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POST
zlm-v1-signal-extract: Responses
ZeroGPU’s signal extractor turns unstructured text into structured signals that downstream systems can act on. One inference call returns topics, keywords, intent, and other contextual attributes as structured output, so content enrichment, contextual intelligence, ad targeting, agent routing, recommendation systems, and analytics pipelines all read from the same pass. At 80M parameters it is built for high-volume workloads where a general-purpose LLM is more machinery than the job needs.
References: TermsPrivacy

Authorizations

x-api-key
string
header
required

Headers

x-project-id
string

Optional project identifier. Scopes the request to a specific project when provided.

Body

application/json
model
string
default:zlm-v1-signal-extract
required

Model identifier (fixed for this playground). Use request examples to change use cases.

Allowed value: "zlm-v1-signal-extract"
Example:

"zlm-v1-signal-extract"

input
string<textarea>
required

Multi-line text or document content to send to the model.

Required string length: 1 - 131072

Response

Success

The response is of type object.