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The fastest way to ship integrations with 500+ APIs

Startup credits and Agent Readiness report cards with sources you can inspect.

Which is more popular?
Based on our record, Nango should be more popular than Sourcey. It has been mentioned 11 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | nango.dev | sourcey.com |
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In their own words, as submitted to SaaSHub.


No description of Nango yet.
Sourcey tests how agents can use software and records what companies offer startups. Read Agent Readiness report cards to see the task tested, observed result, blockers, and what remains unverified. Find startup credits, discounts, and programs with their terms, eligibility caveats, and original...
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Sourcey yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Nango and Sourcey.
Sourcey's answer:
Sourcey ties startup offers and Agent Readiness findings to source evidence and versioned releases. A report card describes one agent task, its observed result, blockers, and unknowns. Offer records keep the vendor’s terms and eligibility caveats visible. The public record is free to read through the website, JSON, API, and MCP.
Sourcey's answer:
Founders comparing startup offers, developers evaluating whether an agent can complete a specific task with a service, and agents that consume the public record through HTTP or MCP.
Sourcey's answer:
Choose Sourcey when you need the original source behind an offer or a task-level account of what an agent could actually do. It shows uncertainty and release history alongside the finding. Sourcey does not apply for offers or redeem credits on a founder’s behalf.
Share your experience with using Nango and Sourcey. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Nango lets you build Slack and Microsoft Teams integrations for AI agents inside customer-facing products. It supports 900+ APIs and 6,000+ reusable templates, with auth, actions, webhooks, and continuous syncs running on the same... - Source: dev.to / 10 days ago
Nango connects your AI agent to 1000+ APIs with 7,000+ pre-built tool calls and managed auth behind each one. You can use the catalog as it ships, then customize what you need with code on infrastructure built for scale. Hundreds of AI... - Source: dev.to / about 1 month ago
In this guide you will build an AI agent that reads pitch-deck emails from Gmail, judges each deck against a fixed investment thesis with an LLM, and posts a Slack message when a deck is a fit. LangGraph orchestrates the steps; Nango... - Source: dev.to / about 1 month ago
For example, from the Sourcey agent-readiness release Release_id sha256:371cbf65650abf5756c967b1f1da9df607be4b1bb0c0b93aaf2dcf0a36e75d3e (artifact_sha256:67c4edef061ca4ea60cef1e1bc246d2ce0b7d6b12e227c0811d7405d3d0a63ac, Effective... - Source: dev.to / 2 days ago
Doing all this by hand for every candidate got old fast, so now I lean on Sourcey, a registry that tracks exactly this. It publishes report cards that grade whether an agent can actually sign up, pay, and operate a service on its own,... - Source: dev.to / 14 days ago
Machine-readable acceptance criteria are worth more to an agent than documentation quality. A page that says we accept X, with a named artifact and its schema, is worth ten pages of tutorials, because it lets the agent verify a claim... - Source: dev.to / 29 days ago
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