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Track LinkedIn posts containing specific keywords with powerful filtering options. Monitor industry trends, job postings, or any topic of interest with customizable fetch frequencies.
Platform: LinkedIn. This endpoint creates LinkedIn watchlists only. To track the same keywords or prompt on Reddit, make a separate call to POST /api-reddit-watchlist (identical body shape). One watchlist = one platform; “LinkedIn and Reddit” always means two create calls. See Choose a watchlist type.
The endpoint accepts two body shapes. Pass either keywords (direct mode, documented below) or prompt (AI mode, documented in Prompt mode at the bottom of this page), not both.

Request Body (direct keywords mode)

string
Watchlist name. If not provided, a name will be auto-generated based on keywords.
array
required
Array of keywords to track. Can be simple strings or advanced keyword objects with filtering rules.Simple format:
Advanced format with filters:
string
Optional description for the watchlist
array
Custom intent labels OutX uses to classify matching posts. Each label is a name, a description (what the AI matches a post against), and an optional default flag marking it as a pre-applied feed filter (at most 2 can be true; if you set default on some labels but mark none true, the first is promoted). If omitted, OutX generates a label taxonomy in the background. See Intent labels & defaults and How intent labels are calculated.
string
Optional one-sentence objective describing who or what you want to find and why (for example "Find companies actively hiring senior remote engineers so we can pitch our sourcing tool"). It seeds the relevance-scoring vector so posts rank like a prompt-built watchlist. If omitted, OutX generates one in the background from the name, description, and keywords.
number
default:"12"
Fetch frequency in hours. Allowed values: 1, 3, 6, 12, 24, 48, 72
string | null
Optional Slack incoming-webhook URL to receive notifications when new matching posts are found.

How intent labels are calculated

Full reference: Intent labels, enrichment & default feed filters, including what default: true/false means and how to change defaults later.
Labels (shown as Intents in the OutX app) are how OutX classifies the meaning of a matched post, not just whether it matched a keyword. Each label is a name plus a description, and the description is what the AI matches a post against. Labels are stored on the watchlist, not on individual posts. They are applied to posts during a background enrichment pass and then surface on each post in the Get posts response as tags (the matched label name) and tagDescriptions.
The same concept has two names in the API: labels on the watchlist, tags on a post. A post’s tag is the label it was classified into. A post with no confident match gets the tag "na".

How a post gets classified

Each newly collected post is enriched in two steps:
  1. Relevance scoring (deterministic). The post is scored against the watchlist using embedding similarity plus keyword matching, producing relevance_score (1-10). Low-relevance posts are tagged "na" and skip the next step.
  2. Label selection (AI). For relevant posts, a single model call picks the one label whose description best fits the post, or none. The chosen label is written to the post’s tags.
Because only the description is read by the classifier, a clear, specific description matters far more than the name.
There is no sentiment field on posts. OutX classifies posts into your intent labels (tags), not into positive/negative sentiment, and relevance_score measures relevance to the watchlist, not tone. If you need sentiment, derive it from the post content yourself, or model it as an intent label (for example a label described as “frustrated with or complaining about a competitor”).

Timing: labels are not instant

A post is not labeled the moment you create the watchlist. Two delays stack:
  1. Collection cadence. New posts only arrive on the watchlist’s fetchFreqInHours cycle (1, 3, 6, 12, 24, 48, 72; default 12h). Until the next scan runs, there are no new posts to classify.
  2. Enrichment. Every newly collected post starts unlabeled and is classified by a background job. Historical posts pulled in when the watchlist is first created are unlabeled the same way until that job processes them.
Labeled posts therefore appear after the next fetch cycle plus the time enrichment takes to work through its queue, not instantly. An agent polling Get posts right after creating a watchlist should treat empty tags as “not classified yet,” not “no match.”

Editing labels is forward-only

Each post is classified into a label exactly once, when it is first enriched. Adding or changing labels with Update keyword watchlist changes how future posts are classified but does not re-label posts that were already enriched, they keep the tags they had. To re-classify already-collected posts against new labels, those posts must be explicitly re-enriched (OutX re-runs classification over roughly the last 30 days); a plain label update does not do this on its own.

Advanced Keyword Filtering

Each keyword can have additional filtering rules:
string
required
The primary keyword to search for
array
Context keywords used together with the primary keyword. How they combine is controlled by include_all_required.
array
None of these keywords should be present in the post (NOT logic)
boolean
default:"true"
Controls how required_keywords combine. true (default) means every required keyword must be present (AND logic). false means any one is enough (OR logic). OR usually matches far more posts and is what the AI prompt generator uses, so set include_all_required to false when a multi-term required list is matching almost nothing. Plain-string keyword entries always use the default (AND).
When you create a keyword watchlist, OutX backfills recent matching posts automatically in the background, so the watchlist is usually non-empty within minutes instead of waiting for the first live fetch cycle.

Idempotency

POST is idempotent on the keyword set. If your team already has a keyword watchlist whose primary keywords match the request exactly (order-insensitive, lower-cased, trimmed), the existing watchlist is returned with:
  • HTTP status 200 OK (instead of 201 Created)
  • created: false
  • The existing watchlist’s fetchFreqInHours and labels are returned, your request’s values are ignored for the duplicate match.
Use this to safely retry creations without hitting the plan-watchlist limit. The plan check is only applied when a brand-new watchlist would be created.

Response Fields

string
Unique identifier for the watchlist
string
Watchlist name
string
URL-friendly slug for the watchlist
string
Always “keyword” for keyword watchlists
array
Array of tracked keywords
number
Fetch frequency in hours
boolean
true when a new watchlist was created (status 201), false when an existing watchlist with the same keyword set was returned (status 200).
array
Array of keyword creation results
array
Intent labels persisted on the watchlist, as { key, description, default } objects. When you did not supply real labels, these are placeholders that are replaced by an AI-generated taxonomy a few seconds later (see message).
string
Present when OutX is generating a missing objective or label taxonomy in the background: "Watchlist created. An objective and intent labels are being generated in the background and will be available shortly."

Error Responses

Use Cases

Monitor hiring posts for specific roles and locations:
Watch for mentions of competitors:

Prompt mode

Skip the keyword brainstorming and let OutX generate keywords and intent labels for you. Send a single prompt field describing what you want to track in plain English. OutX creates the watchlist immediately and runs keyword and label generation in the background.

Request Body

string
required
Plain-English description of what to track. URLs are allowed; OutX fetches page metadata to improve keyword quality.Examples:
  • "AI-native CRM tools and competitors like Salesforce, HubSpot"
  • "People looking for remote software engineering jobs"
  • "Mentions of our product Acme and common complaints"
string
Optional watchlist name. Auto-generated from the prompt if omitted.
number
default:"12"
Fetch frequency in hours. Allowed values: 1, 3, 6, 12, 24, 48, 72.
Keywords and intent labels populate on the watchlist a few seconds after creation. Use Get Keyword Watchlist to fetch the latest state.

Frequently Asked Questions

There is no hard per-watchlist keyword cap enforced by the API. What your plan caps is the number of watchlists and the posts collected per watchlist per week, so a very broad keyword set exhausts the weekly post quota faster. Check your plan limits with GET /api-team.
Make a second create call to POST /api-reddit-watchlist with the same keywords or prompt. LinkedIn and Reddit watchlists are separate resources with separate IDs and feeds; there is no single call that creates both.
Tracking begins immediately after creation. OutX will start scanning LinkedIn for matching posts on the next fetch cycle, based on the fetchFreqInHours value you set. If you set fetchFreqInHours to 1, you can expect the first results within an hour.
When you reach the maximum number of watchlists allowed by your plan, the API will return an error when you try to create a new one. You can either delete an existing watchlist to free up a slot, or upgrade your plan for higher limits.