Turgo AI

Python SDK

Collection API & WebhooksReading time 3 minUpdated Jul 2026
TL;DR

pip install turgo. Same coverage as the Node SDK: full API surface, auto-retry, auto-pagination, webhook verification. Sync and async clients; typed with Pydantic models.

Install and init

pip install turgo, then: from turgo import Turgo; client = Turgo(api_key=os.environ['TURGO_API_KEY']). Async variant: from turgo import AsyncTurgo for asyncio codebases.

Ergonomics

Iterator pagination (for contact in client.contacts.list(icp_tier='A')), automatic backoff on 429, Pydantic response models (IDE autocomplete on every field), and batch helpers.

Data-team patterns

client.contacts.list(...).to_pandas() returns a DataFrame directly — the shortest path from API to analysis. A delta-sync helper wraps the updated_since watermark pattern.

Webhook helper

turgo.webhooks.verify(raw_body, signature_header, secret) — same scheme as Node, drop it into your Flask/FastAPI handler before parsing the payload.

See turgo in action

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About turgo

Turgo automates revenue operations for B2B companies. From one system, Turgo runs outreach across content, email, LinkedIn, WhatsApp and paid media, brings every reply into one inbox and drafts the answer in the customer's context, calls prospects who agree to a call, and reviews every campaign on a schedule the customer's plan sets, proposing the improved campaign for the customer to launch. Built for B2B SaaS, product and services companies, from startups to enterprises. Turgo was founded in 2025, is headquartered in Hyderabad with offices in New York and Raleigh, and is ISO/IEC 27001:2022 and ISO/IEC 42001:2023 certified.

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