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Singlestore vs Vespa

Singlestore scores higher on the AgentReady, 57/100 against 56/100. They differ on 7 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Singlestore. SingleStore is a distributed SQL database built to power intelligent applications.

Vespa. Vespa.ai develops the Vespa AI Search Platform, a distributed serving engine that unifies retrieval, ranking, machine learning inference, and real-time serving for business-critical AI applications.

Where Singlestore is ahead

Singlestore passes mcp discoverable, and Vespa does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: agent-compatible signup flow and mcp integration available. Vespa misses those.

Where Vespa is ahead

Vespa passes structured api reference, pricing understandable and limits / constraints documented, and Singlestore does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: free trial or free allowance. Singlestore misses it.

What neither does

Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. Singlestore leads 100 to 87. Singlestore misses nothing; Vespa misses mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Vespa leads 46 to 15. Singlestore misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Singlestore leads 75 to 55. Singlestore misses no mandatory sales call, programmatic credential creation, free trial or free allowance; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. Singlestore leads 39 to 35. Singlestore misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Singlestore does not publish a machine-readable starting price. Vespa starts at $0.05/hour with no free tier.

Singlestore plansVespa plans
-Startup vCPU $0.05/hour, Memory GB $0.005/hour, Disk GB $0.0002/hour, GPU Memory GB $0.03/hour
-Basic vCPU $0.1/hour, Memory GB $0.01/hour, Disk GB $0.0004/hour, GPU Memory GB $0.07/hour
-Commercial vCPU $0.145/hour, Memory GB $0.0145/hour, Disk GB $0.0005/hour, GPU Memory GB $0.1/hour
-Enterprise vCPU $0.18/hour, Memory GB $0.018/hour, Disk GB $0.0007/hour, GPU Memory GB $0.125/hour
-Self Managed Contact Sales

Signal by signal

SignalSinglestoreVespa
AgentReady5756
Discovery10087
Understanding1546
Adoption7555
Operability3935
Public APIYesYes
MCP serverYesNo
OpenAPI specUnknownYes
CLIYesYes
llms.txtYesYes
Self-serve signupYesYes
Free tierUnknownNo

Which to pick

Vespa clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Singlestore and Vespa. Alternatives to each: Singlestore, Vespa.

An agent can fetch this as data: POST /v1/compare {"slugs": ["singlestore", "vespa"]}