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How Navan’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 Score25/100

Agent-ready 38.9 × 0.30 = 11.67

API quality 0.0 × 0.20 = 0.00

Openness 12.0 × 0.20 = 2.40

Built-in AI 56.7 × 0.15 = 8.51

Automation 15.0 × 0.15 = 2.25

(11.67 + 0.00 + 2.40 + 8.51 + 2.25) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 24.83 ÷ 1.00 = 24.8

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-ready38.9/100×0.30 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) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://developer.navan.com/llms.txtPROBE llms.txt: HTTP 200 at https://developer.navan.com/llms.txt # Navan Developer Portal > Connect AI assistants to Navan travel and expense data via the Model Context Protocol (MCP),
  • [claimed-docs] https://developer.navan.comConnect AI assistants — Claude, Cursor, ChatGPT, Codex, OpenClaw — to Navan data using the Model Context Protocol.
  • [claimed-docs] https://developer.navan.com/mcp/The Navan MCP lets you connect Navan to your favorite AI products, so you can query Navan spend and travel data using natural language.
  • [probe] https://developer.navan.com/mcp/official MCP server documented at https://developer.navan.com/mcp/

Run the product headlessly / in CI for automationweight 2

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

  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.
  • [claimed-docs] https://developer.navan.com/api/Retrieve and update Navan card transactions, Connect card transactions, manual expenses, payroll, repayments, fees, adjustments, daily rebates, and disputes — all from a single API.
  • [claimed-docs] https://developer.navan.com/api/Discover company fields, batch-manage option values, and poll async job status.

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://developer.navan.comConnect AI assistants — Claude, Cursor, ChatGPT, Codex, OpenClaw — to Navan data using the Model Context Protocol.
  • [claimed-docs] https://developer.navan.com/mcp/The Navan MCP lets you connect Navan to your favorite AI products, so you can query Navan spend and travel data using natural language.
  • [probe] https://developer.navan.com/llms.txtPROBE llms.txt: HTTP 200 at https://developer.navan.com/llms.txt # Navan Developer Portal > Connect AI assistants to Navan travel and expense data via the Model Context Protocol (MCP),
  • [probe] https://developer.navan.com/mcp/official MCP server documented at https://developer.navan.com/mcp/

Connect an agent via an official MCP serverweight 3

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

  • [claimed-docs] https://developer.navan.comConnect AI assistants — Claude, Cursor, ChatGPT, Codex, OpenClaw — to Navan data using the Model Context Protocol.
  • [claimed-docs] https://developer.navan.com/mcp/The Navan MCP lets you connect Navan to your favorite AI products, so you can query Navan spend and travel data using natural language.
  • [probe] https://developer.navan.com/llms.txtPROBE llms.txt: HTTP 200 at https://developer.navan.com/llms.txt # Navan Developer Portal > Connect AI assistants to Navan travel and expense data via the Model Context Protocol (MCP),
  • [probe] https://developer.navan.com/mcp/official MCP server documented at https://developer.navan.com/mcp/
  • [claimed-docs] https://developer.navan.com/mcp/Show me every flagged expense over $500 from Q1 that hasn't been approved yet, grouped by department.
  • [claimed-docs] https://developer.navan.com/mcp/What's our company policy on rideshare, and which transactions from last month violate it?

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://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.
  • [claimed-docs] https://developer.navan.com/api/Retrieve and update Navan card transactions, Connect card transactions, manual expenses, payroll, repayments, fees, adjustments, daily rebates, and disputes — all from a single API.
  • [claimed-docs] https://developer.navan.com/api/Discover company fields, batch-manage option values, and poll async job status.
  • [probe] https://developer.navan.com/llms.txtPROBE llms.txt: HTTP 200 at https://developer.navan.com/llms.txt # Navan Developer Portal > Connect AI assistants to Navan travel and expense data via the Model Context Protocol (MCP),
  • [probe] https://developer.navan.com/mcp/official MCP server documented at https://developer.navan.com/mcp/
  • [claimed-docs] https://developer.navan.comConnect AI assistants — Claude, Cursor, ChatGPT, Codex, OpenClaw — to Navan data using the Model Context Protocol.

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

2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max

  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.
  • [claimed-docs] https://developer.navan.comConnect AI assistants — Claude, Cursor, ChatGPT, Codex, OpenClaw — to Navan data using the Model Context Protocol.
  • [probe] https://developer.navan.com/mcp/official MCP server documented at https://developer.navan.com/mcp/

Build against official SDKsweight 2

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

  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.
  • [claimed-docs] https://developer.navan.com/api/Retrieve and update Navan card transactions, Connect card transactions, manual expenses, payroll, repayments, fees, adjustments, daily rebates, and disputes — all from a single API.
  • [claimed-docs] https://developer.navan.com/api/Discover company fields, batch-manage option values, and poll async job status.
  • [probe] https://developer.navan.com/llms.txtPROBE llms.txt: HTTP 200 at https://developer.navan.com/llms.txt # Navan Developer Portal > Connect AI assistants to Navan travel and expense data via the Model Context Protocol (MCP),
  • [probe] https://developer.navan.com/mcp/official MCP server documented at https://developer.navan.com/mcp/

Subscribe to events via webhooksweight 2

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

  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.

Agent-ready = 81.6 ÷ 210 × 100 = 38.9

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

  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.
  • [claimed-docs] https://developer.navan.com/api/Retrieve and update Navan card transactions, Connect card transactions, manual expenses, payroll, repayments, fees, adjustments, daily rebates, and disputes — all from a single API.
  • [claimed-docs] https://developer.navan.com/api/Discover company fields, batch-manage option values, and poll async job status.

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

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

  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.
  • [claimed-docs] https://developer.navan.com/api/Retrieve and update Navan card transactions, Connect card transactions, manual expenses, payroll, repayments, fees, adjustments, daily rebates, and disputes — all from a single API.
  • [claimed-docs] https://developer.navan.com/api/Discover company fields, batch-manage option values, and poll async job status.

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

  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.
  • [claimed-docs] https://developer.navan.com/api/Retrieve and update Navan card transactions, Connect card transactions, manual expenses, payroll, repayments, fees, adjustments, daily rebates, and disputes — all from a single API.
  • [claimed-docs] https://developer.navan.com/api/Discover company fields, batch-manage option values, and poll async job status.

API quality = 0.0 ÷ 70 × 100 = 0.0

Openness12.0/100×0.20 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://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.
  • [claimed-docs] https://developer.navan.com/api/Retrieve and update Navan card transactions, Connect card transactions, manual expenses, payroll, repayments, fees, adjustments, daily rebates, and disputes — all from a single API.
  • [claimed-docs] https://developer.navan.com/api/Discover company fields, batch-manage option values, and poll async job status.
  • [claimed-docs] https://navan.com/pricingGlobal travel inventory and exclusive rates
  • [claimed-docs] https://navan.com/product/navan-edgeNavan Edge provides 24/7 access to human travel agents via chat or phone at +1-877-536-3343 in English.
  • [probe] https://developer.navan.com/mcp/official MCP server documented at https://developer.navan.com/mcp/

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

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

Self-host the core 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

Openness = 6.0 ÷ 50 × 100 = 12.0

Built-in AI56.7/100×0.15 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) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expenseAnalyze travel spend and craft suggestions to save
  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expenseSummarize travel spend by month and by category
  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expenseAnalyze travel spend and compare it to company policy
  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expensePredict future travel spend habits with ease
  • [claimed-docs] https://developer.navan.com/mcp/Analyze spend data — query expenses, identify trends, and break down costs by department, vendor, or category.
  • [claimed-docs] https://developer.navan.com/mcp/Ask questions about policies, approval flows, and flag/decline reasons — understand why a transaction was flagged, who needs to approve it, and what policy applies.
  • [claimed-docs] https://developer.navan.com/mcp/Show me every flagged expense over $500 from Q1 that hasn't been approved yet, grouped by department.
  • [claimed-docs] https://developer.navan.com/mcp/What's our company policy on rideshare, and which transactions from last month violate it?

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://navan.com/product/navan-edgeNavan Edge will always ask for your explicit confirmation before booking, changing, or canceling any trip.
  • [claimed-docs] https://navan.com/product/navan-edgeNo. Navan Edge will always ask for your explicit confirmation before booking, changing, or canceling any trip.
  • [claimed-docs] https://developer.navan.com/mcp/The Navan MCP lets you connect Navan to your favorite AI products, so you can query Navan spend and travel data using natural language.
  • [claimed-docs] https://developer.navan.com/mcp/Analyze spend data — query expenses, identify trends, and break down costs by department, vendor, or category.
  • [claimed-docs] https://navan.com/pricingUnlimited policy and approval workflows

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

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

  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expenseAnalyze travel spend and craft suggestions to save
  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expenseSummarize travel spend by month and by category
  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expenseAnalyze travel spend and compare it to company policy
  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expensePredict future travel spend habits with ease
  • [claimed-docs] https://navan.com/product/navan-edgeNavan Edge provides 24/7 access to human travel agents via chat or phone at +1-877-536-3343 in English.
  • [claimed-docs] https://navan.com/product/navan-edgeNavan Edge will always ask for your explicit confirmation before booking, changing, or canceling any trip.
  • [claimed-docs] https://navan.com/product/navan-edgeNavan Edge personalizes results based on: Your preferences shared during chat, Your booking history, Loyalty programs connected to your account

Operate the product with natural-language commandsweight 2

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

  • [claimed-docs] https://developer.navan.comConnect AI assistants — Claude, Cursor, ChatGPT, Codex, OpenClaw — to Navan data using the Model Context Protocol.
  • [claimed-docs] https://developer.navan.com/mcp/The Navan MCP lets you connect Navan to your favorite AI products, so you can query Navan spend and travel data using natural language.
  • [claimed-docs] https://developer.navan.com/mcp/Show me every flagged expense over $500 from Q1 that hasn't been approved yet, grouped by department.
  • [claimed-docs] https://developer.navan.com/mcp/What's our company policy on rideshare, and which transactions from last month violate it?
  • [claimed-docs] https://developer.navan.com/mcp/Analyze spend data — query expenses, identify trends, and break down costs by department, vendor, or category.
  • [claimed-docs] https://developer.navan.com/mcp/Ask questions about policies, approval flows, and flag/decline reasons — understand why a transaction was flagged, who needs to approve it, and what policy applies.
  • [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expenseAnalyze travel spend and craft suggestions to save
  • [claimed-docs] https://navan.com/product/navan-edgeNavan Edge will always ask for your explicit confirmation before booking, changing, or canceling any trip.
  • [probe] https://developer.navan.com/mcp/official MCP server documented at https://developer.navan.com/mcp/

Built-in AI = 51.0 ÷ 90 × 100 = 56.7

Automation15.0/100×0.15 of the PA blend

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

Perform bulk operations across many items at onceweight 2

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

  • [claimed-docs] https://developer.navan.com/api/Discover company fields, batch-manage option values, and poll async job status.
  • [claimed-docs] https://developer.navan.com/api/Retrieve and update Navan card transactions, Connect card transactions, manual expenses, payroll, repayments, fees, adjustments, daily rebates, and disputes — all from a single API.
  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.

Define rules that trigger actions automatically on eventsweight 3

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

  • [claimed-docs] https://navan.com/pricingUnlimited policy and approval workflows
  • [claimed-docs] https://developer.navan.comOAuth 2.0 client-credentials flow, retrieval and update endpoints across the expense surface, custom-field management, receipts, and webhooks.

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

Automation = 12.0 ÷ 80 × 100 = 15.0