Goro vs Composio: two ways to give agents tools

Composio is an authentication and integration layer: it holds the OAuth connection between your agent and the SaaS accounts you or your users own, and exposes 1,000+ integrations as callable tools. Goro is a metered gateway to the outside world: 77 tools that read public data and generate media, with no account at the source because the credentials are ours. One solves getting in. The other solves getting out.

What Composio is

Composio owns the part of agent tooling that is unglamorous, security sensitive and genuinely hard, which is authentication. Its homepage advertises 1,000+ integrations and fully managed OAuth for every connector, naming Gmail, Slack, GitHub, Notion, Linear, Stripe, HubSpot and Google Sheets among them. The model in its docs has two pieces. An auth config is the blueprint for a toolkit: the method (OAuth2, API key, bearer or basic), the scopes, and whose OAuth app credentials it runs on, theirs for development or yours for production. A connected account is one user's live link to that service, keyed by a user id, with tokens refreshed automatically and a status you can query. That is the shape a multi-tenant product needs, and it is a lot of code you no longer have to write or keep safe. Billing is a monthly plan with an allowance of tool calls.

What Goro is

Goro is one connection that gives an agent 77 tools across nine categories: social platforms, ecommerce, people and companies, search, maps, web pages, and image, video and voice generation. There is no consent screen anywhere in that sentence, because there is nothing to log in to. You are not reading your own Instagram account, you are reading a public profile. Signing up and browsing the catalog are free, and a plan, Build or Scale, fills one balance with included credit every month plus optional top-ups. Every call carries a price the agent can read before it runs, and a failed call is not charged.

So the two answer different questions. Composio answers how an agent gets permission to act as this user, in this app. We answer how an agent finds out something the world knows and nobody has issued it a login for. The comparison worth making is at the level of the meter and the model, which is what the rest of this page does.

About $10.85 on Goroand $0 on Composio, and that gap is a category difference rather than a discount. The workload is one month of an outbound research agent: 500 calls on our side to find and enrich 150 people and verify a way to reach them, then 210 calls on Composio's side to upsert those people into a CRM and draft the emails. Composio's free plan includes 20,000 tool calls a month, so the delivery half is free at this size, roughly 95 times over.

The honest way to read the table is by marginal price. As of August 2026 Composio's cheapest paid tier is $29 a month for 200,000 tool calls, with additional calls at $0.299 per 1,000. Nothing in our catalog is close to that, and nothing in our catalog should be. Their call hands a token you already own to an API you already have a contract with. Ours goes and collects a LinkedIn profile or a page of search results that somebody has to pay to fetch. Compare the meters, not the digits.

One caveat, stated rather than buried: while this page was written, Composio's pricing page carried a notice that pricing changes on 15 August 2026, with the new tiers unpublished. Every Composio figure here is what that page said on 7 August 2026.

Yes, and for most agent products this is the intended setup rather than a compromise. Goro fetches what the world knows, Composio carries it into the accounts your users own. The two meters count different things, so running both costs you the sum of two small bills instead of paying twice for one job.

Wiring is straightforward in either direction, because both sides speak MCP. Composio hands you a session MCP url and headers you can point any MCP client at, Claude Code and Cursor included. We expose the catalog over MCP, plain HTTP, or an agent skill you install with set up https://usegoro.ai/SKILL.md. Give the agent both connections and let it plan across them.

One thing worth designing on purpose: keep the research loop on our side and the write loop on theirs. An agent that enriches 40 people and writes 40 records spends 40 units on each meter, which is the cheap shape. An agent that interrogates your CRM before every fetch burns hundreds of tool calls to save a handful of data calls. Fetch once, write once. The lead generation playbook walks the research half end to end, and the Zapier comparison covers the same split when the delivery layer is a workflow builder rather than an auth layer. If what you actually want is one key per API instead of one balance, the RapidAPI comparison is the closer question.