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DSPy vs OpenRouter

OpenRouter scores higher on the AgentReady, 81/100 against 47/100. They differ on 12 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.

OpenRouter. OpenRouter is a unified interface for AI models that provides access to hundreds of AI models through a single API endpoint.

Where DSPy is ahead

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

It also holds adopt: fast time to first request, copyable quickstart, official python sdk, cli available and mcp integration available. OpenRouter misses those.

And on operate, canonical workflow succeeds. OpenRouter misses it.

Where OpenRouter is ahead

OpenRouter passes 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 authentication documented. DSPy misses those.

And on operate, agent compatibility verified. DSPy misses it.

What neither does

Both fail public docs discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, official typescript sdk, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution. 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. OpenRouter leads 100 to 80. DSPy misses public docs discoverable, llms-full.txt / full agent docs; OpenRouter misses search discoverable, public docs discoverable, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. OpenRouter leads 92 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; OpenRouter misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. OpenRouter leads 88 to 60. DSPy misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, official typescript sdk; OpenRouter misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk, cli available, mcp integration available.

Operate. OpenRouter leads 44 to 24. DSPy misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; OpenRouter misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution.

Pricing

DSPy does not publish a machine-readable starting price and has a free tier. OpenRouter does not publish one and has a free tier.

Signal by signal

Which to pick

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

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