Build Outcomes

Most integrations start the wrong way round: you pick a search API, a scraper, and an LLM, sign up for each, wire in three keys, and glue them together — before you’ve solved anything. The Catalog flips it. You describe the outcome you want, attach a budget, and your agent uses the Nevermined Catalog to discover the building-block services and chain them into a solution. No per-vendor signup, no wiring — each service settles per call against a budget you cap.

This is the composition mindset: an AI service is a building block, not a destination. A real problem — “tell me everything the web knows about this person” — is several blocks (search, scrape, capture, synthesis) the Catalog proposes and the Router pays for, one call at a time.

Services are building blocks

The old way

Choose a vendor per capability. Create an account with each. Manage a key per account. Write the glue that calls them in order. Repeat for the next problem.

The Catalog way

State the outcome and a budget. Your agent searches the Catalog for each block, proposes a chain of real services, and the Router pays per call — no accounts, no keys, no glue.

The categories are the block types — read live from the Catalog, never a hard-coded list. Today they include: Search & Research · Web Scraping & Automation · Data & Enrichment · Crypto & Blockchain · Finance & Markets · AI & Media · Sales & Business Intelligence · Communication & Voice · Infrastructure & Compute · Social & Creator · Identity & Compliance · Weather · Travel Browse them in Discovering AI Services, or query the live set yourself — the last section shows how.

How an outcome comes together

State the problem and a budget

One prompt: the result you want, and the most you’ll spend getting it. The budget is the guardrail — the agent works within it.

The agent searches the Catalog (free)

Discovery needs no key and costs nothing. The agent breaks the problem into blocks and searches for each — search, scrape, synthesis — reading real slugs, prices, and health.

The Catalog proposes a chain

Candidate services per block, ranked and priced. This is the “solution” — a concrete set of services that, chained, produce the outcome. You can see it before a cent is spent.

Approve a cap once, and it runs

Approve a spending cap, and the Router pays each call within it. Connecting and paying is covered in Using the Catalog from your web assistant and from a harness.

Everything up to the proposal is free and reproducible right now — that’s what this page’s prompts and queries exercise. Turning a proposal into a paid run needs a connected harness and a funded budget.

Prompts you can paste

Paste any of these into a harness connected to the Catalog — Claude Code, Claude.ai or ChatGPT with the Nevermined connector, or any MCP host. Each states an outcome and a budget; the agent discovers the building blocks and proposes the chain before spending. The services and prices under each are what the Live Catalog returns today — verified, not illustrative.

Prices are per call, as listed today — the Catalog is live and prices drift, so your harness reads the current label. Totals aren’t fixed: a run costs the sum of the calls the agent actually makes, always bounded by the budget you set.

1. Everything the open web knows about a person

Use the Nevermined Catalog to design and run a workflow that, given a
person's name, compiles a report of everything findable about them online
from multiple sources, then hand me the report.
Budget: $1.00. Browse the Catalog first (discovery is free), propose the
chain of services before spending, and stay within budget.

What the Catalog proposes — four blocks, four real services:

Building block	Category	Example service (live)	Per-call price
Web search	Search & Research	`orth-seltz` — Seltz	$0.00625
Web scraping	Web Scraping & Automation	`serper-scrape` — Serper Scrape	$0.02
Page capture	Web Scraping & Automation	`screenshotone` — ScreenshotOne	$0.055
AI synthesis	AI & Media	`deepseek` — DeepSeek	per-model

The agent searches, scrapes the top results, captures the pages, and has the LLM write the report — each call drawn from your $1.00 cap.

2. A daily brief on a crypto position, priced and sourced

Use the Nevermined Catalog to design and run a workflow that gives me a
daily brief on my BTC and ETH position: the current price, the 24-hour
move, and the headlines driving it, each with a source.
Budget: $0.50. Discover and propose the services before paying, and stay
within budget.

What the Catalog proposes:

Building block	Category	Example service (live)	Per-call price
Token prices	Crypto & Blockchain	`coingecko-via-mpp` — CoinGecko · `coinstats-app` — CoinStats	$0.06 ·$ 0.001
News & sources	Search & Research	`serper` — Serper · `you-com` — You.com	$0.002–$ 0.006 · $0.005
AI synthesis	AI & Media	`deepseek` — DeepSeek (or any listed LLM)	per-model

3. Qualify an inbound lead before you reply

Use the Nevermined Catalog to design and run a workflow that, given a work
email address, enriches the person and their company and tells me whether
they're worth a call, with a short rationale.
Budget: $0.50. Browse the Catalog and propose the chain first, then stay
within budget.

What the Catalog proposes:

Building block	Category	Example service (live)	Per-call price
Contact & company enrichment	Data & Enrichment · Sales & Business Intelligence	`hunter-mpp` — Hunter · `ocean-io` — Ocean.io · `apollo-api-via-mpp` — Apollo	$0.003–$ 0.023 · $0.01 ·$ 0.01–$0.05
Company page scrape	Web Scraping & Automation	`serper-scrape` — Serper Scrape · `firecrawl-tempo-mpp` — Firecrawl	$0.02 ·$ 0.002
Score & rationale	AI & Media	any listed LLM (`deepseek`, `openai`, …)	per-model

More outcomes, same shape

Every one of these is a single prompt with a budget — no wiring, no per-service integration:

Watch a competitor page and report what changed — Web Scraping (serper-scrape, screenshotone) + AI synthesis.
Check a product batch against public safety recalls — Data & Enrichment + AI synthesis.
Find the cheapest venue to execute a trade right now — Crypto & Blockchain + Finance & Markets (coingecko-via-mpp, crypto-data).

See what the Catalog proposes

The discovery step is public and free — no key, no budget, no spend. Run these against production and you’ll see the same services a harness would propose. All four are verified working as written. Browse the whole catalog, see the real shape of a listing (.total is the live count):

curl -s https://nevermined.app/catalog/ai-catalog.json | jq '{total, first: .services[0]}'

List the categories through the Catalog MCP server (Streamable HTTP, stateless — one POST, no key):

curl -s -H "Content-Type: application/json" \
     -H "Accept: application/json, text/event-stream" \
     -X POST https://mcp.live.nevermined.app/mcp \
     -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_categories","arguments":{}}}' \
  | jq -r '.result.content[0].text' | jq .

Find the building blocks for an outcome — one search per block, top 3 hits each:

for q in "web search" scrape screenshot chat; do
  curl -s -H "Content-Type: application/json" \
       -H "Accept: application/json, text/event-stream" \
       -X POST https://mcp.live.nevermined.app/mcp \
       -d "{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"tools/call\",\"params\":{\"name\":\"search_services\",\"arguments\":{\"query\":\"$q\"}}}" \
    | jq -r '.result.content[0].text' \
    | jq --arg q "$q" '{query:$q, total, top:[.services[0:3][]|{slug,title,protocol,priceLabel}]}'
done

Read one service’s callable shape — endpoints, method, and the exact arguments to pay it:

curl -s -H "Content-Type: application/json" \
     -H "Accept: application/json, text/event-stream" \
     -X POST https://mcp.live.nevermined.app/mcp \
     -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_service","arguments":{"slug":"orth-seltz"}}}' \
  | jq -r '.result.content[0].text' | jq '.requestShape'

Search is a whole-substring match on a service’s title or short description, and it is order-sensitive — so query with single words or a known substring. web search finds services and search web finds none; weather finds four and weather forecast finds none. Narrow with the category and tag filters rather than by stacking words. The results also carry each service’s healthStatus (operational / unverified) and recent uptime, so an agent can prefer a service that’s actually up.

Turn a proposal into a run

The proposal is free; executing it — paying each call within your cap — is the connect-and-pay flow:

From your web assistant

Connect the Catalog to Claude.ai, ChatGPT, or LangSmith Fleet and approve a cap once.

From a harness

The code-free playbook for driving discovery and payment from your own agent.

Catalog MCP

The pay_service tool, the spending Delegation, and every refusal code.

Payment ledger

Read back exactly what each call cost and how much of the cap is left.

Learn

Build

Payments

Nevermined Catalog

Solutions

Organizations

Integrations

Payment Patterns

Components

Specs

Services are building blocks

The old way

The Catalog way

How an outcome comes together

Prompts you can paste

1. Everything the open web knows about a person

2. A daily brief on a crypto position, priced and sourced

3. Qualify an inbound lead before you reply

More outcomes, same shape

See what the Catalog proposes

Turn a proposal into a run

From your web assistant

From a harness

Catalog MCP

Payment ledger

​Services are building blocks

The old way

The Catalog way

​How an outcome comes together

​Prompts you can paste

​1. Everything the open web knows about a person

​2. A daily brief on a crypto position, priced and sourced

​3. Qualify an inbound lead before you reply

​More outcomes, same shape

​See what the Catalog proposes

​Turn a proposal into a run

From your web assistant

From a harness

Catalog MCP

Payment ledger

Services are building blocks

How an outcome comes together

Prompts you can paste

1. Everything the open web knows about a person

2. A daily brief on a crypto position, priced and sourced

3. Qualify an inbound lead before you reply

More outcomes, same shape

See what the Catalog proposes

Turn a proposal into a run