Integration
Connect NetHunt CRM to DocuPipe
When something happens in NetHunt CRM, your agent does the next thing in DocuPipe. Describe it in plain language and the automation is built, tested on every branch and kept running.
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Triggers and actions 9 triggers · 23 actions
Trigger
New Call LogTriggered when a new call log is added to a record in the specified folder.
Trigger
New CommentTriggered when a new comment is added to a record in the specified folder.
Trigger
New folderTriggered when a new folder is added.
Trigger
New Google Drive File in FolderPolls a NetHunt folder for newly attached Google Drive files linked to its records. Input: folder_id. Returns the list of new Google Drive file attachments.
Trigger
New or Updated Record in FolderTriggered when a record is created or updated in the specified folder.
Trigger
New Record in FolderTriggered when a record is created in the specified folder.
Trigger
Two-way sync new or updated records in folderA trigger for two-way syncing new and updated records in a specified folder, with enhanced on-the-fly mapping. Can only be used with enhanced two-way sync actions that support on-the-fly mapping.
Trigger
Updated Record in FolderTriggered when a record is updated in the specified folder.
Action
Add Call LogAdd a call log to the specified record.
Action
Add CommentAdd a comment to the specified record.
Action
Delete RecordDelete a record by ID.
Action
Find RecordSearch records in a folder by ID or text query.
Action
Find record by field valueFinds one record in a NetHunt folder by matching a field value, and projects the record's fields map alongside record_id / id / created_at. DYNAMIC OUTPUT — DOCUMENTED EXCEPTION TO THE DESIGN RULE (2026-07-20). The standing rule puts FIND ops in the IDs-only bucket: GET enriches output with a field picker, FIND/LIST return IDs only. This op is a deliberate exception because NetHunt exposes NO get-by-id endpoint, so there is no GET op that could carry the picker. Re-confirmed against live data: ?query=<recordId> returns [] for a record that demonstrably exists in that folder (record 6a48901d931c9b3a9bbfb83c in Contacts), recordId:x 400s, and find-record-by-id 404s. The choice was therefore FIND-or-nothing, and a NetHunt user with no output picker has no way to map folder fields at all. If NetHunt ever ships a get-by-id endpoint, move the picker to a proper GET op and revert this op to IDs-only. Field values are projected under `fields`, a flat object keyed by field NAME, matching the house convention of a dynamic map beside the record's own top-level keys (cf. Agile/Cliniko/Capsule/MINDBODY `custom_fields`). NetHunt has no standard-vs-custom split — every folder field is user-defined — so the whole `fields` object is the dynamic surface and the container keeps the accurate name `fields` rather than `custom_fields`. The picker is parameterized per folder: `folder_id` is a SETTING (not an input) because dynamic-schema resolution binds only against step settings, so an input-sourced folder could never resolve the discovery at automation-load time. TYPE BLINDNESS (inherent, not fixable here): the backing schema endpoint returns only {name} with no type, so the picker advertises every field as String. Live reads return numbers and lists — e.g. Deal amount 100000 and Probability 0.9 are numbers, and Company / Contact person / Manager / Email / Label are ARRAYS (link fields carry record-id arrays). Mapping one of these as a scalar fails at runtime with no design-time signal.
Action
List Folder FieldsList the fields of a folder.
Action
List Readable FoldersList all folders the user can read.
Action
List Writable FoldersList folders the user can create records in.
Trigger
Document ProcessedTriggers when a document finishes parsing and OCR is complete.
Action
Add schemaCreates a new extraction schema in DocuPipe from a JSON schema you supply, and returns its schema ID.
Action
Analyze documentAsks DocuPipe a list of plain-language questions about one document and starts the analysis, returning the analysis ID to fetch the answers with.
Action
Classify DocumentSends one or more documents to DocuPipe to be sorted into your classes, and returns the job that is doing the work.
Action
Delete documentRemoves a document from your DocuPipe account.
Action
Delete schemaRemoves an extraction schema from your DocuPipe account.
Action
Extract Data From DocumentPulls structured data out of a document using one of your schemas, and returns the extraction to fetch the results with.
Action
Find documents by criteriaFinds documents in your DocuPipe account whose file name or document ID matches what you search for.
Action
Get DocumentReturns one document from your DocuPipe account, with its file details, processing status, parsed text and your own metadata.
Action
Get Extraction ResultReturns the data DocuPipe pulled out of a document, shaped by the schema that was used, along with per-field confidence details.
Action
Get schemaReturns one extraction schema from your DocuPipe account, including the JSON schema it applies and its guidelines.
Action
List documentsReturns the documents in your DocuPipe account, optionally narrowed to one dataset or a date range.
Action
List extractionsReturns the data extractions in your DocuPipe account, optionally narrowed to one schema, one document, or a specific set of extractions.
Action
List schemasReturns the extraction schemas in your DocuPipe account.
Action
Upload and Extract DataSends a file to DocuPipe and immediately starts pulling structured data out of it, returning both the new document and the extraction.
Action
Upload DocumentSends a file to DocuPipe to be read and turned into a document you can extract data from.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.