unifapi

A guide for connecting to UnifAPI, a service that provides public-data searches and APIs, and using its available operations.

In plain words
What is it for?
Use it for public social research, web or news searches, scraping, market scans, creator reports, and search-engine results summaries.
Why use it?
It helps choose the right connection method and retrieve only the evidence needed for a useful report instead of returning a raw data dump.

Skill for Claude CodeCodex

Part of the unifapi plugin — 47 skills, 1 MCP server shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/unifapi-agent/agents/unifapi
Any agent
npx skills add unifapi-agent/agents --skill unifapi
Clone the repo
git clone --depth 1 https://github.com/unifapi-agent/agents

Made for: Claude Code, Codex.

Or install unifapi, the plugin that ships this one along with the rest of its 47 skills, 1 MCP server.

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 665 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00071 $0.00665
Opus 5 $0.00036 $0.00332
Sonnet 5 $0.00014 $0.00133
Haiku 4.5 $0.00007 $0.00067

Measured 3d ago against content hash 6e01cc4e4535, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

unifapi scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/unifapi/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UnifAPI

Default Path: OAuth MCP

Use the hosted MCP server first:

https://mcp.unifapi.com

Let the MCP client complete browser OAuth when it asks. Do not ask the user to paste OAuth tokens into chat. Do not ask for an API key unless the client cannot complete OAuth and the task genuinely needs live UnifAPI calls.

Read references/mcp.md for OAuth protected-resource metadata, client setup, and the API-key fallback.

References

Agent Workflow

  1. Name the artifact the user wants: ranked table, creator brief, social listening report, market scan, SERP summary, scrape summary, or another decision output.
  2. Use MCP tools such as list_operations and get_operation to find exact public-data operations and schemas.
  3. Call live APIs through call_api only for evidence you need.
  4. Return an artifact, not a raw dump. Include evidence, assumptions, confidence, operations used, and billing metadata when available.
  5. If a live call fails with 401 unauthorized, restart OAuth or use the documented API-key fallback if OAuth is unavailable.

Public-Data Boundary

UnifAPI is for public data: social profiles and posts, search results, trends, web scrape outputs, news, comments, communities, videos, and public company or creator signals.

OAuth authorizes the UnifAPI workspace and credit balance. It does not grant access to a user's private Twitter/X, Google, CRM, email, or SaaS accounts. Use a connector platform when the workflow needs private user-authorized SaaS data.

Read references/public-data.md when choosing whether UnifAPI is the right data path.

Read the full file on GitHub · 58 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 58 lines · 71 tokens per session scan A 6e01cc4e4535

Subscribe to this mod's changes

unifapi is a skill published in the GitHub repository unifapi-agent/agents (557 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 665 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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