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โ† All use cases
๐Ÿ”ฌRESEARCH

Power AI ecosystem research with reproducible data

For: AI researchers and graduate students studying the AI ecosystem itself โ€” mapping industry structure, analyzing adoption patterns, and building meta-analyses of the AI landscape.

The problem

Academic and industry research about the AI ecosystem relies on manually curated datasets that are incomplete, static, and difficult to reproduce. A researcher studying "which AI companies pivoted to agent frameworks in 2025โ€“2026" would need to manually compile data from press releases, product pages, and industry reports โ€” a process that takes weeks and produces non-reproducible results impossible to peer-review.

How Wikitopia helps

Query Wikitopia's knowledge graph programmatically via the REST API to extract structured, reproducible datasets. Filter entities by type (companies, models, frameworks), time period, and relationship type. Every claim links to its primary source URL for citation, and confidence scores enable systematic quality filtering. The structured JSON format is immediately usable in research pipelines, Jupyter notebooks, and analysis tools โ€” and your methodology is fully reproducible.

python example
import requests
import pandas as pd

# Which AI companies adopted agent frameworks in 2025?
response = requests.get(
    "https://api.wikitopia.org/v1/claims",
    params={
        "predicate": "launched_agent_framework",
        "valid_from": "2025-01-01",
        "valid_until": "2026-01-01",
        "min_confidence": 0.75,
        "limit": 100,
    },
    headers={"Authorization": "Bearer wt_your_key_here"}
)

df = pd.DataFrame(response.json()["claims"])
# df has: subject, predicate, object_value, confidence, source_url
# Fully reproducible โ€” share the query params, reproduce the dataset

Related use cases

๐Ÿ”RAG

Build RAG pipelines with structured AI knowledge

RAG pipelines fed with web-scraped AI content produce noisy, contradictory results. Wikitopia's API delivers pre-structured claims with typed relationships, confidence scores, and source URLs โ€” ready for embedding.

REST APIConfidence scoresTemporal metadata
See how it worksโ†’
๐Ÿ“กINTELLIGENCE

Track AI ecosystem shifts before your competitors do

The AI landscape changes weekly. Wikitopia's impact analysis tool maps how changes cascade through the ecosystem. When Anthropic updates its API, see which frameworks and applications are affected.

wikitopia_impact_analysisRelationship graphMulti-model verification
See how it worksโ†’