Perplexity

SkillSearch

Agent-callable Perplexity tools — ask web-grounded questions with citations, run and poll deep research, list models, and search the web. Use when the user mentions Perplexity or wants a cited web answer or search, even if they don't name Perplexity.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Perplexity skill

What this skill tells your AI

The instructions your AI receives, as published by zapier/connectors in apps/perplexity/SKILL.md and read by ahel’s review.

Agent-callable tools for Perplexity: ask a question and get a current, web-grounded answer with citations, poll a long-running research job, discover the available models, and run a ranked web search. Wraps the Perplexity Agent API and Search API (https://api.perplexity.ai).

Independent, unofficial connector for Perplexity. Not affiliated with, endorsed by, or sponsored by Perplexity. "Perplexity" is a trademark of its owner, used only to identify the service this connector works with.

When to use this

  • Answer a question with up-to-date, cited information gathered from the web.
  • Run deep research as a background job and poll for the result when it's ready.
  • Discover which models (including deep-research) are available to use.
  • Get ranked web search results — titles, URLs, and snippets — for a query.

Setup

This is an agentskills.io skill.

If the connector has not been installed as a skill yet, install it first with npx skills add zapier/connectors --skill perplexity (or your harness's own skill-install mechanism), then continue here. Installing the skill copies these files, not dependencies. Before running the CLI, a local MCP server, or zapier-sdk auth commands, run npm install --omit=dev here once. Importing the published package as a dependency in your own project instead? That npm install already resolves everything — see references/use-as-sdk.md.

Want the actual repo source instead — to browse references/, run this connector's tests, or hack on it? See README.md for a scoped git clone.

The connector runs on Node.js 22.18+. Pick the reference that matches how you're running it, and load it before doing anything else:

You have...Load
An MCP-aware client — tools may already be loaded (e.g. mcp__perplexity__<tool>), or you can register a local server yourself (or guide the user to)references/use-as-mcp.md
Terminal / subprocess access (you can run node)references/use-as-cli.md
Only your own code, importing this package as a dependencyreferences/use-as-sdk.md
No tool access, no terminal, no ability to import this package — you write your own code that calls the Perplexity API directly (e.g. a code-execution sandbox)references/use-as-recipe.md

Scripts

All scripts share a single perplexity connection — one Perplexity API key.

ScriptScript nameConnectionsDescription
scripts/createAgent.tscreateAgentperplexityAsk a question and get a web-grounded, cited answer. Enable web search, pick a model or preset, request structured output, or run long jobs in the background.
scripts/getAgentResponse.tsgetAgentResponseperplexityRetrieve or poll an agent response by id — poll a background / deep-research run until it completes.
scripts/listModels.tslistModelsperplexityList the model ids usable with createAgent, including deep-research models.
scripts/search.tssearchperplexitySearch the web and get ranked results with titles, URLs, and snippets.

Disambiguation & refusals

Unsupported requests — decline, don't fake. This connector answers questions and searches the web; it does not generate images, produce text embeddings, stream partial output, or run the Agent API's other tools (people or finance search, URL fetching, code sandbox). If a user asks for one of these, say plainly that it isn't supported and stop — never substitute a different tool and report success for an action you didn't perform.

Auth

Every shape passes auth as one connection selector, not the secret — a [<resolver>:]<value> string. Every connector accepts zapier:<connection-id> (Zapier-managed auth — routes through Zapier's auth, retries, and governance layer); some also accept one or more direct-token resolvers (naming and count vary per connector) — check this connector's own resolvers rather than assuming. The <resolver>: prefix is optional; a bare value goes to the first resolver that claims it — a UUID-shaped bare value always claims zapier:. Each script declares the connections it needs and the resolvers each accepts. The exact syntax for passing a connection (and how to see this connector's resolver list) differs by shape — see the reference you loaded above.

Checking what's already configured first? Don't dump environment values to do it — env or env | grep <name> prints the value along with the name, leaking a live credential into the transcript if one is set. Check names only (env | cut -d= -f1 | grep -i <name>) or test a known name directly ([ -n "$VAR_NAME" ]).

No connection yet? Pick one — and follow the reference's own flow to obtain it; never just ask the user for a connection id or token as if they already have one memorized:

Load
Pass the credential directlyreferences/use-without-zapier.md
Route it through a Zapier connectionreferences/use-with-zapier.md

Output format

Every script returns a { data, meta } envelope:

  • data — the script's result (the shape its outputSchema declares; see the reference you loaded above for how to inspect a script's exact schema in your shape).
  • meta.outputDataValidation — what validating data did:
    • { skipped: false, droppedPaths: null } — validated, nothing removed.
    • { skipped: false, droppedPaths: [...], instruction } — validated, but those paths were stripped from data: fields the script returned from the API that the outputSchema doesn't declare. If you need them, re-run with output validation skipped.
    • { skipped: true } — validation was bypassed; data is the raw, unchecked script output.

Reading dropped fields / skipOutputDataValidation. To receive the raw, unvalidated result, opt out of output validation (the exact syntax differs by shape — see the reference you loaded above). Input validation is never skipped.

Trimming the result / filterOutputData. To shrink a large result down to the fields you need, pass a jq expression that post-processes data (again, exact syntax per shape). The jq runs against data only, NOT the { data, meta } envelope, so write it rooted at data (run the script's --help — or your shape's equivalent — to see its output schema). The transformed value replaces data, meta is preserved, and the result is NOT re-validated against the output schema.

References

Load the matching reference file before working in that area:

ReferenceCoversLoad it when
references/perplexity-api-gotchas.mdAuth & API keys, error status codes (401/400/429), rate limits & usage tiers, provider/model ids, the Agent request shape (input, model vs preset, web search as a tool, reasoning effort), background runs and terminal statuses, structured-output schema constraints and the first-request schema-prep delay, Search API multi-query/date-filter/max_results rules, and grounding/citations.Before calling any tool — to get error handling, rate-limit backoff, date-filter formats, model ids, background polling, or structured output right.

Signals

GitHub stars
166
Forks
14
Last commit
Aug 2026

ahel review

  • K1binfo
    installs-packages
  • K6low
    bundled executables the agent is told to run
  • K1binfo
    installs-packages (in cli.js)
  • K1binfo
    installs-packages (in README.md)
  • K1binfo
    installs-packages (in references/use-as-cli.md)
  • K1binfo
    installs-packages (in references/use-as-mcp.md)
  • K1binfo
    installs-packages (in references/use-as-sdk.md)
  • K1binfo
    installs-packages (in references/use-with-zapier.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Catalog kind
skill
Gateway key
perplexity-zapier
Source
github.com/zapier/connectors