# Filternode

*/Startups/Filternode*

## Startup Overview

This edge-native security layer intercepts and drops malformed API payloads before they reach backend infrastructure. Built for high-throughput environments, the system validates incoming requests against precise schemas. It immediately discards anomalous traffic so that internal servers only process clean data.

Platform engineering teams use the service to shield internal microservices from unexpected inputs. Traditional firewalls struggle to inspect complex payloads at volume, often letting bad requests consume expensive compute or trigger cascading crashes. Pushing validation out of the application code frees developers from writing and maintaining defensive parsing logic.

Legacy API gateways and generic solutions like Cloudflare WAF or AWS Web Application Firewall introduce heavy processing overhead. This platform bypasses those bottlenecks through zero-latency execution directly at the network edge. Engineers configure exact filtering rules in their codebases, deploying a highly distributed inspection layer that catches errors without slowing down legitimate traffic.

## Startup Founding Hypothesis

**Approach**: that filters malformed API payloads before they reach backends
**Competitors**:
- [Cloudflare WAF](/Competitors/Cloudflare_WAF)
- [AWS Web Application Firewall](/Competitors/AWS_Web_Application_Firewall)
- [Legacy API Gateways](/Competitors/Legacy_API_Gateways)
**Differentiator2x2**: developer-configured and zero-latency, executing directly at the network edge

## Startup Solution Coordinate

**Solution**: [Edge Payload Filter](/Software/Edge_Payload_Filter)

## Startup Position2x2

```mermaid
quadrantChart
x-axis Ops Managed --> Developer Configured
y-axis High Latency Centralized --> Zero Latency Edge
quadrant-1 Edge Native Dev Tool
quadrant-2 Edge Security Managed
quadrant-3 Legacy Gateways
quadrant-4 Centralized Dev Tool
Legacy API Gateways: [0.15, 0.25]
AWS Web Application Firewall: [0.45, 0.45]
Cloudflare WAF: [0.30, 0.85]
Filternode: [0.85, 0.90]
```

## Startup Offer

**Proof**:
- Aim to eliminate up to 30% of wasted backend compute by dropping malformed traffic at the edge.
- Targeting zero downstream application crashes caused by unexpected JSON/XML payload structures.
- Designed to handle 10,000+ requests per second per node with flat, sub-millisecond validation overhead.
**Tiers**:
- Name: Developer Sandbox · Price: Free up to ~1M requests/mo · Inclusions: Basic JSON schema validation, shared edge nodes, standard OpenAPI ingestion, and community support for individual developers testing concepts.
- Name: Production Traffic · Price: ~$0.15–$0.30 per 1M validated requests · Inclusions: Custom schema validation, automatic malformed payload rejection, unlimited custom rulesets, and email support for live application backends.
- Name: Dedicated Edge · Price: ~$1,500–$4,000/mo flat base + bulk usage rates · Inclusions: Dedicated edge infrastructure, isolated WebAssembly execution, custom rate limiting, and guaranteed latency SLAs for enterprise data pipelines.
**Guarantee**: Filternode guarantees edge validation will not exceed specified latency thresholds; if payload filtering adds more than 2 milliseconds of average overhead, the current month's processing fees are fully credited.
**Business Function**: ProvideService
**Objection Handlers**:
- Latency concerns: Filternode is designed to execute via compiled WebAssembly directly at the network edge, avoiding round-trips and keeping validation overhead strictly under 1 millisecond.
- Overlap with existing WAF: While cloud WAFs block known security exploits, Filternode strictly enforces developer-defined API payload schemas to catch application-layer structural errors.
- Configuration overhead: The platform is intended to automatically ingest existing OpenAPI specifications, requiring zero manual rule creation to start dropping malformed requests.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Technical and authoritative, prioritizing exact protocol definitions over marketing jargon.
**Tagline**: Stop malformed API payloads at the network edge.
**Icon Concept**: sieve
**Palette Intent**: electric-signal
**Visual Identity**: High-contrast terminal green and absolute black dominate the palette, paired with monospaced typography to reflect strict command-line environments.
**Archetype Reference**: the-ruler

## Startup Buyer Chain

**Chain**: B2B → Platform Engineer → Backend Engineering Team
**Gtm Motion**: Bottom-up acquisition through developer self-serve deployment on a single high-risk API route. Expansion triggers automatically as teams route higher volumes of API traffic through the edge nodes and extend schema validation across additional microservices.
**Agent Channel**: Designed for listing in the Terraform Provider Registry and the Anthropic Model Context Protocol (MCP) tool catalog, enabling infrastructure-as-code agents to discover the capability and automatically provision network-edge filtering rules.
**Primary Channel**: Organic technical search targeting queries for specific payload validation patterns (e.g., 'drop malformed JSON before origin' or 'WAF alternative for API schema validation'), driving traffic to interactive edge-configuration documentation.

## Startup Customer Journey

```mermaid
flowchart LR; A[Search Engine] --> B[Interactive Documentation]; B --> C[Terraform Provider]; C --> D[Sandbox Environment]; D --> E[Edge Node]; E --> F[Microservice Architecture]; F --> G[Enterprise Pipeline]; G --> H[Developer Community];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- A 14-day shadow-mode pilot routing 10 percent of API traffic through the edge nodes, aiming to prove the system correctly identifies malformed payloads with under 2 milliseconds overhead without impacting live users.
- A 30-day production pilot with a single high-volume microservice, aiming to demonstrate a measurable drop in backend compute utilization by dropping invalid requests at the network edge.
- A one-week integration test using existing OpenAPI specifications, aiming to validate that the platform automatically ingests the schemas and builds accurate custom rulesets with zero manual configuration.
**Target Metrics**:
- Target: 30 percent reduction in wasted backend compute utilization
- Aim: Under 2 milliseconds of average validation latency overhead per request
- Target: 100 percent elimination of downstream application crashes caused by unexpected JSON payload structures
- Aim: 10,000 validated requests per second processed per edge node without latency degradation
**Target Case Studies**:
- Mid-sized SaaS backend engineering team: Target a case study demonstrating a reduction in wasted cloud compute costs by rejecting malformed payloads at the edge before they reach core servers.
- Enterprise data pipeline architect: Target a case study proving the prevention of downstream data warehouse corruption and API crashes caused by invalid JSON structures from third-party integrations.
- High-traffic consumer app developer: Target a case study validating the ability to ingest massive API traffic spikes securely while enforcing custom schema rulesets with sub-millisecond latency overhead.
**Testimonial Targets**:
- VP of Engineering: The sentiment should highlight how automatic OpenAPI ingestion made setup instant, requiring zero manual rule creation to start blocking bad traffic.
- Lead Backend Developer: The sentiment should focus on the relief of no longer dealing with application crashes from unexpected payload shapes, trusting the edge validation.
- Cloud Infrastructure Manager: The sentiment should praise the flat, sub-millisecond validation latency, proving that the WebAssembly edge execution does not slow down legitimate API traffic.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Cloudflare or AWS integrates developer-defined deep payload validation natively into their WAF products, obsoleting the standalone edge tool. · Mitigation Status: unmitigated
- Severity: high · Description: False positive payload rejections drop legitimate API requests, destroying developer trust and causing immediate tool removal. · Mitigation Status: in-progress
- Severity: moderate · Description: Strict execution time limits on edge compute providers constrain the parsing of large or deeply nested API payloads. · Mitigation Status: in-progress
- Severity: low · Description: Enterprise compliance requirements mandate on-premise payload inspection, excluding the edge-based tool from high-value contracts. · Mitigation Status: unmitigated

## Startup Competitors

- [Cloudflare WAF](/Competitors/Cloudflare_WAF) — Incumbent Edge
- [AWS Web Application Firewall](/Competitors/AWS_Web_Application_Firewall) — Cloud Provider WAF
- [Legacy API Gateways](/Competitors/Legacy_API_Gateways) — Status Quo
- [Akamai API Security](/Competitors/Akamai_API_Security) — Incumbent
- [Fastly Signal Sciences](/Competitors/Fastly_Signal_Sciences) — Edge WAF
- [Custom Backend Middleware](/Competitors/Custom_Backend_Middleware) — DIY

## Startup Solution Stack

- [Payload Validation Service](/Services/Payload_Validation_Service) — Service-as-Software
- [Schema Inspection Agent](/Agents/Schema_Inspection_Agent) — Agent
- [Rule Configuration API](/Software/Rule_Configuration_API) — Software
- [Edge Deployment SDK](/Software/Edge_Deployment_SDK) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the architect of a resilient system, not an on-call firefighter
- **Want**: to prevent malformed API payloads from ever reaching downstream microservices
- **Identity**: the platform engineer managing high-traffic API backends
**Plan**:
- Step: Upload OpenAPI · Detail: Import your existing API specifications to instantly define the validation rules for your traffic.
- Step: Validate · Detail: Enable edge-level rejection to drop schema-violating requests before they touch your cloud infrastructure.
- Step: Monitor · Detail: Review the dashboard to see precisely how many malformed payloads were blocked at the source.
**Guide**:
- **Empathy**: Does your ingress gateway still permit structural garbage to spike your backend CPU usage?
**Problem**:
- **Villain**: payload pollution
- **External**: Malformed JSON and schema violations trigger application crashes and waste compute across AWS Lambda and Kubernetes clusters.
- **Internal**: You feel like you are babysitting brittle code instead of building scalable infrastructure.
- **Philosophical**: Why should backend resources pay the price for structural errors that could be solved at the network edge?
**Success**: Your backend services process only valid data, reducing compute overhead by 30% and eliminating structural crashes.
**One Liner**: What if structural API errors never reached your servers? Filternode drops malformed payloads at the network edge, protecting your backend compute and stability.
**Positioning**:
- **So That**: drop malformed traffic before it hits the backend
- **Unlike**: AWS Web Application Firewall
- **For Whom**: platform engineers at high-traffic companies
- **Category**: Edge API Validation Service
**Call To Action**:
- **Direct**: Upload OpenAPI spec
- **Transitional**: Explore edge schema
**Failure Stakes**:
- Wasted backend compute costs
- Unnecessary application-layer crashes
- Developer hours spent debugging logs
**Transformation**:
- **To**: free to scale infrastructure, no longer debugging malformed JSON
- **From**: a developer fixing crashes in CloudWatch logs
**Controlling Idea**: Backend resources should only process valid, schema-compliant traffic.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if structural API errors never reached your servers? Filternode drops malformed payloads at the network edge, protecting your backend compute and stability.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 12007b869605dabe

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Edge API Validation Service for platform engineers at high-traffic companies. Unlike AWS Web Application Firewall — drop malformed traffic before it hits the backend.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 49945fd6d1b9d89d

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Malformed JSON and schema violations trigger application crashes and waste compute across AWS Lambda and Kubernetes clusters.
Solution: What if structural API errors never reached your servers? Filternode drops malformed payloads at the network edge, protecting your backend compute and stability.
Customer: platform engineers at high-traffic companies
Unlike: AWS Web Application Firewall
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 14dfab50c87bd570

## Startup Token M E D D P I C C

**Pain**: Malformed JSON and schema violations trigger application crashes and waste compute across AWS Lambda and Kubernetes clusters.
**Metrics**: Target: Your backend services process only valid data, reducing compute overhead by 30% and eliminating structural crashes.
**Rendered**: Pain: Malformed JSON and schema violations trigger application crashes and waste compute across AWS Lambda and Kubernetes clusters.
Economic buyer: Platform Engineer
Metrics: Target: Your backend services process only valid data, reducing compute overhead by 30% and eliminating structural crashes.
Competition: AWS Web Application Firewall
**Mechanism**: spine-derived-v1
**Competition**: AWS Web Application Firewall
**Economic Buyer**: Platform Engineer
**Vocab Fingerprint**: f9c1225a7a35804c

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Edge API Validation Service for platform engineers at high-traffic companies

platform engineers at high-traffic companies — Malformed JSON and schema violations trigger application crashes and waste compute across AWS Lambda and Kubernetes clusters. What if structural API errors never reached your servers? Filternode drops malformed payloads at the network edge, protecting your backend compute and stability.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: f3b08aaadbea4a07

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Edge API Validation Service. What if structural API errors never reached your servers? Filternode drops malformed payloads at the network edge, protecting your backend compute and stability. Serves platform engineers at high-traffic companies.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 49d1465e0bd3af2d

## Neighborhood

### Candidate solutions

- [Procure Specialty Foam Materials](/Problems/Procure_Specialty_Foam_Materials) — candidate solution for · Problems

### What it offers

- [Edge Payload Filter](/Software/Edge_Payload_Filter) — offers · Software

### Composed of

- [Schema Inspection Agent](/Agents/Schema_Inspection_Agent) — composes · Agents
- [Rule Configuration API](/Software/Rule_Configuration_API) — composes · Software
- [Edge Deployment SDK](/Software/Edge_Deployment_SDK) — composes · Software
- [Payload Validation Service](/Services/Payload_Validation_Service) — composes · Services

### Competitors

- [Custom Backend Middleware](/Competitors/Custom_Backend_Middleware) — competes with · Competitors
- [AWS Web Application Firewall](/Competitors/AWS_Web_Application_Firewall) — competes with · Competitors
- [Cloudflare WAF](/Competitors/Cloudflare_WAF) — competes with · Competitors
- [Legacy API Gateways](/Competitors/Legacy_API_Gateways) — competes with · Competitors
- [Akamai API Security](/Competitors/Akamai_API_Security) — competes with · Competitors
- [Fastly Signal Sciences](/Competitors/Fastly_Signal_Sciences) — competes with · Competitors

### Embodies

- [Software](/Theses/Software) — embodies · Theses

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