GET

/v1/schemas/perplexity/embeddings/v1/contextualizedembeddings?kind=output

Accept:

kind outputactivity embeddingshash edce91e0…extracted Aug 15, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. upstream-spec Source trace `95305c44ed99cf4e51463de55994b3bd26063194b78668d5e8753534ee3551ab` { "fetchedAt": 1786772001, "extractorVersion": "1", "verifiedAt": null }

Response body

4 properties · 0 required · 3 $defs

property	type	description
object	string	The object type
data	ContextualizedEmbeddingObject[]	List of contextualized embedding objects
model	string	The model used to generate embeddings
usage	EmbeddingsUsage	Token usage for the embeddings request

Types

3 $defs

ContextualizedEmbeddingObjectobject

A single contextualized embedding result

object	string	The object type
index	integer	The index of the document this chunk belongs to
data	EmbeddingObject[]	List of embedding objects for chunks in this document

EmbeddingObjectobject

A single embedding result

object	string	The object type
index	integer	The index of the input text this embedding corresponds to
embedding	string	Base64-encoded embedding vector. For base64_int8: decode to signed int8 array (length = dimensions). For base64_binary: decode to packed bits (length = dimensions / 8 bytes).

EmbeddingsUsageobject

Token usage for the embeddings request

prompt_tokens	integer	Number of tokens in the input texts
total_tokens	integer	Total number of tokens processed
cost	object	Cost breakdown for the request

Validate a payload

before you spend tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"perplexity","endpointId":"v1/contextualizedembeddings","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}