Greylock Partners
Greylock Partners is one of the oldest and best-known venture capital firms in the United States, founded in 1965 in Cambridge, Massachusetts and headquartered in Menlo Park, California. Greylock is an early-stage-focused firm that partners with founders at the pre-seed, seed, and Series A stages, deploying the majority of its capital as a first check and continuing to back companies through Series B and beyond. The firm reports over $3.5 billion in committed capital under management. Greylock invests across enterprise and consumer software with an explicitly AI-first thesis, concentrating on applications, infrastructure, cybersecurity, fintech, consumer, and deep tech. Its portfolio and alumni network includes category-defining companies such as LinkedIn, Facebook, Airbnb, Workday, Palo Alto Networks, Cloudera, Coinbase, Figma, Discord, and Anthropic. Partners include Reid Hoffman, Asheem Chandna, Saam Motamedi, Jerry Chen, David Sze, and Mike Duboe.
Greylock Partners has 157 portfolio companies tracked on the APIs.io network, of which 91 (58%) publish APIs indexed here. The remaining 66 are tracked as profiles without a published API on the network.
Its highest-rated API providers on the network are OpenAI, Anthropic, LinkedIn, Okta, Cloudera.
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 10 Complete, well-documented, and agent-ready
Developing 25 Usable, with meaningful gaps to close
Thin 31 Limited public surface area
Emerging 12 Early or largely undocumented
Minimal 4 Almost no public developer surface
Properties
Portfolio
Where the firm publishes its investments
Firm
The firm itself
Cohort brief
Auto-generatedThe 141 portfolio companies with APIs in the catalog, backed by Greylock Partners, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 32 | 23.1 | +8.9 | 141 |
| Access Clarity | 34.6 | 26.4 | +8.2 | 141 |
| Contract Quality | 24.4 | 17.6 | +6.8 | 141 |
| Operational Transparency | 19.5 | 13.6 | +5.9 | 141 |
| Contract Governance | 9.5 | 6.3 | +3.2 | 141 |
| Discoverability | 61 | 58.2 | +2.8 | 141 |
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) | 27% | 15% | +12 |
| MCP server (first-party) | 26% | 12% | +14 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 18% | 11% | +7 |
| Security | 99% | 98% | +1 |
| Arazzo workflows | 6% | 2% | +4 |
| Governance rules | 21% | 13% | +8 |
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 OpenAI 86.5
- 2 Anthropic 78.8
- 3 LinkedIn 76.3
- 4 Lightfield 69.4
- 5 Cloudera 68.2
- 6 Common Room 67.2
- 7 Instagram 66.8
- 8 ServiceNow 64.9
- 9 Okta 64.8
- 10 Censys 64.4
- 1 Lightfield 65.6
- 2 Builder.io 64.2
- 3 Common Room 63.8
- 4 Chronosphere 56.6
- 5 AirOps 55.3
- 6 Zuora 52.5
- 7 Figma 52.2
- 8 Braintrust 49.6
- 9 Opal Security 49.3
- 10 Revolut 49.2
Coverage caveat. 112 of 141 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 3 October 2026, across 28834 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.