Real advice for every tool your agent considers.

AI agents burn tokens retrying flaky, slow, or non-compliant tools. ToolRate delivers objective reliability ratings and smart recommendations from thousands of real agent executions in production.

Know before you call.

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830

Tools Rated

94K

Data Points

<8ms

Avg Response

LLM Sources

The Problem

Agents burn cycles on failing tools

Stripe times out. LemonSqueezy rejects auth. PayPal finally works. Three attempts, wasted tokens, degraded UX — and no record of why any of it happened.

The Solution

One assessment before every call

ToolRate scores every tool in real time from the collective experience of thousands of production agents. Pick the best option first, fall back intelligently. Every decision is logged with a confidence score attached.

Global Compliance Layer

🌍

Jurisdiction, Made Visible

Exclusive to ToolRate

Every tool in ToolRate comes with clear, real-world jurisdiction data — hosting location, GDPR risk level, and confidence score. So your agents decide based on facts, not assumptions.

Reliability first — every tool is scored neutrally, with no geographic penalty.
GDPR risk made explicit — clear signals for data-residency compliance when it matters.
Region as a choice, never a default — EU, US, and global tools ranked by performance.
Your rules, your ranking — pass preferences once via the SDK and ToolRate weighs every recommendation against your policy (e.g. “prefer EU for European data” or “optimize for lowest latency worldwide”).

From San Francisco to Berlin to Singapore, every agent builder gets the same transparent view — with full control to match how you actually build.

Three lines to get started

from toolrate import ToolRate, guard

client = ToolRate("nf_live_...")

# Check reliability before calling
score = client.assess("https://api.stripe.com/v1/charges")
# => { reliability_score: 94.2, failure_risk: "low", ... }

# Or use guard() for auto-fallback
result = guard(client, "https://api.stripe.com/v1/charges",
               lambda: stripe.Charge.create(...),
               fallbacks=[
                   ("https://api.lemonsqueezy.com/v1/checkouts",
                    lambda: lemon.create_checkout(...)),
               ])
import { ToolRate } from "toolrate";

const client = new ToolRate("nf_live_...");

// Check reliability before calling
const score = await client.assess("https://api.stripe.com/v1/charges");

// Or use guard() for auto-fallback
const result = await client.guard(
  "https://api.stripe.com/v1/charges",
  () => stripe.charges.create({...}),
  { fallbacks: [
    ["https://api.lemonsqueezy.com/v1/checkouts",
     () => lemon.createCheckout({...})],
  ]}
);
# Assess a tool
curl -X POST https://api.toolrate.ai/v1/assess \
  -H "X-Api-Key: nf_live_..." \
  -H "Content-Type: application/json" \
  -d '{"tool_identifier": "https://api.stripe.com/v1/charges"}'

# Report a result
curl -X POST https://api.toolrate.ai/v1/report \
  -H "X-Api-Key: nf_live_..." \
  -H "Content-Type: application/json" \
  -d '{"tool_identifier": "https://api.stripe.com/v1/charges",
    "success": true, "latency_ms": 420}'

Built for production agents

Reliability intelligence for the developers, enterprises, and agents running production AI workloads.

Reliability Scoring

Real-world success rates, common failure modes, and recommended mitigations — so agents know exactly how much to trust the tool, and auditors know precisely how the score was calculated.

One-Line Guard

result = toolrate.guard(tool="stripe/charges", context=plan)

Zero branching logic. Zero retry boilerplate. Production-ready in one line.

Hidden Gems

The tools nobody pitches but production agents quietly rely on — surfaced from real fallback patterns across thousands of sessions and ranked by recovery rate.

Fallback Chains

When OpenAI, Stripe, or SendGrid drops, what do production agents actually switch to? Live journey data, ranked by downstream completion rate.

Reliability Webhooks

Get paged the moment a tool's reliability crosses a threshold you define. HMAC-signed, per-tool, exponential-backoff delivery — wired into PagerDuty or Slack in seconds.