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Urban Dictionary

Utilities & Personal

Look up crowd-sourced slang definitions from Urban Dictionary, by term, by definition ID, or at random. Agents decode the language in user-generated content before acting on it.

5 actions No credentials available
Platform Documentation ↗ Capability data verified 2026-07-31
A support ticket or community post contains a term the classifier does not recognize
Agent isolates the unknown term and strips punctuation and casing
Agent calls Get Term Suggestions to confirm the term exists and to pick the exact spelling
Agent calls Define Term and collects the candidate definitions with their permalinks and submission dates
Agent compares each candidate meaning against the policy categories and marks the item for review when any candidate is a policy hit
Agent writes the candidates and permalinks into an internal note on the ticket, never into the customer-facing reply
A moderator reads the candidates and decides what happens to the post or the account

What This Integration Enables

There is no account and no API key. The public Urban Dictionary endpoint is open, so this connector has no connection settings at all, and a flow that needs to decode a slang term can be wired up and running without anyone filing a credentials request. That matters more than it sounds for triage work, where the cost of adding a lookup is usually the approval, not the build.

What the connector is for is narrow and worth stating precisely: it decodes language that users actually wrote. An agent working a moderation queue, a support inbox or a social listening feed will regularly meet an acronym, a compound or a piece of internet shorthand that no dictionary and no classifier recognizes, and the choice is either to escalate blind or to look it up. Urban Dictionary is where that vocabulary is written down first. It is also unmoderated crowd-sourced text, frequently obscene, often wrong, and sometimes written to be offensive on purpose. Treat it as a decoding aid and never as a source to quote back to a customer. The vendor's own vote counts currently return zero on every entry, so there is no popularity signal to rank by either: the first definition returned is the first one, not the agreed one. Every scenario below is built around that constraint rather than around it.

Without FlowRunner

Unknown terms stall triage The agent hits a word it cannot classify and hands the whole item to a person with no context attached
Meaning inferred from tone A moderator judges an unfamiliar term by how the surrounding sentence feels rather than by what the term means
Lookups done in a browser tab Someone leaves the queue mid-shift to search the term themselves and comes back with one reading

With FlowRunner

Term decoded inside the flow Likely meanings and their sources arrive attached to the item before a person opens it
Candidates instead of a verdict Several readings are presented with dates and permalinks, and the agent does not choose between them
Source text stays internal Crowd-sourced definitions land in an internal note and never reach a customer-facing message

Use Case Scenarios

Support triage that arrives with context

A customer support agent processes an inbound queue in Zendesk and hits a ticket whose complaint hinges on a term the intent classifier scores as unknown. Instead of routing an unlabelled ticket to a human, the agent calls Get Term Suggestions to confirm the spelling, then Define Term to pull the candidate meanings. It writes the top candidates, with permalinks and submission dates, into an internal note and tags the ticket with the likely intent. The support representative opens a ticket that already tells them what the customer probably meant, and can see for themselves how confident that reading deserves to be.

Social listening that does not misread a mention

A brand monitoring flow watches Reddit and community channels for product mentions and scores each one for sentiment. Compound slang breaks sentiment scoring more often than profanity does, because a term can look neutral and carry a strong meaning, or look hostile and be affectionate. The agent pulls unrecognized terms out of the flagged mentions, runs Define Term on each, and attaches the candidate meanings to the daily digest. The team reviewing the digest sees both the mention and the vocabulary it used, and can correct a sentiment score before it feeds a report.

A daily post that a person signs off

A community team runs a light Word of the Day post into their Discord server. A scheduled agent calls Get Words Of The Day, retrieves the featured entries with the day each was featured, and drafts the post. It does not publish. Featured entries are still user submissions and can be crude, so the draft goes to the community manager with the full definition text and the permalink, and the post only goes out on approval. The agent handles the schedule and the formatting. The judgment about what belongs in a company-run server stays with the person who owns that server.

Human-in-Loop Highlight

The consequential moment is not the lookup, it is what happens to a real person off the back of it. An agent that reads a definition and then removes a post, mutes an account or issues a warning has made a decision about a customer using unmoderated text submitted by an anonymous stranger, ranked by nothing, since the vote counts the API returns are currently zero across every entry. The first definition is simply the first definition. So the agent never acts on the account. It gathers the candidates, writes them to an internal note, and stops with a specific question to the moderator in Slack: "This post was flagged on the term 'X'. Urban Dictionary returns four definitions for it, two of which would breach policy and two of which would not, with permalinks and dates below. Nothing has been actioned. Do you want to remove the post, warn the account, or clear the flag?" The definition text itself never appears in a message to the customer, in a moderation notice, or in any public channel. This is what routing automation exceptions to a person looks like when the input is genuinely unreliable, and it is why human-in-the-loop belongs before the enforcement action rather than in an appeal afterwards.

Agent processes routinely
Detects exception requiring judgment
Clear match Continues automatically
Ambiguous Routes to human via Slack
Human decides
Agent resumes with decision

Agent Capabilities

5 actions

Definitions

2
  • Define Term Looks up crowd-sourced definitions for a slang word or phrase. It returns up to 10 definitions per page, each with the definition text, a usage example, the contributing author, vote counts, a permalink and the submission date. Results are unmoderated user submissions and are frequently crude, offensive or simply wrong. An unknown term returns an empty list rather than an error, which makes an empty result a usable signal in a flow.
  • Get Definition By ID Retrieves a single definition by its numeric definition ID, the identifier returned by Define Term, Get Random Definitions and Get Words Of The Day. Use it to re-read a specific definition later without repeating a term search, for example when a moderation decision is being reviewed. A missing ID raises an error rather than returning nothing.

Discovery

3
  • Get Term Suggestions Returns up to 10 terms that start with or closely match the supplied text, optionally with a short preview of each term's top definition. Use it to confirm that a term exists before spending a lookup on it, to build a type-ahead experience, or to settle on the exact spelling to pass to Define Term.
  • Get Random Definitions Returns a batch of randomly selected definitions, which suits novelty content and prompt material. The API always returns 10 entries per call, so a maximum-results setting trims the batch after retrieval rather than requesting fewer. Entries are unmoderated and regularly explicit, so review them before they appear anywhere a customer can see.
  • Get Words Of The Day Retrieves the definitions featured as Word of the Day, most recent first, each tagged with the day it was featured. It suits scheduled social posts and daily digests. Featured entries are still user-submitted and can be crude, so the sensible pattern is to draft the post automatically and have a person release it.

Frequently Asked Questions

What can FlowRunner do with Urban Dictionary?

FlowRunner agents can run Define Term, Get Definition By ID, and Get Random Definitions in Urban Dictionary, plus 2 more actions.

Does connecting Urban Dictionary to FlowRunner require OAuth?

No. Urban Dictionary needs no credentials at all, so there is no key to obtain, store, or rotate.

Can Urban Dictionary trigger a FlowRunner workflow automatically?

Urban Dictionary doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger.

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