The Hog
One metered API that turns live web signals into structured context for AI agents.
If your agents keep acting on week-old enrichment data, The Hog attacks a problem legacy enrichment vendors largely ignore: freshness with receipts. Per-endpoint metering is cheap at the low end — $3.29 per 1k web searches, $1.31 per 1k social searches — and the spend cap removes the runaway-agent anxiety that makes finance teams nervous. The obstacles are real too: it is API-only, the beta launch is full, and you write the integration yourself. Against Exa, Parallel, Clay, or Apollo, weigh breadth-in-one-contract against the build effort. A build-now, benefit-later proposition.
Verified 1h ago · liveness 66/100 · cite: rightaichoice.com/tools/the-hog
- AI engineers building agents that need live web context returned as structured JSON or Markdown
- GTM and growth teams with engineering capacity who want funding, hiring, and sentiment in one call
- Sales engineering teams enriching leads at scale while capping spend with a hard monthly limit
- Analyst teams running multi-hop deep research on companies, markets, and competitive moves
- Non-technical users who need a no-code dashboard or click-through workflow
- Teams without engineering capacity to write and maintain API integrations
- Pipelines that need only static historical firmographics and never require freshness
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Skip The Hog if you need a no-code dashboard or cannot write and maintain an API integration — this is an endpoint for engineers, not a click-through tool, and beta access currently runs through a waitlist anyway.
LinkedIn profile and company scraping runs $16.43 per 1k calls — roughly 25x the web scrape rate — so profile-heavy workflows dominate the bill.
The pricing fits engineering teams that can model per-call cost: 500 free calls a month to prototype, then flat metered rates that drop automatically past 100k calls, with a spend cap as a ceiling. It undercuts the per-seat model of Clay or Apollo for small agent workloads, but at high LinkedIn-scrape or mobile-enrichment volume the meter can exceed a flat enrichment subscription. Enterprise committed-use terms are custom.
In short
The Hog — One metered API that turns live web signals into structured context for AI agents. Best for AI engineers building agents that need live web context returned as structured JSON or Markdown, GTM and growth teams with engineering capacity who want funding, hiring, and sentiment in one call, Sales engineering teams enriching leads at scale while capping spend with a hard monthly limit. Free to use.
What's new in The Hog
Checked todayAcross the latest 2 updates: 1 launch and 1 news mention.
Structured web context for AI agents — The Hog published a guide on turning live web signals into structured intelligence for research and GTM workflows.
A guide walking through how teams turn live web signals from The Hog's endpoints into structured intelligence for research and GTM workflows.
Introducing the The Hog API — The Hog launched an API giving AI agents fresh, structured context across people, companies, social, and the open web.
Launch announcement for the API that returns fresh, structured context across people, companies, social sources, and the open web for AI agents.
What people actually say about The Hog — is it worth it?
We scanned public community sources for The Hog on Aug 6, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is The Hog? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Company search returning firmographics, tech stack, and business signals at $5.18 per 1k calls
- People search by role, seniority, and company at $6.57 per 1k calls
- Web search with live crawling of source pages at $3.29 per 1k calls
- Social search across X, Reddit, and TikTok at $1.31 per 1k calls
- Verified email enrichment at $0.065 per match
- Verified mobile enrichment at $0.39 per match
- Web scrape for any public URL at $0.66 per 1k calls
- LinkedIn profile and company scraping at $16.43 per 1k calls
- Social scraping for Instagram and TikTok at $0.99 per 1k calls
- Image deepfake detection at $8.13 per 1k calls
- Deep research with multi-hop LLM reasoning, metered from $0.08 per call
- Monitor runs that re-check targets on a schedule at $1.31 per 1k checks
- Structured output in JSON, Markdown, CSV, and XLSX
- Source attribution and freshness timestamps on every returned value
- Confidence scoring and cross-source entity resolution
About The Hog
The Hog is a web intelligence API for AI agents that need current context rather than cached records. You send one query — a company name, a person, a domain, a keyword, or an open research task — and the API crawls live sources, resolves the entity across them, and returns a single structured object with funding, headcount, hiring, news, and sentiment. Every value comes back ranked by relevance and tagged with its source and how fresh it is, so your agent can reason over the data instead of parsing it. The pitch is consolidation: company search, people search, web search with live crawling, social search across X, Reddit, and TikTok, email and mobile enrichment, web and LinkedIn scraping, image deepfake detection, multi-hop deep research, and scheduled monitoring all sit behind one endpoint and one contract. Output arrives as JSON, Markdown, CSV, or XLSX with confidence scores, cross-source entity resolution, and freshness stamps. Billing is usage-based rather than tiered: 500 free calls every month, flat per-call rates that drop automatically past 100k calls a month, and a spend cap that halts the meter. The catch is access and effort — the beta launch is full, so joining runs through a waitlist, and because it is API-only you need engineering capacity to integrate.
Behind the Verdict
The Hog's core claim is that agent context is scattered and stale, and the product is shaped around fixing both. Instead of one search endpoint, you get a single call that resolves an entity across many live sources and returns signals — funding, headcount, hiring, news, sentiment — each with a rank, a source domain, and an age stamp (the homepage example shows "techcrunch.com, 3d" next to "linkedin.com, live"). That structure is the differentiator: your agent gets "Series B, $80M from techcrunch.com, 3 days old" rather than a blob of text it has to parse and trust blindly. Confidence scoring and cross-source entity resolution back it up, and output comes in JSON, Markdown, CSV, or XLSX. Breadth is the second argument. Company search (firmographics, tech stack, signals), people search by role and seniority, web search with live crawling, social search across X, Reddit, and TikTok, verified email at $0.065 per match, verified mobile at $0.39 per match, web scrape at $0.66 per 1k, LinkedIn profile and company scrape at $16.43 per 1k, social scraping for Instagram and TikTok, image deepfake detection at $8.13 per 1k, deep research from $0.08 per call, and monitor runs at $1.31 per 1k checks. Teams currently stitching a search API, a scraper, an enrichment vendor, and a monitoring job into one pipeline can plausibly collapse four contracts into one. Pricing is deliberately flat: no tiers, no seats, no feature gates, 500 free calls every month refreshed each cycle, and automatic volume discounts past 100k calls a month. A hard spend cap stops the meter, which is the single most reassuring line item here for anyone running autonomous agents. Where it doesn't fit: there is no dashboard, so non-technical teams are out. Every endpoint is metered, so genuinely high-volume pipelines need to model cost carefully — the expensive lines are LinkedIn scraping at $16.43 per 1k calls and verified mobile at $0.39 per match. The beta launch is full, so access runs through a waitlist. Enterprise terms (custom data sources, dedicated capacity, SSO/SAML, RBAC, DPA, SLAs, priority routing) are custom. And the beta is full, so plan for a wait rather than same-day keys.
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Real-world workflow fit
Concrete scenarios for the personas The Hog actually fits — and what changes day-one when you adopt it.
The agent receives a company name, calls the search endpoint once, and gets back one object with funding, headcount, hiring, news, and sentiment — each ranked with its source domain and age stamp.
Outcome: The agent reasons over structured fields instead of parsing scraped pages, and the spend cap prevents a runaway loop from overspending.
Send domains through company search and people search, then attach verified emails at $0.065 per match to the contacts that clear the screen.
Outcome: Leads carry live headcount, funding, and hiring signals rather than week-old firmographics, and verified email cost stays predictable per match.
Set monitor runs on target companies at $1.31 per 1k checks and pull social search across X, Reddit, and TikTok at $1.31 per 1k calls to track sentiment shifts.
Outcome: A current competitive picture arrives on schedule with source attribution and freshness stamps on every signal.
Use Cases
- Enrich CRM leads with live company headcount, funding, and hiring signals instead of cached firmographics.
- Monitor competitor news and sentiment on a schedule so market intelligence is current when your team reads it.
- Build an AI agent that researches and screens target companies for outbound sales in a single call.
- Verify email and mobile contacts programmatically before an outreach campaign goes out.
- Detect deepfake images in user-generated content or candidate profiles at $8.13 per 1k checks.
- Aggregate X, Reddit, and TikTok signals to gauge brand sentiment without running four separate scrapers.
- Run multi-hop deep research on a market or competitor and get a structured report back.
- Replace separate search, scraping, enrichment, and monitoring vendors with one metered contract.
Limitations
- The Hog is API-only: there is no dashboard or visual UI, so you need developers to integrate.
- Every endpoint is metered — 500 calls are free each month, but costs scale, and the expensive lines are LinkedIn profile and company scraping at $16.43 per 1k calls and verified mobile enrichment at $0.39 per match.
- Deep research is metered from $0.08 per call and email/mobile enrichment is pay-per-match.
- Beta access is waitlist-gated, so onboarding is not instant.
- Enterprise arrangements (custom data sources, dedicated capacity, SSO/SAML, RBAC, DPA, compliance support, uptime SLAs, priority routing, committed-use pricing) are custom terms rather than published rates.
- High-volume agents need to model per-call cost against the spend cap ceiling.
as of 2026-10-10
Verification history
We have re-verified The Hog 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published The Hog tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Engineers prototyping an agent that needs live web context before committing budget
What this tier adds
Starting tier: 500 free calls every month across all endpoints, refreshed each cycle, no credit card required
Usage-based
Per call
Ideal for
Production agents and GTM teams running metered search, enrichment, scraping, and monitoring at volume
What this tier adds
Flat per-call rates per endpoint with automatic volume discounts past 100k calls a month and a hard spend cap
Enterprise
Custom
Ideal for
Teams needing custom data sources, dedicated capacity, security review, and committed-use volume terms
What this tier adds
Adds SSO/SAML, RBAC, DPA and compliance support, uptime SLAs, priority routing, and dedicated onboarding on custom pricing
Where the pricing makes sense
The company stage and team size where The Hog's pricing actually pencils out — and where peers do it cheaper.
The pricing fits engineering teams that can model per-call cost: 500 free calls a month to prototype, then flat metered rates that drop automatically past 100k calls, with a spend cap as a ceiling. It undercuts the per-seat model of Clay or Apollo for small agent workloads, but at high LinkedIn-scrape or mobile-enrichment volume the meter can exceed a flat enrichment subscription. Enterprise committed-use terms are custom.
Setup time & first value
How long it actually takes to get something useful out of The Hog — broken out by persona, not the marketing-page minute.
Engineers with an API key in hand can hit a metered endpoint and get a structured response in minutes — the homepage shows a single curl POST to api.thehog.ai/search. The real timeline is access: the beta launch is full, so joining runs through a waitlist, and non-technical teams should budget days to weeks of integration work before first value.
Switching to or from The Hog
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Exa: map neural search calls to The Hog web search at $3.29 per 1k and pull entity signals from the same response.
- →From Parallel: consolidate parallel research calls into deep research plus search endpoints behind one API key and one spend cap.
- →From Clay: replace per-seat enrichment with metered company search at $5.18 per 1k calls and verified email at $0.065 per match.
- →From Apollo: swap static contact records for live company search and people search, then verify contacts per match before outreach.
- →From a stitched stack: fold search, scraping, enrichment, and monitoring vendors into one metered contract with a single spend cap.
- ↗To Exa: if you need only neural web search and no enrichment, monitoring, or scraping endpoints, a narrower search API may be simpler.
- ↗To Parallel: if multi-hop research is your entire workload and you do not need people, company, or social search endpoints.
- ↗To Clay: if you need a visual, no-code enrichment workspace rather than a raw API you integrate yourself.
- ↗To Apollo: if you need a ready-made contact database plus sales engagement UI rather than metered API calls.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “The Hog”, and we withheld 6: 6 could not be judged, because “The Hog” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about The Hog.
Official links
Tools that pair well with The Hog
Common stack mates teams adopt alongside The Hog, with the specific reason each pairing earns its keep.
Persana AI
Persana AI runs AI sales prospecting agents over 100+ data sources and 75+ live intent signals, with enrichment and outreach in one subscription.
Komo
Komo turns LinkedIn and web buyer signals into scored B2B pipeline instead of more cold outreach.
Xpoz MCP
Xpoz MCP is a remote social data API that lets AI agents search Twitter/X, Instagram, TikTok and Reddit without platform API keys.
Featured Head-to-Head Comparisons
The Hog vs Chili Piper
These tools serve completely different needs. The Hog is for builders who want a flexible API to pull live web data (people, companies, social) into their own workflows. Chili Piper is a high-end conversion platform for enterprise teams that need to instantly turn web visitors into booked meetings. Choose The Hog if you're an AI engineer integrating real-time intelligence; choose Chili Piper if you're a revenue ops leader at a company with high inbound traffic and a Salesforce stack.
The Hog vs Screenplayiq
If you need real-time, API-driven web intelligence for GTM or AI agent workflows, The Hog is the clear choice. For screenwriters wanting data-driven script analysis and box office predictions, ScreenplayIQ is purpose-built. These tools serve completely different markets—choose based on your domain.
The Hog vs Presto Voice
The Hog and Presto Voice serve completely different markets — web intelligence vs. drive-thru voice AI. Choose The Hog if you need real-time, structured web data for AI agents or GTM workflows; choose Presto Voice if you operate a QSR chain and want to automate drive-thru ordering with upselling capabilities. They are not direct competitors.
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Persana AI
Persana AI runs AI sales prospecting agents over 100+ data sources and 75+ live intent signals, with enrichment and outreach in one subscription.
Frequently Asked Questions
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