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Papermill

Papermill's API makes it easy to turn AI-generated markdown and JSON into production-grade PDFs.

Agent scoreup 0.8
81.0/100Good
Rank
Top 32%
#166
SaaS rank
Sector average 71.3
#78
Benchmark runs
5 providers
1
Where this site sits
SaaS avg
71.3 (+9.7)
Market avg
72.6 (+8.4)

01

Latest results

Papermill ranks #166 of 523 scored sites.

First run. The comparison starts after the next one.

Overall: 81.0 now
Brand awareness: 95.1 now
Discovery: 93.9 now
Information retrieval: 87.4 now
Market ranking: 53.0 now
Accuracy: 71.6 now
Task completion: 93.9 now
Delegated access: 35.5 now
Contact & communication: 58.2 now
  • This site
  • SaaS
  • Market

By category

  • Brand awareness
    95
  • Discovery
    94
  • Information retrieval
    87
  • Market ranking
    53
  • Accuracy
    72
  • Task completion
    94
  • Delegated access
    36
  • Contact & communication
    58
Table view
RunThis siteSaaS medianMarket median
1 Oct 202681.085.883.8

Monthly medians. Dates in UTC.

02

Performance

Site checks, then AI agents on real tasks.

Methodology

Automated checks probe the site before any agent runs. They count for 40% of each category. Strongest is Information retrieval at 85.0, weakest is Delegated access at 10.0.

Site checks by category

Brand awareness
80.0
Discovery
70.0
Information retrieval
85.0
Market ranking
35.0
Accuracy
60.0
Task completion
75.0
Delegated access
10.0
Contact & communication
30.0

Agents

Each agent’s score over 30 days, and how its latest sessions went.

  • Excellent85+
  • Good72-84
  • OK58-71
  • Poor40-57
  • Critical<40

Latest run 1 Oct 2026 (UTC). Sign in to request a re-run from 2 Oct 2026, 11:29 UTC.

03

Potential improvements

Fix where agents got stuck, then lift your biggest categories.

HighDelegated access

No discoverable MCP server. Agents and AI clients have no way to discover one automatically.

Biggest wins

Projected

Lifting Contact & communication to Good adds about +0.5 on its own, taking the overall from 81.0 to 81.5.

  1. Raise Contact & communication from 58.2 to 72 (Good) to add about 0.5 to the overall score.

  2. Raise Market ranking from 53.0 to 58 (OK) to add about 0.3 to the overall score.

  3. Raise Delegated access from 35.5 to 40 (Poor) to add about 0.2 to the overall score.

Each gain assumes only that category improves. Fix several and the total lands a little under their sum.

Where agents get stuck

13 improvements from the latest run, 3 of them high severity.

High
3
Medium
6
Low
4
  1. HighDelegated access

    No discoverable MCP server. Agents and AI clients have no way to discover one automatically.

  2. HighDelegated access

    No discoverable public API docs. Agents and AI clients have no way to discover them automatically.

  3. HighContact & communication

    No contact page linked or reachable. Agents acting on a user’s behalf have nowhere to send a message.

10 more, and the evidence for each

Want to find these in your own flows before an agent does? Read how to test your product for AI agent users.

Technical readiness

2 of 10 essential checks fail. These are the files and signals agents read before they act.

Score

82/ 100

Ready with a few material gaps

Essential
8 of 10 pass
Recommended
7 of 18 pass
Bonus
+2.3 from 10 positive signals
Investigate
Scoped permissionsessential
Investigate
JSON-LD structured datarecommended
Investigate
API schema complexity analysisrecommended
28 checks · scanned 1 Oct 2026
Opportunity cost · SaaS

Papermill could see ~$1,292,000 of new ARR exposed to agent-led journeys each year

Gap to leader
19.0 pts
Above SaaS avg
0.0 pts
Modeled new ARR at risk
$1,292,000

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