Grepture
by Grepture · Open-source AI gateway with tracing, evals and PII redaction
BenchRank score
Screenshots of Grepture
Homepage
Overview
Grepture is an open-source AI gateway that sits on the request path between an application and LLM providers. A TypeScript SDK wraps clients such as OpenAI, Anthropic and Gemini, so calls are proxied for PII redaction, threat blocking and rule enforcement while traces, eval scores and token costs are recorded. Infrastructure runs in the EU and the gateway can be self-hosted.
- Best for
- Teams shipping LLM features who need EU-hosted tracing, evals and PII redaction on the request path
- Pricing
- Free for 1,000 requests/month, then $49/mo for 100,000 requests and $279/mo for 1,000,000 (both shown billed annually), with overage at $10 and $6 per 100K requests and a contact-sales Custom plan.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- Gateway source is on GitHub, with a self-host option
- All infrastructure and subprocessors are EU-hosted
- Free tier of 1,000 requests/month, no card required
- Priced on request volume, with no per-seat fees
Trade-offs
- Zero-data mode and prompt injection detection need the $279/mo Business plan
- Free plan is capped at 7-day retention, 1 team member and 3 rules
- Traffic above the included request volume is billed as overage
- Sits on the request path, so the proxy becomes a runtime dependency
How Grepture markets itself
A structured read of the promise, proof and page design on Grepture’s captured homepage.
Homepage capture
“Debug every AI request. Protect the ones that matter.”
- Angle: Outcome / benefit-led
- Hero: Abstract graphic
Pricing
Published plans and prices from Grepture’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
This doesn’t look right — report a problem with Grepture’s score
Where this comes from
The Grepture pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
Alternatives in AI Development Platforms
Ranked 1
85.5 — BenchRank score out of 100Mem0
Mem0 · Hosted memory layer for AI agents, with Python and Node SDKs
Best for: Developer teams adding persistent memory to AI agents through a hosted API, with a free tier
Ranked 2
83.7 — BenchRank score out of 100Nango
Nango · Code-first integration platform covering 900+ APIs
Best for: Product teams building many third-party API integrations into a SaaS product or AI agent
Ranked 3
81.4 — BenchRank score out of 100Supermemory
Supermemory · Memory and retrieval layer for AI agents
Best for: Developers giving AI agents persistent memory and retrieval through a single hosted API.
Is this your product?
Claim Grepture to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.