📝Clay and 📝Cargo are both 📝Go-To-Market (GTM) data and automation platforms that, as of September 2026, expose a CLI, an HTTP API, and a 📝Model Context Protocol (MCP) server so coding agents can source, enrich, and send without opening the app. They diverge on who builds the system: Clay's agent surface runs and edits things a human built in the app, while Cargo's agent surface defines the whole workspace as code and deploys it.
At a Glance
Build Model
The sharpest difference is what an agent is allowed to create. Clay's plugin ships a primitive escalation order, Audiences then Search then Routines then Workflows then Tables, and draws hard lines around it: an agent can invoke a custom function but cannot build one, can read a table but cannot create one, and can write a campaign's sequence and variants but cannot launch, pause, or complete it. Those actions stay in the Clay app by design, and the plugin's own skills tell the agent to say so rather than work around it. Cargo inverts this. Every resource is a define*() call in a TypeScript file, cargo-ai cdk plan diffs the tree offline, and the 📝Cargo Manifest template hard-blocks local deploys so changes ship from CI on merge. Clay is safer for a rep with an AI tool; Cargo is built for a team that wants its revenue engine reviewed like infrastructure.
Sourcing and Enrichment
Clay owns a people and company database and lets agents query it directly with a search grammar, paging up to 500 rows per call against a plan quota (100 results a month on Free, one million a year on paid plans). That is the one thing Cargo does not have: it sources through connectors such as AI Ark and Sales Navigator, billing per returned record, and offers a free count call so the pool is sized before it is bought. On enrichment the two converge. Clay routes through 200-plus providers behind waterfall columns whose order is invisible in an export, while Cargo lists 552 actions with the credit cost of each visible in action list; Cargo's own migration skill argues that explicit rungs make the bill legible, which is the honest framing of the trade.
Send Rail
Both now sell the inbox. 📝Sequencer (Clay) 2.0 buys domains and accounts with credits, targets about $4.50 per account per month and $15 per domain per year, and fulfils through 📝Smartlead and Zapmail; accounts arrive in a couple of days, need roughly two weeks of warm-up, and campaigns launch from the app. 📝Cargo Mailboxes are declared in code, cost 100 to 125 credits a month plus 0.1 credits per delivered email, ramp from 5 to 40 sends a day over 45 days, and expose sent, opened, clicked, replied, and unsubscribed as thread events an agent can wait on. Cargo's rail is fully agent-operable but does not parse bounces yet; Clay's rail is more mature underneath but keeps the launch lever in human hands.
Where Each Wins
Clay wins when a human is still building the tables, functions, and campaigns and the agent's job is to run them, research with 📝Claygent, or draft copy. Its first-party database, 200-plus provider marketplace, and admin-capped MCP for reps make it the safer surface to hand a sales team, and its Chrome extension and table UI remain the fastest way to prototype an enrichment.
Cargo wins when the GTM system should be code: reviewed in pull requests, deployed from CI, with plays, agents, and mailboxes an autonomous loop can own end to end. Explicit per-action pricing, a free pool-sizing call, and a stdio MCP bridge that keeps tokens out of client configs make it the better substrate for an agent that runs unattended.
Related
- 📝Clay Agent Plugins — the plugin, CLI, and skills that give agents Clay's primitives
- 📝Cargo CLI — the imperative surface on Cargo
- 📝Cargo CDK — the declarative surface, cookbooks, and project lifecycle
- 📝Cargo MCP — platform and curated servers plus the stdio bridge
- 📝Clay in ChatGPT — Clay's rep-facing connector, the MCP's original shape
We run both. Clay stays the research and curation tool I know best, and Cargo is being layered into the outbound loop one phase at a time, starting with the surfaces that cost nothing and ending with a mailbox judged against Smartlead on a real cohort.