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Sensible

Sensible

sensible.soDocument ParsingGitHub CopilotGitHub Copilot
64/ 100
C
Score Breakdown64%

Lost points on 7 checks

  • cost6/10
  • time3/15
  • efficiency0/10
  • Context70/14
  • MCP Server0/14
  • Agent Skills0/14
  • CLI0/14
Eval Score (70% weight)74%
cost$0.20 ($0.10–$0.20, great)+6
time203s (180s–300s, slow)+3
efficiency47 tool calls (>25, inefficient)+0
found docsTouched docs at docs.sensible.so: yes (36 matching tool calls)+10
zero errorsNo errors in tool outputs+5
syntax validCode compiles/parses correctly+5
created filesGenerated files: 1 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Checklist Score (30% weight)43%
Context7
+0
llms.txt
Link+14
MCP Server
+0
Typed SDK
Link+14
OpenAPI
Link+14
Agent Skills
+0
CLI
+0

Checklist determined by AI. If something looks wrong, .

Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(74 × 0.7) + (43 × 0.3)= 64%
Replay
Using https://docs.sensible.so/docs/quickstart, complete the following task:

Using Sensible, build me a script that parses this PDF and extracts structured data: https://www.irs.gov/pub/irs-pdf/fw9.pdf

Print the result as JSON with fields: pages (total count), chunks (array of text blocks), tables (array if any found)
parse_w9.py

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Run completed Oct 26, 2026, 7:00 PM