SOME1
The new strategic advantage isn’t buying AI — it’s controlling the stack it runs on. SOME1 forward-deploys a senior AI-engineering team to build custom software around your processes, with full control and governance over your models, harnesses and infrastructure. Shipped in weeks. Yours to govern.
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Last probed Sep 14, 2026 · mcp.some1.ai
12tools discovered
List contracts you can publish against
START HERE when someone wants to sell a capability. A contract is the typed job spec — its input schema, output schema and the deterministic validator that decides whether a run gets paid. You publish AGAINST a contract; you do not invent one per offering, because buyers shop by contract and need interchangeable suppliers. Read the returned contracts to the human and work out which one their capability actually satisfies. If none fits, say so — that is a real answer, and the contract needs addin
Check what this account still needs before it can sell
Report where the human is in the publishing journey: whether their org is an approved publisher, whether Stripe Connect is attached (without it activation is REFUSED, because Some1 would have nowhere to send their 80%), what they have already listed, and each listing's status. Call this before and after any publishing step so you can tell them what is left rather than guessing. ECONOMICS: buyers prepay; Some1 keeps 20% of every settled execution and the publisher receives 80%, paid out through S
Store a credential Some1 sends when calling the capability
If the capability's endpoint needs a token, store it here and Some1 injects it as a header on every call. ASK THE HUMAN whether their endpoint requires auth before publishing — a listing whose endpoint 401s will fail conformance and they will not understand why. The value is WRITE-ONLY: it goes into Supabase Vault and neither you, nor this API, nor support can read it back, so tell them to keep their own copy. Never print the value back to the human in your reply, and never store it anywhere els
Set or change what a capability charges
Price a listing from MEASURED cost, never from a guess. Before calling this, help the human work out what ONE run of their capability actually costs them — model tokens AND any metered dependency (search, scraping, storage). Metered dependencies are the classic trap: they are billed separately from inference and are easy to leave out, which produces a listing that looks profitable and loses money on every sale. GUIDANCE: list at roughly 2.5x the measured floor. Some1 takes 20%, so the publisher
Check whether a listing has passed the fixture suite
Conformance is the gate between "published" and "sellable": Some1 runs the contract's fixture suite against the real endpoint and an offering cannot go active until it passes. Use this to report progress and, when it fails, to tell the human WHICH fixtures failed and why — the report names each one. A failure is usually the endpoint being wrong, needing auth, or returning a shape the contract does not accept, and those are all fixable.
Search capabilities
Search the Some1 exchange for executable capabilities (active offerings). Filter by free-text query (case-insensitive match on contract name + display name; v1 filters in-process over the active list — Postgres FTS is deferred) and/or contract, sort by price/latency/success. Each result includes price_micro, `model` (the model powering it, e.g. "openai/gpt-5-nano" — null means the capability does no inference) with its model_provider, a 30-day reliability scorecard, and the publisher. The model
Describe capability
Full manifest for one active offering: `model` — the model that actually powers it (e.g. "openai/gpt-5-nano", "anthropic/claude-opus-4.7-fast") plus model_provider — then contract (name@major) with complete input/output JSON Schemas, price_micro, reliability scorecard, publisher org, and endpoint kind. READ THE MODEL FIRST: it is the single largest determinant of both what this capability costs and how deep its answers go — the spread between a small open model and a frontier one is roughly 1000
Get quote
Validate an input against the contract input schema and lock a price: returns a quote_id redeemable with execute_capability for 10 minutes. On invalid input the error text lists the exact schema violations so you can self-correct and retry. Works WITHOUT an API key (a quote reserves nothing), but an anonymous quote is a price check only — it comes back with redeemable=false, so mint a key with create_agent_account and re-quote before executing. Executions are charged from your prepaid Some1 cred
Execute capability
Execute a capability and pay for it from prepaid credits: either redeem a quote_id, or run directly with offering_id + input + max_price_micro (exactly one of the two forms). Reserves (holds) the price, starts the execution, then waits up to wait_seconds (default 30, max 60) for completion. If it finishes in the window you get the full execution detail (validated output as structured content on settled, plus the signed receipt_id); otherwise { execution_id, status } to poll via get_execution. Re
Get execution
Fetch the current state of an execution: status, validated output (when settled), error (when failed/refunded), attempts, timings, and the receipt_id of the signed receipt proving what ran and what was charged from your prepaid credits. Executions are charged from your prepaid Some1 credits (price_micro = micro-USD, 1,000,000 = $1), and every settled result carries a verifiable cryptographically signed receipt (receipt_id).
Cancel execution
Best-effort cancel: a still-reserved execution is refunded (the credit hold is released back to your prepaid balance); anything already running or finished is untouched and its current status is returned. Settled executions keep their signed receipt (receipt_id). Executions are charged from your prepaid Some1 credits (price_micro = micro-USD, 1,000,000 = $1), and every settled result carries a verifiable cryptographically signed receipt (receipt_id).
Create agent account
Mint your own Some1 agent account in ONE call — no human, no signup form, no API key needed to call this. You get back: agent_id (your org on the exchange), api_key (shown ONCE — store it and send it as `Authorization: Bearer <api_key>` on every later request), a trial credit of 500000 micro-USD ($0.50, enough for roughly a handful of executions), your wallet balance, and the mcp_url/api_url to keep using. TRIAL CREDITS ARE LIMITED AND NOT REFILLED: when they run out, execute_capability returns
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
Directory coverage for brandsThe new strategic advantage isn’t buying AI — it’s controlling the stack it runs on. SOME1 forward-deploys a senior AI-engineering team to build custom software around your processes, with full control and governance over your models, harnesses and infrastructure. Shipped in weeks. Yours to govern.
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
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MCPBundles probed 12 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
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