For teams running AI ad agents

Your agent writes 100 ads an hour. This one says which 3 to run.

A deterministic run / fix_first / kill verdict for every ad — before you spend on it, not after.

MCP + REST · 100 free verdicts · about a penny a call after

Cut your ad-spend leak in 30 days.

score 78/100RUN

Unlock the AI advantage today ✨

score 31/100KILL

Founders: your CAC is lying to you.

score 71/100RUN

The #1 secret marketers don't want you to know

score 22/100KILL

We saved a DTC brand $42k in Q3.

score 63/100FIX

Meta CPMs up 34%. Here's what still works.

score 74/100RUN

Try our platform. It's really good.

score 18/100KILL

Your PMax is fighting your Search. Fix it.

score 58/100FIX

Stop A/B testing headlines. Start testing offers.

score 55/100FIX

Scale to $1M/mo with one weird trick

score 14/100KILL

the whole batch, no cherry-picking — 3 run · 3 fix_first · 4 killed before a cent of spend

Why Spendict?

Kill a bad ad for a penny, not a “test budget.”

Four tools, one deterministic verdict each. The budget only moves on ads that earned it.

Explore pricing →
assess_ad_creative

Gate the creative

Scores hook, angle, clarity, audience fit, platform fit, CTA, and compliance — and names the single predicted failure mode before a cent is committed.

runfix_firstkill
audit_campaign_structure

Audit the build

Budget allocation, audience setup, bid strategy, measurement — checked against each platform's actual rulebook, before the structure fragments your spend.

soundfix_firstrestructure
analyze_campaign_performance

Diagnose live campaigns

Feed it live metrics and it separates creative fatigue from structural problems — instead of guessing which lever to pull.

healthyfix_firstkill_or_rebuild
strategize_targeting

Design the targeting

Give it the product and the goal; it returns a structure-validated targeting strategy your agent can build from directly.

validated strategy

The judgment inside comes from performance marketers with 10+ years in paid social — they directed the model's development and calibrated every verdict against real ads.

Proof, not opinions

We show the grading, not just the grade

Six AI-generated ad hooks, scored by the same engine that grades yours — each with the predicted failure mode attached, not just a number.

Try it on your own ad →

Unlock the AI advantage today ✨

score 31/100KILL

Zero specificity, generic AI puffery

I switched from boosting posts to this and finally stopped guessing.

score 81/100RUN

Named pain plus concrete outcome

Stop guessing. Start scaling your ad spend with confidence.

score 58/100FIX

Vague CTA, no proof point

The future of marketing is here.

score 22/100KILL

No product, no audience, no hook

3 signs your Meta campaign is bleeding budget (and how to fix #2 today)

score 76/100RUN

Specific plus curiosity plus a real fix

Transform your business with our revolutionary platform.

score 19/100KILL

Buzzword salad, zero mechanism

Features

Built so a confident model can't talk its way past a bad ad.

Four guardrails baked into every call — not settings you have to remember to turn on.

MCP native

Streamable HTTP — works in Claude, Cursor, Windsurf, n8n out of the box.

REST mirror

Same verdicts, same key — one-for-one REST endpoints for any other stack.

Keys never stored in plaintext

Every key is hashed server-side; bearer-token auth on every call.

Quota before inference

A maxed-out key never triggers a model call — and failed calls are refunded.

Accountability loop

Real performance reconciles against the tool's own earlier pre-flight call.

Calibrated by hand

Marketers with 10+ years in paid social directed the model's development — real ads, not scraped trend data.