Cloro vs Exogram

Cloro and Exogram are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Cloro

Cloro is a single API that sits in front of ChatGPT, Perplexity, Copilot, Gemini, AI Mode, and Google AI Overviews, returning structured JSON with the text, markdown, HTML, parsed sources, citations, search queries, and shopping cards that the provider UIs surface but their direct APIs omit. A single request, a single auth token, a single response schema across providers — so your team stops maintaining six integration layers and one provider's breaking change stops your entire pipeline. The free tier caps at 500 credits per month with one concurrent job, which is enough to validate a use case but not enough to run production monitoring at any real keyword volume. Teams tracking hundreds of queries across multiple providers will exhaust that ceiling quickly and step up to a paid tier. Self-hosting is not an option.

Exogram

Exogram is an execution governance layer that intercepts AI agent actions — payments, database writes, customer emails, record updates — and applies a policy decision before anything hits your infrastructure. The vendor describes a four-way enforcement decision: allow, deny, escalate, or log. Policy rules are checked at runtime, not after the fact, which means a $25,000 invoice approval blocked against a $1,000 limit never reaches your payment system. The immutable audit trail is positioned for SOC 2, HIPAA, and financial compliance workflows. The tool is not itself an agent runner — it assumes you already have an agent; it governs what that agent is allowed to touch.

Attribute	Cloro	Exogram
Pricing	Paid	Paid
Free trial	No	No
Open source	No	No
Has API	Yes	Yes
Self-hosted option	No	No
Platforms	—	SaaS, Cloud
Released	—	2025-05
Pros	Single API covers ChatGPT, Perplexity, Copilot, Gemini, AI Mode, and AI Overview under one auth token and one response schema, so you stop writing and maintaining separate integrations for each provider every time one changes its API surface. Returns parsed sources, citations, search queries, and shopping blocks — the structured data the provider UIs show but direct APIs omit — which means your SEO analysis reflects what users actually see rather than a stripped-down completion. Response format is selectable (markdown, text, or HTML) with shopping cards and source positions included in the same response, so downstream parsing stays consistent regardless of which engine answered the query. Credit-based pricing scales with volume and the per-credit rate drops at higher tiers, so teams with predictable query volume can forecast costs in a way token-based provider pricing makes impossible. Python and TypeScript SDKs ship with the API, so integration into an existing data pipeline or monitoring script is a client instantiation and a method call rather than a custom HTTP layer.	Runtime policy enforcement at the tool-call boundary, so unauthorized payments and database mutations are blocked before they execute rather than flagged after the damage is done. Four-way enforcement decisions — allow, deny, escalate, log — which means regulated workflows get a human review step without building a custom approval queue on top of your agent stack. Immutable audit logs positioned for SOC 2 and HIPAA compliance, so teams in regulated industries have a defensible record of every action an agent attempted and what decision was returned. Pre-built integrations with LangChain, CrewAI, AutoGen, Vercel AI SDK, and LlamaIndex, so teams already running these frameworks add a governance layer without rewriting their agent code. An open protocol spec (EAAP) published as RFC-0001, so teams who need to audit, extend, or independently verify the governance model are not working against a black-box contract.
Cons	The free tier allows only one concurrent job, so any monitoring workflow that runs queries in parallel hits a queue immediately — teams doing batch keyword tracking across providers will exhaust both the concurrency limit and the 500-credit monthly cap within a single test run and must commit to a paid tier before real work begins. No self-hosted deployment option exists, which means every query routes through Cloro's infrastructure — teams operating under data residency requirements or internal security policies that prohibit third-party intermediaries handling query content cannot use this tool and will revert to building and maintaining direct provider integrations themselves. Grok is listed as unavailable in the provider matrix, so teams whose analysis specifically requires X's AI search responses get no coverage here and must build a separate integration or switch to a tool that includes it. The credit model creates a layer of cost uncertainty at scale: each provider and query type consumes credits at rates that may vary, and teams running high-frequency monitoring across multiple engines can burn through tiers faster than a simple per-query estimate suggests — budget modeling requires testing actual consumption against real workloads before committing to a tier.	Exogram governs actions but does not orchestrate agents — teams that need branching logic, memory, or coordination between multiple agents still maintain a separate orchestration layer, which means adding Exogram adds a second system to debug when an escalation fires unexpectedly. No self-hosted deployment option is described on the vendor page, which means teams whose compliance requirements mandate on-premises data residency — common in financial services and healthcare — cannot use Exogram without routing agent traffic through external infrastructure; those teams move to building policy enforcement into their own API gateway instead. The tool launched in approximately May 2025, so production case studies at scale are not yet publicly available; teams evaluating for high-volume payment workflows are working from architecture documentation and demos rather than documented incident records from comparable deployments.

Bottom line

Cloro and Exogram are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Cloro and Exogram?

Cloro is Paid, while Exogram is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Cloro better than Exogram?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Cloro vs Exogram: which should I pick?

Pick Cloro if its pricing model, openness, or platform fit matches your constraints; pick Exogram otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.