How to Automate Supply Chain Risk Reports: A Guide for Developers
Do you use Python? If so, this guide will help you automate supply chain risk reports using AI Chat GPT and our News API.
NewsCatcher is a capable enterprise News API with strong clustering, translation, entity search, and large result pages. Webz.io is the better fit when a product needs fast responses, article-length text, cleaner result sets, deep monitoring controls, broad multilingual retrieval, and historical data reaching back to 2008.
We tested both APIs through 177 live requests over the same 48-hour publication window. The clearest differences were not in whether the APIs could run a Boolean query. Both could. The differences appeared in what came back and how quickly it arrived.
In the live test, Webz.io was 2.79 times faster at the median, returned 12.3 times more article text at the median, and produced a near-title duplicate rate that was 48% lower. Across the 33 coverage queries that were not capped by NewsCatcher’s 10,000-result ceiling, Webz.io returned 17.8% more reported matches in aggregate.
| Metric | Webz.io | NewsCatcher | Result |
| Reported matches across 33 uncapped coverage queries | 105,137 | 89,260 | Webz.io 17.8% higher |
| Reported matches across 13 uncapped topic queries | 35,287 | 27,030 | Webz.io 30.5% higher |
| Reported matches across 9 uncapped language queries | 43,526 | 32,962 | Webz.io 32.0% higher |
| Median API latency | 234 ms | 652 ms | Webz.io 2.79x faster |
| Paired latency wins | 11 of 15 | 4 of 15 | Webz.io won 73% of calls |
| Median returned article text | 3,734 characters | 303 characters | Webz.io 12.3x longer |
| Mean near-title duplicate rate | 10.0% | 19.3% | Webz.io 48% lower |
| Mean unique domains per 25-result sample | 18.1 | 17.0 | Webz.io 6.4% higher |
| Author-field completeness | 86.7% | 64.7% | Webz.io 22 percentage points higher |
The result-count figures are totals reported by the APIs, not audited counts of unique articles. Eleven of NewsCatcher’s 44 coverage responses stopped at exactly 10,000 results. Those rows were excluded from count ratios and aggregate totals because NewsCatcher documents 10,000 as the standard per-query retrieval ceiling.
The test ran on September 4, 2026 and used a fixed publication window from September 2 at 03:59:50 UTC through September 4 at 03:59:50 UTC.
The run included:
Both providers received equivalent phrases, language restrictions, country restrictions, and publication dates where the APIs supported direct equivalents. Equal page sizes were used for sample-quality comparisons. Provider order was alternated to reduce timing bias.
This benchmark measures retrieval breadth, returned content, source diversity, duplicate levels, feature acceptance, and request latency. It does not grade the relevance of every result. The two APIs also returned very different result sets: mean exact-URL overlap was only 1.5%, and near-title overlap averaged 2.7% of the smaller sample. That low overlap is another reason to test the publishers and markets that matter to your product rather than rely on a single corpus-size claim.
Across 15 successful requests per provider, Webz.io’s median response time was 234 milliseconds. NewsCatcher’s was 652 milliseconds.
That makes Webz.io 2.79 times faster at the median. It was faster in 11 of the 15 directly paired calls, including all three Bitcoin requests, all three cybersecurity requests, all three OpenAI requests, and two of the three climate-change requests.
The average also favored Webz.io: 426 milliseconds versus 635 milliseconds for NewsCatcher.
The tail result was closer. One Webz.io climate-change request took 1.97 seconds, which pushed its p95 to 1.14 seconds, compared with 1.06 seconds for NewsCatcher. This was a small point-in-time test, not an uptime or SLA study. The defensible conclusion is that Webz.io was substantially faster on the median request and won most paired calls, not that every Webz.io call will always be faster.
For an application that runs one search, a few hundred milliseconds may not matter. For monitoring systems, data pipelines, and AI agents that make many sequential calls, the difference compounds.
Both APIs populated a content field in all 300 sampled records. The amount of content was very different.
Webz.io returned a median of 3,734 characters of article text. NewsCatcher returned a median of 303 characters. Webz.io therefore supplied 12.3 times more text at the median.
The NewsCatcher responses were especially consistent: all 300 sampled records contained is_content_truncated=true, and 249 of the 300 content fields were exactly 303 characters long. The supplied NewsCatcher account was effectively returning a short preview even when the source article was much longer.
That distinction matters in real products. A headline and 300-character preview may be enough to populate a basic feed. It is usually not enough for adverse-media classification, entity attribution, event extraction, summarization, RAG, or a human analyst trying to understand what actually happened.
This result describes the supplied account and the records returned during this run. It is not a claim that NewsCatcher can never provide full text. NewsCatcher markets full article text and documents a filter for publicly available full content. The live benchmark still shows what a developer received with the tested credential: truncated text on every sampled record. Webz.io returned substantially longer content and did not mark the sampled records as truncated.
Coverage is not only the total number above the results. The first page also needs enough source variety to be useful.
Across 12 equal 25-result samples, Webz.io averaged 18.1 unique domains per query. NewsCatcher averaged 17.0. Across all 300 sampled records, Webz.io returned articles from 184 distinct domains and NewsCatcher from 182.
The larger difference was duplication. Webz.io’s mean near-title duplicate rate was 10.0%, compared with 19.3% for NewsCatcher. Under the benchmark’s fuzzy-title rule, Webz.io returned 48% fewer near-duplicate headlines.
This is useful in media monitoring and intelligence workflows. Repeated versions of the same story consume review time, storage, embedding capacity, and model tokens. A broader source mix with fewer repeated headlines gives the application more independent reporting in the same result budget.
The pagination check pointed in the same direction, although it was only one test. Webz.io returned 20 different URLs across two pages. NewsCatcher repeated one URL from page one on page two.
NewsCatcher has a stronger dedicated clustering feature, and the clustering test was accepted successfully. The benchmark result is narrower: in ordinary, unclustered equal-size result samples, Webz.io returned fewer near-title duplicates.
Coverage varied by query. NewsCatcher won more of the individual uncapped query pairs overall: 19 versus 14 for Webz.io. Webz.io’s winning gaps were larger, however, so its aggregate count across those 33 pairs was 105,137 results versus 89,260 for NewsCatcher, a 17.8% advantage.
The Webz.io advantage was clearest in the topic and language groups.
Across 13 uncapped topic queries, Webz.io returned 35,287 reported matches, compared with 27,030 for NewsCatcher. That is 30.5% more in aggregate, with Webz.io winning seven topics and NewsCatcher six.
Across nine uncapped language queries, Webz.io returned 43,526 matches, compared with 32,962. That is a 32.0% aggregate advantage, with Webz.io winning five languages and NewsCatcher four.
| Query | Webz.io | NewsCatcher | Webz.io advantage |
| Supply chain disruption | 863 | 105 | 8.22x |
| Artificial intelligence in Russian | 9,308 | 2,607 | 3.57x |
| Artificial intelligence in Turkish | 12,205 | 4,967 | 2.46x |
| Ukraine war | 4,227 | 1,880 | 2.25x |
| Artificial intelligence in Hindi | 504 | 265 | 1.90x |
| Bitcoin | 15,812 | 8,715 | 1.81x |
| Artificial intelligence in Arabic | 11,223 | 6,388 | 1.76x |
| Central bank digital currency | 112 | 64 | 1.75x |
| Data breach | 1,970 | 1,458 | 1.35x |
The supply-chain result is the sharpest example. For the same exact phrase, language, and 48-hour window, Webz.io reported more than eight times as many matches. Webz.io also led on specialist cybersecurity searches such as data breach and infostealer, as well as financial and geopolitical terms.
NewsCatcher performed better on several other searches, including rare earth minerals, ransomware, aviation safety, and French- and Japanese-language artificial-intelligence queries. It also led nine of the 11 uncapped publisher-country tests. In that country group, NewsCatcher returned 11.2% more matches in aggregate.
The conclusion is not that one index wins every market. It is that Webz.io produced more total retrieval breadth in the uncapped test set, especially across topics and languages, while NewsCatcher was stronger on many country-filtered AI searches. A buyer should rerun the benchmark with its own entities, local publishers, and target markets.
Both APIs accepted exact phrases, Boolean OR and NOT, title-only search, body-only search, source inclusion, source exclusion, source-rank filters, organization filters, sentiment filters, category filters, duplicate controls, and trailing wildcards.
Webz.io also passed three provider-specific tests for capabilities that do not have a direct NewsCatcher parameter equivalent in the reviewed API reference:
NewsCatcher can filter by extracted organization and by overall title or article sentiment. Webz.io can filter on the sentiment attached to the specific entity.
For example:
organization.negative:”Nvidia”
This is more precise than asking for every negative article that mentions Nvidia. The article may be negative about a competitor, an industry, or a government policy while describing Nvidia positively. Entity-level sentiment keeps the monitored subject and the sentiment target connected.
Webz.io can search for organizations through ticker and exchange fields:
ticker:NVDA exchange:NASDAQ
That is useful for financial monitoring because company names can be ambiguous, translated, abbreviated, or shared with products and people. The live ticker test was accepted and returned 1,731 results in the 48-hour window.
Webz.io can filter sources by trusted-news classification, fake-news classification, satire, political bias, domain rank, and source type. Source types include local news, government news, and corporate newsrooms.
A monitoring query can combine these controls directly:
organization.negative:”Acme Corp”
(“regulatory investigation” OR lawsuit OR sanctions OR breach)
language:english
trust.category:trusted_news
NOT trust.category:satirical_news
syndication.syndicated:false
The API does not merely return matching articles. It lets the developer define which sources count, which copies to remove, which entity carries the negative sentiment, and which geographic or topical fields matter.
NewsCatcher has useful source metadata of its own, including rank, source types, top-source lists, original-content and republisher classifications, and robots.txt compliance. Its distinctive strength is query-time clustering. Webz.io’s advantage is the depth of source-trust and entity-specific monitoring logic available inside the query itself.
The live benchmark should carry more weight than marketing totals, but the published platform figures also favor Webz.io on overall scale.
Webz.io states that its News API processes more than 3.5 million articles a day from 300,000+ news sites across 170+ languages and 200+ countries. NewsCatcher states more than 1.5 million daily articles from 140,000+ sources across 50+ languages and 200+ countries.
Source counts are not standardized. One provider may count a domain, subdomain, section, or feed differently from another. The language and daily-volume differences are still relevant for teams that monitor markets outside the largest English-language publishers.
The historical gap is clearer. Webz.io offers data going back to 2008. NewsCatcher’s standard archive starts in January 2019. That gives Webz.io an additional 11 years for long-term event research, model training, backtesting, litigation research, reputation analysis, and market studies.
Webz.io also provides a self-service Request Sources API. A customer can submit up to 100 domains, subdomains, or site sections, track processing, and receive a structured status report. That makes missing-source management part of the application’s workflow rather than a separate email exchange.
Webz.io gives each account $5 in free API credit every month, with no credit card required. Developers can then use published pay-as-you-go rates without a minimum commitment.
NewsCatcher offers a trial, but its News API uses custom enterprise pricing. Its public pricing page lists the News API’s capabilities and directs buyers to contact sales.
For a large enterprise procurement, custom pricing may be normal. For a developer who wants to test real coverage, inspect response fields, ship a prototype, and scale usage gradually, Webz.io has the simpler starting point.
| Feature | Webz.io News API | NewsCatcher News API |
| Published news sources | 300K+ news sites | 140K+ sources |
| Published daily volume | 3.5M+ articles | 1.5M+ articles |
| Published language coverage | 170+ languages | 50+ languages |
| Published country coverage | 200+ countries | 200+ countries |
| Historical archive | Since 2008 | Since January 2019 |
| Live benchmark median latency | 234 ms | 652 ms |
| Live benchmark median content length | 3,734 characters | 303 characters on tested account |
| Full-text status in live sample | Content populated in all 300; 3,734-character median | All 300 records flagged as truncated |
| Exact phrase and Boolean search | Yes | Yes |
| Title and body field search | Yes | Yes |
| Source include and exclude | Yes | Yes |
| Person, organization, and location filters | Yes | Yes |
| Article-level sentiment | Yes | Yes |
| Entity-level sentiment | Yes | No direct equivalent documented |
| Ticker and exchange filters | Yes | No dedicated equivalent documented |
| Trusted, fake, satire, and political-bias filters | Yes | No direct equivalent documented |
| Local, government, and newsroom source controls | Yes | Yes, through source metadata and a separate Local News API |
| Duplicate handling | Syndication metadata and filters | Deduplication and query-time clustering |
| Maximum results per response | 100 | 1,000 |
| NLP summaries and taxonomy | Included where available | Available through NLP plans and include_nlp_data=true |
| English translation of non-English articles | Not the core News API model | Yes on NLP plans |
| Embeddings | Separate semantic News Search API | Available on embeddings plan |
| Natural-language news retrieval | Separate News Search API and MCP server | CatchAll and NewsMCP products |
| Source additions | Self-service UI and Request Sources API | Custom sources on request |
| Self-service entry | $5 free monthly credit, then pay as you go | Trial followed by custom News API pricing |
Webz.io’s lower duplicate rate, broader source mix, Boolean query model, source-trust filters, sentiment, entities, and syndication controls are a strong match for alerting and monitoring products.
Article-length text gives a classifier or analyst enough context to distinguish a real risk event from a passing mention. Entity-level sentiment, trusted-source controls, government and newsroom filters, categories, topics, and a long archive support triage and investigation.
Ticker, exchange, organization, sentiment, source rank, publication time, and historical data can be combined in one feed. The benchmark also found stronger Webz.io coverage for Bitcoin, central bank digital currency, supply-chain disruption, and data breach.
Webz.io led the uncapped language-query aggregate by 32% and states support for more than 170 languages. Its archive extends back to 2008, compared with 2019 for NewsCatcher.
In this benchmark, Webz.io returned 12.3 times more content at the median. That means less secondary crawling before chunking, embedding, summarizing, or grounding an answer. Developers can also use Webz.io’s separate News Search API when they want natural-language retrieval and focused content chunks instead of deterministic Boolean feeds.
NewsCatcher’s clustering, English translations, embeddings, Local News API, 1,000-result pages, and enterprise delivery options are meaningful strengths. Teams built around event objects rather than raw article feeds should test it closely.
NewsCatcher is a serious News API, not a lightweight headlines service. It has strong clustering, local-news, translation, taxonomy, and enterprise-delivery features.
Webz.io produced the stronger result for the core requirements of many monitoring and intelligence products.
In the live benchmark, Webz.io:
NewsCatcher did better on many country-filtered AI searches, returned fresher default first pages, and offers stronger built-in clustering. Those are valid reasons to choose it.
For developers building media monitoring, adverse-media screening, financial intelligence, multilingual research, or RAG products that need usable source text, Webz.io is the stronger overall choice.
Across the 33 query pairs where NewsCatcher did not hit its 10,000-result cap, Webz.io returned 105,137 reported matches and NewsCatcher returned 89,260. Webz.io’s aggregate was 17.8% higher. NewsCatcher won more individual rows, 19 to 14, while Webz.io had larger advantages on several topic and language queries.
Webz.io was faster at the median: 234 milliseconds compared with 652 milliseconds for NewsCatcher. It won 11 of the 15 paired calls. NewsCatcher had a slightly better p95 because one Webz.io request took 1.97 seconds.
Both populated a content field in the 300-record samples. Webz.io returned a median of 3,734 characters. NewsCatcher returned a median of 303 characters, and every sampled NewsCatcher record was flagged as truncated. NewsCatcher may provide fuller content under other account terms or when filtering for publicly available full text; this benchmark reports what the supplied credential returned.
Webz.io. Its mean near-title duplicate rate was 10.0%, compared with 19.3% for NewsCatcher across 12 equal 25-result samples. NewsCatcher also offers a separate clustering mode that can group similar articles when enabled.
Webz.io has the stronger fit when the workflow needs article-length text, entity-level sentiment, source trust, fake and satire labels, political-bias metadata, source rank, categories, topics, and historical research.
Webz.io supports organization, ticker, exchange, entity-sentiment, source, country, language, and date filters in the same query. NewsCatcher supports organization entities and article-level sentiment but does not document dedicated ticker, exchange, or entity-specific sentiment parameters in the reviewed News API reference.
NewsCatcher has the stronger built-in clustering product. It can group semantically similar articles into event clusters at query time and lets developers tune the similarity threshold. Webz.io exposes syndication metadata and filters for first and syndicated copies but does not present the same query-time clustering interface.
Webz.io. Its historical data reaches back to 2008. NewsCatcher’s standard archive begins in January 2019.
Webz.io. Every account receives $5 in free API credit each month, with no credit card required, followed by published pay-as-you-go pricing. NewsCatcher offers a trial, but its News API uses custom pricing.
Start with $5 in free Webz.io API credit every month. No credit card required.
Do you use Python? If so, this guide will help you automate supply chain risk reports using AI Chat GPT and our News API.
Use this guide to learn how to easily automate supply chain risk reports with Chat GPT and news data.
A quick guide for developers to automate mergers and acquisitions reports with Python and AI. Learn to fetch data, analyze content, and generate reports automatically.