Naive

Naive

usenaive.aiUnified APIPiPi
79/ 100
B
Score Breakdown79%

Lost points on 4 checks

  • time5/15
  • efficiency2/10
  • zero errors0/5
  • Context70/14
Eval Score (70% weight)77%
cost$0.00 (<$0.05, excellent)+10
time80s (60s–90s, good)+5
efficiency16 tool calls (≤20, acceptable)+2
found docsTouched docs at usenaive.ai: yes (9 matching tool calls)+10
zero errorsTool outputs with errors/tracebacks: 1+0
syntax validCode compiles/parses correctly+5
created filesGenerated files: 1 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Checklist Score (30% weight)86%
Context7
+0
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
Link+14
Agent Skills
Link+14
CLI
Link+14

Checklist determined by AI. If something looks wrong, .

Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(77 × 0.7) + (86 × 0.3)= 79%
Replay
Using https://usenaive.ai/docs, complete the following task:

Using the documented Naive REST API, build me a Python script that demonstrates one Naive agent primitive:

1. Read the API key from the `NAIVE_API_KEY` environment variable
2. Call the documented `POST https://api.usenaive.ai/v1/search` endpoint with the query "AI agent infrastructure trends 2026" and `count` set to 3
3. Print JSON with fields:
   - `query`
   - `results` (array of objects with `title`, `url`, and `snippet` when available)
   - `credits_used` when returned by the API
   - `provider` when returned by the API
4. Handle non-2xx responses by printing the response status and body before exiting non-zero

Naive does not provide an official Python SDK for this task. Use the documented REST API with Python `requests`; do not use the Node SDK, CLI, MCP server, or fake/static results.
naive_search.py

Unlock analytics

See Naive's score trend, layer rankings, and competitive position.

Run completed Oct 20, 2026, 8:36 PM