Semiconductors & Hardware is one of the deepest verticals on apis.io, with 1,226 providers and 1,930 APIs listed. Its best providers mostly do not make chips. All four exemplars are AI compute platforms, and 36% of the GPU and inference members reach developing or better, against 2.5% of the members tagged as semiconductor companies, 73% of which sit in minimal.
The whole vertical leans low: 736 minimal, 289 emerging, 87 thin, 64 developing, 24 strong, 4 exemplar, and 22 not yet scored.
The functional bands
| Function | Provider | Kin Score | Agent Readiness |
|---|---|---|---|
| Serverless inference | Segmind | 70.6 exemplar | 32.0 agent-ready |
| GPU cloud | NexGen Cloud | 67.5 exemplar | 36.8 agent-ready |
| Compute marketplace | The San Francisco Compute Company | 59.7 strong | 54.3 agent-native |
| Quantum | Microsoft Azure Quantum | 64.9 strong | 25.2 agent-aware |
| AI silicon | Cerebras Systems | 62.8 strong | 28.0 agent-aware |
| IoT devices | Particle | 59.6 strong | 23.9 agent-aware |
| Distribution | Avnet | 51.3 developing | 26.0 agent-aware |
| Components | Renesas | 43.6 developing | 43.2 agent-ready |
Three patterns
Compute is sold through the API, and silicon is not. We split all 1,226 members by tag. Some companies carry both tags.
| Tag group | Members | Developing or better | Minimal or unscored |
|---|---|---|---|
| GPU or Inference | 127 | 36.2% | 17.3% |
| Quantum Computing | 54 | 27.8% | 38.9% |
| Semiconductors | 319 | 2.5% | 77.4% |
The API is the product for a GPU cloud, so its contract gets the attention a product gets. A chip maker’s customers buy parts. TSMC scores 2.0 here. That is what the record shows, and it does not tell you what the company runs privately for its customers.
Distributors are the commercial door to hardware. Avnet lists 36 API contracts, and Arrow Electronics has a record at 30.4. Texas Instruments has six contracts and scores 38.5, which is still thin and beats all but nine of the 319 semiconductor-tagged members.
Agent readiness does not follow rank. Segmind leads the vertical at 70.6 but scores 32.0 on agents. The San Francisco Compute Company is at 59.7 and scores 54.3. Renesas, a developing provider, scores 43.2, ahead of every exemplar in this table.
What is ours to fix
Three things in this cut are our own record-keeping.
Two companies appear twice. Advanced Micro Devices scores 56.3 and is strong, while a separate AMD record scores 2.7. NVIDIA NIM scores 61.5, while the parent Nvidia record scores 12.2 and is human-only at 0.6. The AMD pair looks like a duplicate we should merge. The Nvidia pair may be a fair split between a product and a company, but a reader should not have to guess.
Membership is computed from tags, so the boundary is loose. Best Buy, a retailer, sits in this vertical at 50.1 through its consumer electronics tag. Uncountable, a laboratory informatics platform, is here too, tagged for materials science.
The API counts also drift. The industry page lists Linode with 93 APIs, and its provider page says 127. Treat the 1,930 total as approximate until those are reconciled.
Takeaway
Start with the compute band if you need to run a workload, with Avnet if you need to buy parts, and with Cerebras or Renesas if you want to see what a chip maker’s API can look like. Browse the vertical at apis.io/industries/semiconductors-hardware/.