Getting Started

Unihra SDK is the official Python client for the Unihra API. It lets you compare your page against competitors, find content gaps with Umbrella Analysis, and extract knowledge graphs — all from a few lines of Python.

Prerequisites

• Python 3.8+
• An Unihra API key — get one in the dashboard under "API Keys"

Quick Example

from unihra import UnihraClient

client = UnihraClient(api_key="YOUR_KEY")

result = client.analyze(
    own_page="https://example.com/product",
    competitors=[
        "https://competitor1.com/page",
        "https://competitor2.com/page",
    ],
    queries=["buy product online", "best product 2026"],
    lang="en",
    verbose=True,
)

# Umbrella Analysis — words to add to your page
for gap in result.get("umbrella_analysis", [])[:5]:
    print(f"{gap['lemma']:20s}  gap={gap['gap']:.2f}  → {gap['recommendation']}")

What You Get

A single result dict with these sections:

Key	Description
umbrella_analysis	Umbrella gap items — lemmas to add, with zone recommendations
block_comparison	TF-IDF word density comparison (add / increase / decrease / ok)
ngrams_analysis	2–3 word phrase patterns used by competitors
anchors_analysis	Anchor texts with their href URLs
page_structure	Meta title, H1–H6 outline, content volume per page
triplets_analysis	Knowledge graph: entities, facts, topical gaps (extended mode only)
_meta	Task ID, credits spent, analysis mode

Next Steps

• Installation → — extras, optional dependencies
• Running Analysis → — all parameters explained
• Result Sections → — what each field means