Basis Set Ventures
Basis Set Ventures is an AI-native, early-stage venture capital firm founded in 2017 by Dr. Lan Xuezhao and headquartered in the San Francisco Bay Area. The firm invests at the seed and early stages in founders building artificial intelligence across AI infrastructure, autonomous systems, molecular and materials discovery, agentic development tooling, intelligent collaboration, and automated workflows. Basis Set announced a $250M Fund IV and describes itself as "the first capital when it's just you and your vision," pairing capital with an operator-led founder concierge team. Its public portfolio page lists 51 named companies plus 17 stealth investments across four themes (Scalable Infrastructure, Intelligent Collaboration, Automated Workflows, Autonomy); portfolio companies include Path Robotics, Quince, Sakana AI, Tigris Data, Mem0, OpenArt, Cusp, Simular, Vizcom, and Entire. This is an API Evangelist network profile of the firm; Basis Set Ventures does not publish a public API, developer portal, or SDKs, so this record captures firm identity, web properties, and derived security posture rather than API artifacts.
Basis Set Ventures has 51 portfolio companies tracked on the APIs.io network, of which 13 (25%) publish APIs indexed here. The remaining 17 are tracked as profiles without a published API on the network.
Its highest-rated API providers on the network are Drata, Flint, Assembled, Mem0, Workstream.
Portfolio on the Network
Portfolio companies that publish APIs indexed on APIs.io, grouped by their API Evangelist rating. Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Developing 6 Usable, with meaningful gaps to close
Thin 3 Limited public surface area
Minimal 1 Almost no public developer surface
Rest of Portfolio
21 further portfolio companies that don’t yet have a provider page on the network.
Scroll for all 21
Properties
Other
Everything else declared in apis.yml
Cohort brief
Auto-generatedThe 25 portfolio companies with APIs in the catalog, backed by Basis Set Ventures, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Access Clarity | 40.9 | 26.5 | +14.4 | 25 |
| Developer Ergonomics | 34.4 | 23.8 | +10.6 | 25 |
| Operational Transparency | 19.7 | 13.2 | +6.5 | 25 |
| Discoverability | 60.1 | 58 | +2.1 | 25 |
| Contract Quality | 18.2 | 17.7 | +0.5 | 25 |
| Contract Governance | 5.8 | 7 | -1.2 | 25 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 16% | 15% | +1 |
| MCP server (first-party) | 20% | 13% | +7 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 16% | 12% | +4 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 8% | 2% | +6 |
| Governance rules | 8% | 18% | -10 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 Drata
- 2 Flint
- 3 Assembled
- 4 Mem0
- 5 Workstream
- 6 Rasa
- 7 Slope
- 8 Momentum
- 9 Thinking Machines
- 10 Snappr
- 1 Flint {"score" => 56.3, "band" => "agent-ready"}
- 2 Drata {"score" => 53.1, "band" => "agent-ready"}
- 3 Momentum {"score" => 38, "band" => "agent-ready"}
- 4 Slope {"score" => 37.2, "band" => "agent-ready"}
- 5 Mem0 {"score" => 32.9, "band" => "agent-ready"}
- 6 Snappr {"score" => 29.4, "band" => "agent-ready"}
- 7 Openart {"score" => 27.3, "band" => "agent-aware"}
- 8 Rasa {"score" => 25.7, "band" => "agent-aware"}
- 9 Assembled {"score" => 23, "band" => "agent-aware"}
- 10 Tigris {"score" => 21.3, "band" => "agent-aware"}
Coverage caveat. 23 of 25 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 2 November 2026, across 37080 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Source (apis.yml)
Work with this as data
Every firm here is available over the APIs.io API and to AI agents over MCP.