DCVC (Data Collective)
DCVC (Data Collective) is a deep-tech venture capital firm founded in 2011 and headquartered in Palo Alto and San Francisco, California. Founded and led by managing partners Matt Ocko and Zachary Bogue, DCVC backs entrepreneurs using computational and AI-driven approaches to solve trillion-dollar problems in the real world across sectors that have often seen little material progress in decades. The firm invests from early through growth stages across AI, compute and quantum, computational biology and chemistry, cybersecurity and defense, energy and climate, finance and insurance, industrial transformation and advanced manufacturing, next-gen agriculture, space, TechBio and TechMed. Across 13+ funds DCVC manages roughly $4B in assets under management (self-reported / press), making it one of the larger dedicated deep-tech franchises. Notable portfolio outcomes include companies spanning fusion energy, carbon transformation, robotics, drug discovery, and data infrastructure.
DCVC (Data Collective) has 292 portfolio companies tracked on the APIs.io network, of which 72 (25%) publish APIs indexed here. The remaining 219 are tracked as profiles without a published API on the network.
Its highest-rated API providers on the network are Nylas, Confluent, Elastic, Circleci, Health Gorilla.
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 8 Complete, well-documented, and agent-ready
Strong 9 Solid coverage with minor gaps
Developing 16 Usable, with meaningful gaps to close
Thin 22 Limited public surface area
Emerging 12 Early or largely undocumented
Minimal 5 Almost no public developer surface
Rest of Portfolio
1 further portfolio companies that don’t yet have a provider page on the network.
Scroll for all 1
Properties
Portfolio
Where the firm publishes its investments
Firm
The firm itself
Cohort brief
Auto-generatedThe 211 portfolio companies with APIs in the catalog, backed by DCVC (Data Collective), scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Governance | 5.3 | 7 | -1.7 | 211 |
| Discoverability | 55.1 | 58 | -2.9 | 211 |
| Developer Ergonomics | 20.8 | 23.8 | -3 | 211 |
| Operational Transparency | 10.1 | 13.2 | -3.1 | 211 |
| Access Clarity | 21 | 26.5 | -5.5 | 211 |
| Contract Quality | 12 | 17.7 | -5.7 | 211 |
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) | 12% | 15% | -3 |
| MCP server (first-party) | 11% | 13% | -2 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 5% | 12% | -7 |
| Security | 94% | 98% | -4 |
| Arazzo workflows | 3% | 2% | +1 |
| Governance rules | 12% | 18% | -6 |
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 Nylas
- 2 Confluent
- 3 Elastic
- 4 CircleCI
- 5 Health Gorilla
- 6 Honeycomb
- 7 Airtable
- 8 IBM
- 9 Paperspace
- 10 Amplitude
- 1 Nylas {"score" => 59.6, "band" => "agent-native"}
- 2 Databricks {"score" => 58.9, "band" => "agent-ready"}
- 3 Amplitude {"score" => 56.7, "band" => "agent-ready"}
- 4 CircleCI {"score" => 56.1, "band" => "agent-ready"}
- 5 The San Francisco Compute Company {"score" => 55.9, "band" => "agent-native"}
- 6 Honeycomb {"score" => 54.3, "band" => "agent-ready"}
- 7 Coinbase {"score" => 51.5, "band" => "agent-native"}
- 8 Airtable {"score" => 50.3, "band" => "agent-ready"}
- 9 Checkr {"score" => 48.1, "band" => "agent-ready"}
- 10 Confluent {"score" => 46.2, "band" => "agent-ready"}
Coverage caveat. 190 of 211 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.