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DSPy vs Vespa

Vespa scores higher on the AgentReady, 56/100 against 47/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

DSPy. DSPy is a Python framework for building AI systems.

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 DSPy is ahead

DSPy 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: mcp integration available. Vespa misses it.

Where Vespa is ahead

Vespa passes public docs discoverable and llms-full.txt / full agent docs, and DSPy does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference and limits / constraints documented. DSPy misses those.

And on adopt, official typescript sdk. DSPy misses it.

Finally, on operate, observable execution. DSPy 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, agent-compatible signup flow, 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. Vespa leads 87 to 80. DSPy misses public docs discoverable, llms-full.txt / full agent docs; 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 23. DSPy misses structured api reference, openapi / spec quality, authentication documented, 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. DSPy leads 60 to 55. DSPy misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, official typescript sdk; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. Vespa leads 35 to 24. DSPy misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

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

Signal by signal

Which to pick

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

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