, segment, custom) into reusable, versioned configurations.”
- [claimed-docs] https://documentation.datalab.to/api-reference/run-document-agent.md“Run a published agent processor on a document. Address it with processor=<id>, optionally pinned to a version as <id>@<version>”
Delegate tasks to a built-in AI assistant inside the productweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
- [claimed-docs] https://documentation.datalab.to/api-reference/run-document-agent.md“Run a published agent processor on a document. Address it with processor=<id>, optionally pinned to a version as <id>@<version>”
Operate the product with natural-language commandsweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk“The Datalab Python SDK provides a simple interface for document conversion, pipelines, structured extraction, form filling, and file management.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/cli“Use the Datalab CLI to convert documents from the command line.”
- [probe] https://documentation.datalab.to/docs/welcome/sdk/cli“official CLI documented at https://documentation.datalab.to/docs/welcome/sdk/cli”
- [claimed-docs] https://documentation.datalab.to/api-reference/run-document-agent.md“Run a published agent processor on a document. Address it with processor=<id>, optionally pinned to a version as <id>@<version>”
Built-in AI = 10.8 ÷ 90 × 100 = 12.0
Automation18.8/100×0.15 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://documentation.datalab.to/docs/welcome/sdk“The Datalab Python SDK provides a simple interface for document conversion, pipelines, structured extraction, form filling, and file management.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/cli“Use the Datalab CLI to convert documents from the command line.”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“Webhooks provide real-time notifications when your document processing jobs complete, eliminating the need for continuous polling.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/file-management.md“Datalab provides file storage for documents you want to process with pipelines or reuse across multiple API calls.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/pipelines.md“Pipelines chain processors (convert, extract, segment, custom) into reusable, versioned configurations.”
- [claimed-docs] https://documentation.datalab.to/api-reference/convert-document“Convert a PDF, image, or document to markdown, HTML, JSON, or chunks.”
Define rules that trigger actions automatically on eventsweight 3
3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“Webhooks provide real-time notifications when your document processing jobs complete, eliminating the need for continuous polling.”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“You can override the default webhook URL for specific API requests by including the webhook_url parameter”
- [claimed-docs] https://documentation.datalab.to/platform/webhooks“Configure webhooks to receive real-time notifications when Datalab jobs complete.”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/pipelines.md“Pipelines chain processors (convert, extract, segment, custom) into reusable, versioned configurations.”
- [claimed-docs] https://documentation.datalab.to“Chain processors into versioned, reusable configurations and deploy to production”
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) × 3 (quality) × 0.6 (partial) = 1.8 of 10 max
- [claimed-docs] https://documentation.datalab.to“Pipelines — Chain processors into versioned, reusable configurations and deploy to production”
- [claimed-docs] https://documentation.datalab.to“Chain processors into versioned, reusable configurations and deploy to production”
- [claimed-docs] https://documentation.datalab.to/docs/welcome/sdk/pipelines.md“Pipelines chain processors (convert, extract, segment, custom) into reusable, versioned configurations.”
- [claimed-docs] https://documentation.datalab.to/api-reference/run-document-agent.md“Run a published agent processor on a document. Address it with processor=<id>, optionally pinned to a version as <id>@<version>”
Automation = 15.0 ÷ 80 × 100 = 18.8