Match public research or document extraction against 26 documented service profiles across 11 task types. Hard conflicts are excluded; unknown requirements remain unresolved. Your query is used for this response, not saved by Evident. Do not enter private content.
Clarify missing requirements before selecting.
Operation-level hard constraints first; recent passing task fixture next; name breaks ties. No quality or success percentage.
{
"task": "document_text"
}Explicit structured request. Only the displayed structured fields are checked. Requirements in free text not represented there are unverified.
Matched: task:document_text
This profile covers text and metadata. Structured table reconstruction and OCR require separate configuration and are not claimed.
No recent passing task fixture for this task. Inspect the test scope
Connection plan & tests →Matched: task:document_text
OCR and table quality depend on the pipeline and document. Remote VLM configurations are outside this local profile.
No recent passing task fixture for this task. Inspect the test scope
Connection plan & tests →Matched: task:document_text
Parsing modes differ in price and accuracy. Schema-driven LlamaExtract is a separate product and is not implied by this profile.
No recent passing task fixture for this task. Inspect the test scope
Connection plan & tests →Matched: task:document_text
Code and model weights have different terms. Commercial eligibility is not established here; this is not an unconditional free commercial service.
No recent passing task fixture for this task. Inspect the test scope
Connection plan & tests →Matched: task:document_text
Model downloads and compute cost are separate. Partitioning results vary by strategy; a cloud API or remote enrichment would change the privacy boundary.
No recent passing task fixture for this task. Inspect the test scope
Connection plan & tests →Run research or local extraction · Define acceptance criteria · No suitable fit? Register a need
Call plan_service_task, inspect get_task_connection_plan, then execute from your own client. Use your scoped workspace token to record the result.