GPT Researcher vs Unstructured
Unstructured leads on trust: 89.2/100 (Grade A) against 63.0/100 (Grade C), a 26.2-point gap. Unstructured leads on supply-chain integrity and provenance.
An autonomous agent that conducts deep research on any data using any LLM providers
GPT Researcher doesn't lead on any scored dimension in this pair.
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Choose Unstructured if supply-chain integrity and provenance matter most.
- +10.7Safety / Integrity: 100% of recent commits signed, against 49%
- +7.2Identity / Provenance: package provenance attested, against none
- +5.5Maintenance: last push 1d ago, against 24d ago
- +1.9Adoption: 581.8k weekly downloads against 6.9k
Where they differ
An independent, evidence-based trust comparison of GPT Researcher and Unstructured, two Research & Data projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | GPT Researcherassafelovic/gpt-researcher | UnstructuredUnstructured-IO/unstructured |
|---|---|---|
| HVTrust score | 63.0 | 89.2 |
| Evidence grade | C | A |
| Coverage grade | A | A |
| Overall rank | #600 | #36 |
| Rank in Research & Data | #13 | #1 |
| GitHub stars | 30.4k | 15.7k |
| Last updated | 24d ago | 1d ago |
| Build provenance | No | Yes |
| OSSF Scorecard | 6.2 / 10 | 6.7 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 7k/wk | 582k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 10.2 | 20.9 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 13.8 | 14.2 |
| Maintenance / 20 | 14.2 | 19.7 |
| Adoption / 20 | 15.9 | 17.8 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | — |
| External providers | 5 — Firecrawl, Google Gemini, Multi-provider (LiteLLM), … | 7 — Amazon Bedrock, Google Gemini, OpenAI, … |
| Requires API keys | Yes | No |
| Plugin surface | plugins | — |
| Provenance drift | Unknown | Match |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →