Percipient.ai
Percipient.ai is a Silicon Valley artificial intelligence, machine learning and computer vision company, founded in 2017 by Founder & CEO Balan Ayyar, that builds Mirage - an intelligence analysis platform for United States national security and intelligence missions. Mirage performs faster-than-real-time exploitation of unstructured multimedia, visual and multi-INT data across three modules: an FMV module for full motion video, still imagery and multi-INT sensor data supporting identity creation, network discovery, pattern-of-life analysis and geo-correlation; a cloud GSM geospatial module providing geo-fenced alerting, change detection, custom object detection and temporal analysis; and a VRM vehicle recognition module delivered as a mobile appliance for mobile and fixed surveillance with home-station cross-mission correlation. The platform is deployed both at the edge for live stream ingest and in the cloud at petabyte scale, and has been operationally procured by organizations in the US Intelligence Community and the National Geospatial-Intelligence Agency. Percipient.ai sells Mirage through federal contracting vehicles and is listed as Awardable on the CDAO Tradewinds Solutions Marketplace. It operates no public developer program: as of August 2026 it publishes no API, developer portal, API reference, SDK or machine-readable contract of any kind.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Percipient.ai the way a machine reads it — 3 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Percipient.ai scores 3.9/100 (minimal), with a separate agent-readiness read of 3/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Why this profile is thin
Percipient.ai sells Mirage as a deployed analyst platform to US Government and intelligence customers, not as an integrable product: the entire public site is four WordPress pages (home, About Mirage, Meet Our Team, News) with no developer, docs, API or sign-up link anywhere in the navigation or footer, and the only other live host, the deployed Mirage FMV application at fmv-mirage.global.percipient.ai, serves a login SPA with a 404 on every contract and /.well-known/ path.
This is an honest zero, not a gap in our research. Percipient.ai does not appear to expose an API, so there is nothing here for us to index and nothing for them to fix.
What we probed
https://percipient.ai/→ HTTP 200https://percipient.ai/openapi.json→ HTTP 404https://percipient.ai/.well-known/api-catalog→ HTTP 404https://fmv-mirage.global.percipient.ai/→ HTTP 200https://fmv-mirage.global.percipient.ai/openapi.json→ HTTP 404
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-01 · rubric v0.18.0
Put this on your own site. The badge is drawn live from Percipient.ai's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/percipient-ai/"
title="Percipient.ai on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/percipient-ai.svg"
alt="Percipient.ai Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/percipient-ai/)<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/percipient-ai/"
title="Percipient.ai on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/percipient-ai/card.svg"
alt="Percipient.ai Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Percipient.ai
Each block below is one kind of artifact we hold for Percipient.ai. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Percipient Ai Rate Limits
RATE LIMITSSecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Percipient.ai — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/percipient-ai · machine-readable index on apis.io
This is an independent, third-party profile of Percipient.ai, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.