api-verve

Instructions for using APIVerve, a marketplace that provides access to many web APIs through one account and key. It explains how to find an API operation, check its exact input format, and run it through connected tools.

In plain words
What is it for?
Use it to discover and run APIVerve API operations after confirming the service is connected.
Why use it?
It reduces the need to manage separate API accounts and prevents mistakes caused by guessing field names or allowed values.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/withoneai/one-agent-plugin/api-verve
Any agent
npx skills add withoneai/one-agent-plugin --skill api-verve
Clone the repo
git clone --depth 1 https://github.com/withoneai/one-agent-plugin

Made for: Claude Code, Codex.

Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,823 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00117 $0.05823
Opus 5 $0.00059 $0.02912
Sonnet 5 $0.00023 $0.01165
Haiku 4.5 $0.00012 $0.00582

Measured 2d ago against content hash 8fac3c865ba0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

api-verve scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

platforms/one-api-verve/skills/api-verve/SKILL.md · 304 lines

How it starts

The opening of the file, as written. The whole thing — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.

API Verve through One

APIVerve is an API marketplace and access platform that provides a single key for 300+ production APIs with consistent response schemas, unified billing, and predictable pricing, allowing developers to integrate multiple services quickly without managing separate contracts or authentication flows.

One exposes API Verve through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

  1. Find the action in the table below, or call search_one_platform_actions with platform api-verve if it is not listed.
  2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
  3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm API Verve is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real API Verve account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

Math

Action Method Path Action id
Base Conversion Using Math Calculator POST /v1/math conn_mod_def::GMa-lWruTLg::lj68DRxJTbyuIW-D3moq4Q
Basic Arithmetic Using Math Calculator POST /v1/math conn_mod_def::GMa-ljvuU_g::zgv9k6HPSiSK_1UgTi1Vqw
Evaluate Expression Using Math Calculator POST /v1/math conn_mod_def::GMa-ljhT26A::uqcB8uknSUm8osJC_fJNDQ
Factorial Using Math POST /v1/math conn_mod_def::GMa-loESIGg::az9d-IqQT7OLzC-E-fTQrw
Fibonacci Using Math Calculator POST /v1/math conn_mod_def::GMa-liWyMHg::p5W5GKP0R-qwuv5PZYecFw
GCD and LCM Using Math Calculator POST /v1/math conn_mod_def::GMa-liXI1Vg::HbYhrTOGRm-VpK1-He2XPA
Number Properties Using Math Calculator POST /v1/math conn_mod_def::GMa-luaW9Qg::1u-_saClQQqOzyc912QqJg
Prime Factorization Using Math Calculator POST /v1/math conn_mod_def::GMa-lv_dHGg::hbVuZ1cjSB6b6vsL3Qnr4Q
Single Number Operations Using Math Calculator POST /v1/math conn_mod_def::GMa-lvMhh0g::fzIQUGibSfWxC5xCdRbZhQ

Read the full file on GitHub · 304 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 304 lines · 0 tokens per session scan A 8fac3c865ba0

Subscribe to this mod's changes

api-verve is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 13d ago), licensed MIT. It adds 117 tokens to every session and 5,823 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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