Predictleads review and the Yalc Framework
The signal data layer for Yalc. Best when intent (jobs, news, financing, technographics) drives outbound timing rather than static firmographics.
Predictleads, plainly
Predictleads provides structured signal data on 100 million plus companies: news events across 29 categories, job openings, technographics (1.2 billion technology detections all time), key customers / supply chain relationships, financing rounds, and similar company lookups. The pitch is "intelligence for AI agents," and the access layer reflects that: REST API, native MCP server, webhooks for real time signals, plus flat file delivery for batch users.
For Yalc workflows, Predictleads is the canonical signal source. Where Crustdata gives you the database (who exists, where), Predictleads gives you the trigger (what's happening, when). When a Yalc agent says "alert me when ICP accounts post a hiring signal" or "trigger outbound when a target company raises Series B," Predictleads is the layer that supplies the event.
Position in the GTM operating system
Predictleads sits at the **listen** node in Yalc's GTM topology. It's where event driven outbound starts. Most static prospecting (firmographics, ICP filtering) happens upstream in Crustdata. Predictleads kicks in when the question shifts from "who matches" to "who just changed."
Deploying Predictleads inside a Yalc workflow
Workflow position
The signal listener. Yalc subscribes to Predictleads webhooks on target accounts, classifies the event via Claude, decides whether to trigger an outbound action (sequence, alert, CRM update). The downstream is the standard send pipeline.
Prompt patterns
Copy paste prompts for Claude Code that invoke Predictleads.
Chaining recommendations
Anti patterns to avoid
Yalc skill availability
Predictleads ships a native MCP server, which means Claude Code can query it directly during a Yalc session. No first party Yalc skill exists yet, but the MCP integration covers most use cases without one. A future Yalc skill would consolidate webhook setup and signal scoring into a single verb.
→ Request a Yalc skill for this toolPros, cons, who it's for
Pros
- 100 API requests per month free. Easy to start.
- Native MCP support. Claude calls Predictleads directly.
- Real time webhooks for signal events. No polling.
- 29 event categories cover most B2B trigger patterns (hiring, funding, tech adoption, news).
- 100M plus company coverage at the firmographic layer plus a signal layer most enterprise databases don't ship.
Cons
- Pricing above the free tier is custom. Procurement friction.
- Signal noise without filtering. Most events aren't outreach worthy.
- Some event categories (press releases) are higher volume / lower signal than others (financing).
- Less people level data than Crustdata. Predictleads is company centric.
Who it's for
- GTM teams running event triggered outbound (signal based prospecting)
- Sales engineers who want intent data without enterprise sales suite pricing
- Data teams building internal company intelligence pipelines
What you'll really spend
Predictleads runs a free tier with 100 API requests per month. Above that, pricing scales with request volume and is custom. The free tier is generous enough to build a real Yalc workflow that triggers on signal events without paying anything for low frequency use cases.
The structure of the API (REST plus MCP plus webhooks plus flat files) supports both interactive Yalc usage (Claude calls Predictleads on demand) and batch usage (download flat files into your own warehouse). Pick the pattern that fits your workflow.
Free
100 API requests per month. Right for piloting and low frequency signal monitoring.
Subscription
Volume based. Talk to sales for current rates.
Enterprise
Flat file delivery, dedicated infra, SLA. For data teams running batch.
Where Predictleads appears in Yalc stacks
Frequently asked
How does Predictleads compare to Crustdata?
They compose rather than compete. Crustdata is a database (who exists, where, what they do). Predictleads is a signal layer (what just changed). Most Yalc workflows use both, Crustdata to filter ICP, Predictleads to trigger on events.
What kinds of signals does Predictleads detect?
29 event categories. The high signal ones include financing rounds, executive hires, expansion moves, technology adoption, hiring patterns, layoff news, and product launches. Lower signal events include routine press releases and conference participation.
Can I use Predictleads via webhooks?
Yes. Webhooks are first class. You subscribe to event types and target accounts, Predictleads POSTs to your endpoint when it detects matching events. Yalc workflows route the POST through Claude for classification before any action.
Does Predictleads have a free tier?
Yes. 100 API requests per month. Enough to pilot and to run low frequency monitoring on a small target list.
How current are the signals?
Most events surface within hours of detection. Some (job openings, news) are near real time. Some (financing rounds) lag because the underlying source (regulatory filings, press) lags.
Does Predictleads have person level data?
It's company centric. For person level, pair with Crustdata. The strength is company events and technographics.
No first party Yalc skill yet. Open an issue and we'll prioritize.
Or fork the repo and contribute one.