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.txt“PROBE 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.com“Connect 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.com“OAuth 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.com“Connect 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.txt“PROBE 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.com“Connect 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.txt“PROBE 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.com“OAuth 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.txt“PROBE 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“Connect 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.com“OAuth 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“Connect 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.com“OAuth 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.txt“PROBE 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.com“OAuth 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.com“OAuth 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.com“OAuth 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.com“OAuth 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.com“OAuth 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/pricing“Global travel inventory and exclusive rates”
- [claimed-docs] https://navan.com/product/navan-edge“Navan 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-expense“Analyze travel spend and craft suggestions to save”
- [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expense“Summarize travel spend by month and by category”
- [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expense“Analyze travel spend and compare it to company policy”
- [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expense“Predict 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-edge“Navan Edge will always ask for your explicit confirmation before booking, changing, or canceling any trip.”
- [claimed-docs] https://navan.com/product/navan-edge“No. 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/pricing“Unlimited 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-expense“Analyze travel spend and craft suggestions to save”
- [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expense“Summarize travel spend by month and by category”
- [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expense“Analyze travel spend and compare it to company policy”
- [claimed-docs] https://navan.com/blog/meet-ava-ai-travel-expense“Predict future travel spend habits with ease”
- [claimed-docs] https://navan.com/product/navan-edge“Navan 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-edge“Navan Edge will always ask for your explicit confirmation before booking, changing, or canceling any trip.”
- [claimed-docs] https://navan.com/product/navan-edge“Navan 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.com“Connect 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-expense“Analyze travel spend and craft suggestions to save”
- [claimed-docs] https://navan.com/product/navan-edge“Navan 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.com“OAuth 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/pricing“Unlimited policy and approval workflows”
- [claimed-docs] https://developer.navan.com“OAuth 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