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Unified.to is a real-time unified API and MCP server for AI-native B2B SaaS products that need live access to customer data across hundreds of third-party integrations โ without building or maintaining individual connections.
How it works Every API call hits the source system directly. No batch syncs. No cached snapshots. No customer data stored on Unified's side. Data is always current, always fetched live โ making it the right foundation for AI agents, RAG pipelines, and product features where stale data breaks things.
Fully unified โ not just abstracted Most unified APIs normalize data models but leave everything else fragmented. Unified.to unifies the entire surface:
Endpoints Data models Webhooks Authorization Permission scopes
One consistent interface across all 450+ integrations in 25 categories โ CRM, HRIS, ATS, accounting, payments, marketing, messaging, storage, and more.
Virtual webhooks For integrations without native webhook support, Unified.to detects changes and delivers events directly โ same interface, same event model, no polling logic required in your application.
MCP server for AI agents AI agents built on Claude, GPT, Gemini, and other LLMs can read and write to CRMs, HRIS, ATS, accounting, and marketing integrations via Unified's MCP server โ with structured, authorized access to real customer data across multiple integrations simultaneously.
Security and compliance Customer data is never cached or stored. All data in transit is encrypted (TLS 1.2+). SOC 2 Type II, GDPR, HIPAA, CCPA/CPRA, and PIPEDA compliant. US, EU, and AU data regions available.
Pricing Usage-based. No per-connection fees. No setup costs. Credentials remain portable โ migrate or scale without lock-in.
Who it's for B2B SaaS product teams shipping customer-facing integrations, and AI-native teams building agents or copilots that need real-time, authorized access to customer data across multiple SaaS categories.
Unified.to
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Unified.to's answer
Unified.to is the only unified API and MCP server built on a stateless, zero-data architecture. Every request hits the source system live โ no batch syncs, no cached snapshots, no customer data stored on Unified's side.Most unified APIs normalize data models but leave everything else fragmented. Unified.to unifies the entire surface: endpoints, data models, webhooks, authorization, and permission scopes โ across 450+ integrations in 25 categories.For integrations without native webhook support, virtual webhooks detect changes and deliver events directly using the same interface and event model โ no polling logic required in your application.The result: real-time, clean, normalized data that's ready for AI agents, RAG pipelines, and product features where stale data breaks things.
Unified.to's answer
Most unified APIs sync customer data into their own infrastructure and serve reads from cached snapshots. That introduces sync lag, stale data, and additional compliance surface area โ all problems that compound when you're building AI-native features or agents.
Unified.to takes the opposite approach. Data is never stored or cached. Every call returns live data fetched directly from the source. That eliminates an entire class of bugs and audit questions.
Beyond architecture, Unified.to unifies more than just data models โ auth, webhooks, permission scopes, and endpoints are all normalized across every integration. Competitors often handle one or two of these; Unified.to handles all of them.
Pricing is usage-based with no per-connection fees, no setup costs, and portable credentials. You're not locked in at the infrastructure level.
Unified.to's answer
B2B SaaS product teams whose integration roadmap keeps growing โ CRM-adjacent tools, HR and people ops products, ATS, accounting, support, and IT products. Teams that need to ship customer-facing integrations in days, not quarters, without building or maintaining individual API connections.
AI-native product and engineering teams building agents, copilots, or RAG pipelines that need real-time, authorized access to customer data across CRM, HRIS, ATS, accounting, marketing, and other SaaS categories simultaneously. Unified.to's MCP server gives AI agents structured read and write access to customer data without bespoke integration logic per provider.
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This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 5 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 6 days ago
Fallback chains โ og:title โ twitter:title โ- SSRF protection โ if you fetch user-supplied URLs, you MUST block
localhost, RFC-1918 ranges, and internal hostnames, or your preview endpoint is a proxy into your own infrastructure- Caching โ you do not want to re-fetch a URL on every render
- Rate limiting โ a public...
- Source: dev.to / 8 days ago
$ git pull Remote: Repository not found. Fatal: repository 'https://github.com//.git/' not found. - Source: dev.to / 10 days ago
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / 12 days ago
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