Exende
Exende is a Jobs & Hiring Data API that normalizes public job listings from reviewed career sources and tracks hiring changes over time. Teams query the API to search current jobs, retrieve company hiring context by domain, access historical job observations, and retrieve aggregate hiring metrics. The platform uses a credit-based pricing model where each API call consumes credits based on the endpoint and data volume. Scoped API keys allow granular access control by role or application. Agent infrastructure APIs (Callback, Retry, Resolve) enable custom automation workflows for fault-tolerant job data processing.
Exende is an intent data platform, priced at 19 €/month on the Starter plan. InnovaAI scores it 4.8/10 for agency adoption, best for Data Engineer, Strategist, and Operations Manager roles handling 5+ client meetings per week.
Agency Audit
Exende is a Jobs & Hiring Data API that normalizes public job listings and tracks hiring changes over time through a canonical data layer. It is built for data product teams, market research agencies, and recruiting analytics builders who need programmatic access to structured job and company hiring data. For a digital agency, adoption makes sense only if your team builds data products, conducts market research, or develops recruiting intelligence tools internally. Most traditional service agencies will find limited direct value unless they're expanding into data-driven advisory or competitive intelligence offerings.
3recommended
36/mo
$2,678/mo
Moderate
Illustrative scenario. Not a guarantee. Net capacity is the value of reclaimed time at $75/hr, less the lowest verified paid base plan (flat plan cost is shared). Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Data Engineer handling recruiting analytics product development
- Strategist handling competitive hiring intelligence tracking
- Operations Manager handling market research data collection
- Your agency does not build data products, conduct market research, or offer recruiting analytics services; you are a traditional creative, design, or marketing services firm.
- Your team has no in-house engineering or data infrastructure; Exende requires API integration and ongoing technical maintenance.
- You need real-time job data with sub-hourly freshness; Exende's observation model is designed for historical tracking and trend analysis, not live job board feeds.
Internal Adoption Path
$21.64/mo
$21.64/mo flat plan
36 hr/mo
3 seats × 12 hr each
$2,700/mo
modeled at $75/hr labor rate
$2,678/mo
value − subscription cost
In this model, 3 seats reclaim 36 hours of team time each month. Valued at $75/hr that is $2,700/mo, and after the $21.64/mo subscription it leaves $2,678/mo of capacity for billable client work.
Illustrative scenario. Not a guarantee. Uses the lowest verified paid base plan. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of Exende
Normalized job search API
Query public job listings through a canonical data layer with consistent field structure across sources. Strategists and data teams use this to build hiring trend reports without parsing multiple career page formats.
Company hiring context lookup
Retrieve company details and current job listings by domain, plus observed hiring activity. Operations teams use this to track hiring velocity at target accounts for competitive intelligence.
Historical job observation tracking
Access timestamped records of job listing changes over time, showing when roles were posted, modified, or removed. Research teams use this to measure hiring momentum and identify growth signals.
Aggregate hiring metrics
Query documented metrics on hiring activity within reviewed coverage to understand market-wide or company-specific hiring patterns. Data product teams embed this in analytics dashboards.
Scoped API key access control
Assign granular permissions (jobs:read, companies:read, signals:read) to team members or applications. Operations teams use this to isolate access by role and prevent over-provisioning.
Public catalogue overview endpoint
Query real-time counts of active jobs, observed companies, and data freshness without authentication. Teams use this to validate coverage before committing to a paid plan.
What Makes Exende Different
Unique advantages vs similar tools in this niche
Historical observation tracking adds time context to job listings
vs Static job board APIs that only show current listingsExende records observations over time, allowing you to see when a listing was first observed, how it changed, and when it was last observed.
Transparent credit-based pricing with documented costs per operation
vs Opaque pricing models from data providersEvery successful operation has a documented credit cost, and an empty per-record search uses zero credits.
Public overview endpoint for coverage inspection without authentication
vs APIs that require a key to see basic coverage statsThe /v1/public/overview endpoint provides real counts, clear definitions, and the timestamp of the latest observation, no key required.
Value Equation
Outcome-likelihood-time-effort assessment for Exende
Limited agency channel
Exende scored below the agency-resellability threshold (agency_fit_score < 50). The Value Equation projects agency-side outcomes, which don't apply to tools without a clear resell pathway.
Contact ExendePricing
Exende platform cost to your agency
Starts at $19/mo (Starter), scales to $149/mo (Scale)
Onboarding
- 2,500 free credits
- Available for 14 days
- Scoped API keys
- Usage dashboard
Starter
- 15,000 monthly credits
- Scoped Jobs Data API keys
- Search, company data & history
- Credit usage dashboard
Pro
- 75,000 monthly credits
- Scoped Jobs Data API keys
- Search, company data & history
- Credit usage dashboard
Scale
- 300,000 monthly credits
- Scoped Jobs Data API keys
- Search, company data & history
- Credit usage dashboard
Enterprise
- Contracted capacity
- Controls and support
No verified white-label program for Exende: client-facing delivery runs under the platform's native branding.
Market Intelligence
Offer + scale economics for Exende
Limited agency channel
Exende scored below the agency-resellability threshold (agency_fit_score < 50). It's a useful tool but not designed for white-labeled or retainer-based reselling, so we don't publish productized offer economics for it.
Contact ExendeInvestment Decision Framework
Strategic vetting analysis for Exende
Situational Fit
Fit depends on your client mix
Buy If
4Your market research practice needs to quantify hiring velocity and company growth signals across a portfolio of companies, and you want to automate that data collection via API.
Your strategists or research team spend 6+ hours per week manually scraping job listings and company hiring data from career pages to build competitive intelligence reports for clients.
Your data product team is building a recruiting analytics tool or hiring intelligence feature and needs a normalized, time-series job data API to avoid building a scraper from scratch.
Your operations or business development team tracks hiring trends at target accounts and currently uses spreadsheets or fragmented tools to monitor job posting changes over time.
Skip If
4Your agency does not build data products, conduct market research, or offer recruiting analytics services; you are a traditional creative, design, or marketing services firm.
Your team has no in-house engineering or data infrastructure; Exende requires API integration and ongoing technical maintenance.
You need real-time job data with sub-hourly freshness; Exende's observation model is designed for historical tracking and trend analysis, not live job board feeds.
Your budget cannot accommodate monthly API credits (starting at 19 EUR for 15,000 monthly credits) plus potential overages for high-volume queries.
Bottom Line
Exende is a Jobs & Hiring Data API that normalizes public job listings and tracks hiring changes over time through a canonical data layer. It is built for data product teams, market research agencies, and recruiting analytics builders who need programmatic access to structured job and company hiring data. For a digital agency, adoption makes sense only if your team builds data products, conducts market research, or develops recruiting intelligence tools internally. Most traditional service agencies will find limited direct value unless they're expanding into data-driven advisory or competitive intelligence offerings.
Reality Check
Exende requires API integration and developer resources to extract value; it is not a point-and-click tool. The pricing model uses monthly credits that reset, so teams must forecast usage accurately to avoid overage costs or unused capacity. Adoption ROI depends entirely on whether your agency has a concrete use case for job market data products or hiring analytics.
Moderate effort: standard configuration with some customization needed
Academy for Exende
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Signal-to-Deal Validation RatioConcept
The Signal-to-Deal Validation Ratio framework urges agencies to weigh every intent data signal against actual deal progression before scaling spend or outreach. Intent platforms like Bombora, which tracks content consumption across 21,600 topics, or Leadfeeder, which identifies up to 45% of site visitors, generate high-volume signals that can overwhelm a sales team. The risk is acting on noise: a spike in research activity may reflect a competitor analysis or a student project, not a buying committee. Agencies should layer these signals onto their CRM and validate against historical win rates by source and topic. For example, if a client's closed-won deals show that only 12% of high-intent accounts from a specific source converted, that source deserves less weight. This ratio turns raw intent data into a prioritization filter, shortening sales cycles without inflating pipeline with false positives.
- Noise-Adjusted Priority StackConcept
Intent data platforms flood agencies with signals: community mentions, content consumption, job posts, and web visits. The Noise-Adjusted Priority Stack framework forces agencies to weight each signal by its proven correlation with closed deals, not by its volume. A Reddit post from Agenmatic's 40+ community monitoring might feel urgent, but if historical analysis shows such signals convert at 2% while Bombora's co-op consumption data converts at 8%, the stack reorders accordingly. Agencies should layer intent signals onto their CRM and score accounts by fit and engagement, as Avina does, then validate against actual deal stages. The framework prevents over-reliance on noisy, low-volume signals by demanding continuous recalibration: each quarter, compare intent-source performance against win rates and adjust weights. This turns intent data from a firehose into a prioritized list that sales actually trusts.
- Intent Signal LayeringConcept
Intent Signal Layering is a framework for combining multiple intent sources to separate genuine buying signals from noise. Agencies often rely on a single provider, but the strongest results come from layering first-party signals (website visits, content engagement) with third-party data (research spikes, community mentions). For example, an agency using Leadfeeder to identify anonymous site visitors can cross-reference that behavior with Bombora's topic surge data to confirm active research. This layering reduces false positives and improves sales prioritization. The risk is over-reliance on any one source, which can flood pipelines with low-quality leads. Validation against actual deal stages is critical, as the category description warns. By stacking signals, agencies can focus outreach on accounts showing multiple intent indicators, shortening sales cycles and improving retainer ROI.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Intent Data Rule: Validate Against Deal Stages Before Scaling SpendEvaluation Rule
Before committing budget or headcount to any intent data source, run a 30-day pilot that maps its signals to actual won and lost deals in your client's CRM.
- When Intent Signals Are Noisy, Layer First-Party Data Before Scaling OutreachEvaluation Rule
Before scaling outreach on intent signals, validate them against your own CRM and first-party engagement data to filter out noise.
- The Signal-Noise Trap: Why Intent Data Stalls in Agency PipelinesFailure Pattern
- The Vanity-Score Trap: Why Intent Data Misleads Agency PrioritizationFailure Pattern
8 modules selected for Exende
Frequently Asked Questions
Answers about pricing, setup, implementation
Exende provides a Jobs & Hiring Data API that aggregates and normalizes public job listings from reviewed career sources into a canonical data layer. Teams query current jobs, retrieve company hiring context by domain, track historical job observation changes, and access aggregate hiring metrics. The API is designed for data product teams, market research agencies, and recruiting analytics builders who need programmatic access to structured hiring data without building their own scraper infrastructure.
Exende offers monthly credit-based plans: Starter at 19 EUR per month for 15,000 credits, Pro at 59 EUR per month for 75,000 credits, and Scale at 149 EUR per month for 300,000 credits. Each API call consumes credits based on the endpoint (job search costs 1 credit per record, company details cost 2 credits, hiring metrics cost 5 credits). Agent infrastructure APIs are billed separately at 0.01 USD per callback creation, 0.02 USD per Retry job, and 0.03 USD per Resolve job. An Onboarding plan provides 2,500 free credits for 14 days to test the API. Enterprise plans with contracted capacity are available on request.
Data product teams and engineers benefit most, as they can integrate Exende into recruiting analytics tools or hiring intelligence dashboards without building a scraper. Strategists and market research leads use the API to automate competitive hiring analysis and track company growth signals. Operations and business development teams use it to monitor hiring velocity at target accounts. Account executives can reference hiring trend data to inform account strategy conversations.
For a data team building a recruiting analytics product, Exende saves 8-12 hours per week by eliminating manual job listing scraping and data normalization. For a strategist or researcher manually tracking hiring trends across 20-30 companies, Exende saves 4-6 hours per week by automating data collection and historical comparison. Savings depend on your current workflow; if you are not actively collecting job data today, Exende enables new capabilities rather than reclaiming time.
Exende is an API-first platform; integration depends on your tech stack. If your team uses Python, JavaScript, or other languages with HTTP client libraries, you can query Exende directly. If you use a data warehouse (Snowflake, BigQuery, Redshift), you can build a scheduled pipeline to pull Exende data into your warehouse. If you use a BI tool (Tableau, Looker), you can connect to your warehouse and visualize Exende data. No native integrations with CRM, project management, or marketing automation platforms are documented.
Exende is a read-only API for public job data; you do not store data on Exende's platform. If you cancel, you lose access to the API and any pipelines that depend on it will fail. Any data you have pulled into your own systems (data warehouse, spreadsheets, dashboards) remains yours. You should export or archive any historical data you want to retain before cancellation.
Exende's public overview endpoint shows the timestamp of the most recent canonical job observation. As of the latest available data, the catalogue contained 10,939 active jobs across 374 observed companies from 374 reviewed sources, with freshness updated at 14 Sept 2026 00:15 UTC. The observation window is continuous; Exende records timestamped changes over time rather than providing real-time feeds. Freshness depends on how frequently reviewed sources publish updates.
If you have an in-house engineer, API integration typically takes 2-4 weeks depending on your data pipeline complexity. The Onboarding plan (2,500 free credits for 14 days) lets you test the API and validate your use case before committing to a paid plan. If you do not have engineering resources, you will need to hire or contract a developer to build the integration, which extends the timeline to 4-8 weeks.