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Servicegraph

ServiceGraph 的品牌入口 Skill:运行时经 MCP 或 REST 接口发现数据集、查询其字段与筛选条件、免费搜索摘要行,并在用户确认成本后用额度解锁联系人与完整指标;不硬编码任何数据集、字段或价格。

nostrband
nostrband
热度 37.48
最近更新 2026-06-03 21:22:07
分类:搜索依赖:MCP 服务 / 第三方 API / 代码执行应用场景:研究 / 市场分析 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add servicegraph
Metadata
name
servicegraph
description
The branded entry point to ServiceGraph — use whenever the user explicitly names **ServiceGraph** — "use ServiceGraph to…", "what datasets does ServiceGraph have", "search ServiceGraph for…", "look this up in ServiceGraph", "pull contacts from ServiceGraph for these domains", "how many credits do I have on ServiceGraph". ServiceGraph is a multi-dataset platform of metrics-enriched business data for founders — where to launch, who to email, who to hire. This skill explains how to drive the API (api.servicegraph.co / mcp.servicegraph.co) against ANY dataset — discover what datasets exist, discover a dataset's schema and filters, search free brief rows, and unlock contact + metric detail with credits. Dataset-agnostic by design — it discovers everything through the API and never assumes which datasets or fields exist. When the user describes an intent WITHOUT naming ServiceGraph (e.g. "find a PR agency in NY"), defer to the matching specific skill (find-pr-agency, find-marketing-agency, find-law-firm, …); this skill is for explicit ServiceGraph requests and for datasets no specific skill covers yet. Skip non-US firms, consumer/personal services, and individual freelancers.
version
0.1.0
metadata
{"api_base":"https://api.servicegraph.co","mcp_url":"https://mcp.servicegraph.co"}

servicegraph

The generic way to drive ServiceGraph — a platform of metrics-enriched business datasets for founders: where to launch, who to email, who to hire. Use this skill when the user explicitly reaches for ServiceGraph. For intent-first asks that don't name the brand ("find me a CPA firm"), a specific find-* skill is the better fit — defer to it.

There is no single global catalog, and this skill hardcodes nothing about the data. It discovers everything through the API at runtime, so it stays correct as datasets are added, renamed, or re-priced. Discover the datasets from the API, discover each dataset's schema and filters from the API, then search and unlock against it. Never assume a dataset id, a field name, or a price — ask the API.

Two ways to call

Both speak to the same backend; use whichever your harness has.

  • MCP server (preferred when loaded) — https://mcp.servicegraph.co, tool names contain servicegraph. OAuth handles credentials in the harness sandbox; no token enters the model context.
  • REST — https://api.servicegraph.co, any HTTP client, Bearer-auth with a vk_… key. The universal fallback.

What the API does

Everything except unlocking is free — discover, inspect, validate, and browse as much as you like; only revealing detail costs credits.

Capability MCP tool REST Cost
Find what datasets exist (ids, sizes, prices) list_datasets GET /v1/datasets free
Discover a dataset's schema + filter fields describe_dataset, list_fields, list_field_values GET /v1/datasets/:id… free
Build & validate a filter (or draft one from plain English) check_filter, translate_intent …/check, …/translate-intent free
Search → free brief rows (identity + headline metrics) search_dataset …/search free
Read an already-unlocked row get_row GET /v1/datasets/:id/:apex free
Unlock rows → reveal contacts + full metrics unlock_rows POST …/unlocks spends credits
Check credit balance get_credit_balance GET /v1/me/credits free

The shape is always the same: discover datasets → discover the dataset's schema → search free briefs → unlock the rows the user picks. Rows are keyed by apex domain (stripe.com, not a full URL). Confirm field and value names against the API before trusting a zero-result search — the filter parser accepts invented values silently.

Auth (REST path)

Keys are vk_* tokens the user mints at https://servicegraph.co/profile/api-keys (free credits on signup). The MCP path needs none of this.

Keep the token out of the model context — never read .env/credential files into context, and route authed calls through a shell wrapper so the key flows from the environment into the Authorization header. On 401, ask the user to set SERVICEGRAPH_API_KEY (env or .env.local) and retry; don't accept the key pasted into chat.

Cost & confirmation

Only unlock_rows spends credits, at the per-row price the dataset reports — read it, don't assume it. Unlocks are atomic (a 402 charges nothing) and cached for the dataset's TTL (re-unlocking within it is free). Confirm the cost with the user before unlocking a batch, and check get_credit_balance first if it's large.