{"uid":"cap_aa96EHtgcNyBg3RESyHUY","slug":"agents-predictleads-com-get-a-single-news-event-by-id-995eee64","name":"Get a single News Event by ID","description":"Returns specific News Event.","url":"https://agents.predictleads.com/api/v3/news_events/{id}?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","required":["id"],"properties":{"id":{"type":"string","format":"uuid","description":"NewsEvent's ID.\n"}}},"responseSchema":{"type":"object","title":"NewsEventsDataset","$schema":"https://json-schema.org/draft/2020-12/schema","example":{"data":[{"id":"e120b1e6-0270-4cdd-913d-d037ef9da422","type":"news_event","attributes":{"award":null,"event":null,"amount":null,"assets":null,"contact":null,"product":null,"summary":"On Oct 20th '26, Amazon.com Inc. aims to add 300000 seasonal workers to its fulfillment and transportation network across the United States during the holiday rush, up from 250,000 in each of the prior three years.","category":"increases_headcount_by","division":null,"found_at":"2026-10-20T00:00:00Z","headline":"Amazon.com Inc. aims to increase its seasonal workforce by 300000 in the United States on Oct 20th '26","location":"United States, Northern America, Americas","planning":true,"headcount":300000,"job_title":null,"confidence":1,"assets_tags":[],"recognition":null,"product_data":{"name":null,"full_text":null,"fuzzy_match":null,"release_type":null,"release_version":null},"product_tags":[],"first_seen_at":"2026-10-20T14:44:30Z","location_data":[{"city":null,"state":null,"region":"Northern America","country":"United States","zip_code":null,"continent":"Americas","fuzzy_match":false}],"vulnerability":null,"effective_date":"2026-10-20","financing_type":null,"job_title_tags":[],"article_sentence":"Amazon aims to add 300,000 seasonal workers - and expands health benefits in the new year.","amount_normalized":null,"company1_importance":"high","company2_importance":null,"financing_type_tags":[],"financing_type_normalized":null},"relationships":{"company1":{"data":{"id":"c9b92ffd-a2ed-5787-8b06-f4bf8d291e57","type":"company"}},"most_relevant_source":{"data":{"id":"d7dbb269-ada6-4300-8578-d7b23332049f","type":"news_article"}}}}],"meta":{"record_state":"active","schema_version":"3.3"},"included":[{"id":"c9b92ffd-a2ed-5787-8b06-f4bf8d291e57","type":"company","attributes":{"domain":"amazon.com","ticker":"NASDAQ:AMZN","company_name":"Amazon.com Inc."}},{"id":"d7dbb269-ada6-4300-8578-d7b23332049f","type":"news_article","attributes":{"url":"https://www.businessinsider.com/amazon-looks-to-add-300k-seasonal-workers-2026-10","body":"Amazon aims to add 300,000 seasonal workers - and expands health benefits in the new year.\n\nOct 20, 2026, 6:27 AM PT\n\nAmazon plans to boost its seasonal workforce by 20%, assembling its largest temporary workforce ever.\n\nThe e-commerce giant aims to hire 300,000 employees during the holiday rush for its fulfillment and transportation network across the US. The target is up from 250,000 for each of the prior three years. It also plans to offer healthcare coverage on day one of employment for full-time, part-time, and seasonal hourly workers with at least 30 hours a week scheduled, starting January 1.\n\nSeasonal workers who join before January 1 will begin receiving healthcare on that date, the company said. Workers who join after will have access from their first date of hire. The company hires seasonal workers year-round.\n\nAmazon health plans start at $5 a week and include $5 copays.\n\nThe company says seasonal employees can earn an average wage of more than $20 per hour, while full- and part-time regular employees see an average of nearly $24 per hour. Last month, Amazon increased its minimum pay for core operations workers to $20 an hour and gave all US workers new grocery discounts.\n\nSeasonal hiring has been somewhat of a mixed bag this year, with some traditional retailers like Walmart and Target opting to tap into their existing workforces. Others, like Spirit Halloween, Michael's, and Dick's Sporting Goods have announced plans to collectively hire approximately 73,000 people this year.\n\nA report last week from Indeed found that the seasonal hiring window is starting earlier in the year and shifting from conventional in-store retail toward more e-commerce fulfillment roles.\n\nAmazon says its seasonal roles often fill within minutes of being posted, and that some seasonal workers ultimately find a longer-term position with the company.","title":"Amazon aims to add 300,000 seasonal workers - and expands health benefits in the new year.","author":null,"image_url":"https://i.insider.com/6ad6addf2428f6b455813de5?width=1200&format=jpeg","published_at":"2026-10-20T13:27:04Z"}}]},"summary":"Structured and categorized News Events from some 20 million different blogs, PR sites and News sites.\n","required":["data","included"],"properties":{"data":{"type":"array","items":{"type":"object","title":"NewsEvent","required":["id","type","attributes","relationships"],"properties":{"id":{"type":"string","format":"uuid","description":"ID of the `NewsEvent` object."},"type":{"const":"news_event","description":"Type of the `NewsEvent` object."},"attributes":{"type":"object","required":["summary","headline","category","found_at","first_seen_at","confidence","company1_importance","company2_importance","article_sentence","planning","amount","amount_normalized","assets","assets_tags","award","contact","event","effective_date","division","financing_type","financing_type_normalized","financing_type_tags","headcount","job_title","job_title_tags","location","location_data","product","product_data","product_tags","recognition","vulnerability"],"properties":{"award":{"type":["string","null"],"example":"Pierre Potier Award","description":"Award type this `NewsEvent` is announcing."},"event":{"type":["string","null"],"example":"World Business Outlook Awards","description":"The name of the event the company attended."},"amount":{"type":["string","null"],"example":"$1.8 million","description":"This is a string of a value as extracted from text."},"assets":{"type":["string","null"],"example":"hydrogen production facility","description":"Assets found in the NewsEvent."},"contact":{"type":["string","null"],"example":"Elon Musk","description":"Person name that the `NewsEvent` mentions."},"product":{"type":["string","null"],"example":"Credit Pass","description":"Name of the product as mentioned by this NewsEvent."},"summary":{"type":"string","description":"A short, human readable excerpt of this `NewsEvent` data."},"category":{"type":"string","oneOf":[{"const":"acquires","description":"Company acquired another company.\n
**Group**: `acquisition`\n
**Optional `attributes`:** `amount`, `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"merges_with","description":"Company merges with another company.\n
**Group**: `acquisition`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"sells_assets_to","description":"Company sells assets (like properties or warehouses) to other company.\n
**Group**: `acquisition`\n
**Optional `attributes`:** `amount`, `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"loses_client","description":"Company loses a client.\n
**Group**: `contract`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"signs_new_client","description":"Company signs new client.\n
**Group**: `contract`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"declares_bankruptcy","description":"Organization declares bankruptcy.\n
**Group**: `corporate_challenges`\n
**Present `attributes`:** `bankruptcy`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"files_suit_against","description":"Company files suit against other company.\n
**Group**: `corporate_challenges`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"has_issues_with","description":"Company has vulnerability problems.\n
**Group**: `corporate_challenges`\n
**Present `attributes`:** `vulnerability`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"closes_offices_in","description":"Company closes existing offices.\n
**Group**: `cost_cutting`\n
**Present `attributes`:** `location`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"decreases_headcount_by","description":"Company lays off employees.\n
**Group**: `cost_cutting`\n
**Present `attributes`:** `headcount`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"attends_event","description":"Company attends an event.\n
**Group**: `expansion`\n
**Present `attributes`:** `event`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"expands_facilities","description":"Company opens new or expands existing facilities like warehouses, data centers, manufacturing plants etc.\n
**Group**: `expansion`\n
**Present `attributes`:** `location`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"expands_offices_in","description":"Company expands existing offices.\n
**Group**: `expansion`\n
**Present `attributes`:** `location`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"expands_offices_to","description":"Company opens new offices in another town, state, country or continent.\n
**Group**: `expansion`\n
**Present `attributes`:** `location`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"increases_headcount_by","description":"Company offers new job vacancies.\n
**Group**: `expansion`\n
**Present `attributes`:** `headcount`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"opens_new_location","description":"Company opens new service location like hotels, restaurants, bars, hospitals etc.\n
**Group**: `expansion`\n
**Present `attributes`:** `location`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"goes_public","description":"Company issues shares to the public for the first time.\n
**Group**: `investment`\n
**Present `attributes`:** `financing_type`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_earnings","description":"Earnings were reported for a company.\n
**Group**: `investment`\n
**Present `attributes`:** `amount`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_earnings_decreased_by","description":"Company earnings decreased by a reported percent.\n
**Group**: `investment`\n
**Present `attributes`:** `percent`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_earnings_increased_by","description":"Company earnings increased by a reported percent.\n
**Group**: `investment`\n
**Present `attributes`:** `percent`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_loss","description":"Loss was reported for a company.\n
**Group**: `investment`\n
**Present `attributes`:** `amount`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_revenue","description":"Revenue was reported for a company.\n
**Group**: `investment`\n
**Present `attributes`:** `amount`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_revenue_decreased_by","description":"Company revenue decreased by a reported percent.\n
**Group**: `investment`\n
**Present `attributes`:** `percent`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_revenue_increased_by","description":"Company revenue increased by a reported percent.\n
**Group**: `investment`\n
**Present `attributes`:** `percent`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_valuation","description":"Valuation was reported for a company.\n
**Group**: `investment`\n
**Present `attributes`:** `amount`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_valuation_decreased_by","description":"Company valuation decreased by a reported percent.\n
**Group**: `investment`\n
**Present `attributes`:** `percent`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"has_valuation_increased_by","description":"Company valuation increased by a reported percent.\n
**Group**: `investment`\n
**Present `attributes`:** `percent`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"invests_into","description":"Company invests into other company.\n
**Group**: `investment`\n
**Optional `attributes`:** `amount`, `financing_type`, `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"invests_into_assets","description":"Company buys assets (like properties or warehouses) from other company.\n
**Group**: `investment`\n
**Present `attributes`:** `assets`\n
**Optional `attributes`:** `amount`, `location`, `effective_date`\n
**Present `relationships`:** `company1`"},{"const":"receives_financing","description":"Company receives financing like venture funding, loan, grant etc.\n
**Group**: `investment`\n
**Present `attributes`:** `amount`\n
**Optional `attributes`:** `financing_type`, `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"hires","description":"Company hired new executive or senior personnel.\n
**Group**: `leadership`\n
**Present `attributes`:** `contact`\n
**Optional `attributes`:** `job_title`, `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"leaves","description":"Executive or senior personnel left the company.\n
**Group**: `leadership`\n
**Present `attributes`:** `contact`\n
**Optional `attributes`:** `job_title`, `effective_date`, `location`\n
**Present `relationships`:** `company2`"},{"const":"promotes","description":"Company promoted existing executive or senior personnel.\n
**Group**: `leadership`\n
**Present `attributes`:** `contact`\n
**Optional `attributes`:** `job_title`, `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"retires_from","description":"Executive or senior personnel retire from the company.\n
**Group**: `leadership`\n
**Present `attributes`:** `contact`\n
**Optional `attributes`:** `job_title`, `effective_date`, `location`\n
**Present `relationships`:** `company2`"},{"const":"adopts_technology","description":"Company adopts a technology.\n
**Group**: `new_offering`\n
**Present `attributes`:** `product`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"integrates_with","description":"Company integrates with other company.\n
**Group**: `new_offering`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"is_developing","description":"Company is developing a new offering.\n
**Group**: `new_offering`\n
**Present `attributes`:** `product`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"launches","description":"Company launches new offering.\n
**Group**: `new_offering`\n
**Present `attributes`:** `product`\n
**Optional `attributes`:** `event`, `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"licenses_technology","description":"Company licenses a technology to another company.\n
**Group**: `new_offering`\n
**Optional `attributes`:** `product`, `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"ends_partnership_with","description":"Company ends partnership with other company.\n
**Group**: `partnership`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"partners_with","description":"Company partners with another company.\n
**Group**: `partnership`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"receives_award","description":"Company or person at the company receives an award.\n
**Group**: `recognition`\n
**Present `attributes`:** `award`\n
**Optional `attributes`:** `contact`, `event`, `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"recognized_as","description":"Company or person at the company receives recognition.\n
**Group**: `recognition`\n
**Present `attributes`:** `recognition`\n
**Optional `attributes`:** `contact`, `event`, `effective_date`, `location`\n
**Present `relationships`:** `company1`"},{"const":"identified_as_competitor_of","description":"New or existing competitor was identified.\n
**Group**: `relational`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"spins_off_company","description":"Company spins off another company.\n
**Group**: `relational`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`, `company2`"},{"const":"spins_off_division","description":"Company spins off a division.\n
**Group**: `relational`\n
**Present `attributes`:** `division`\n
**Optional `attributes`:** `effective_date`, `location`\n
**Present `relationships`:** `company1`"}],"example":"invests_into","description":"Name of the category this `NewsEvent` represents."},"division":{"type":["string","null"],"description":"Whether `NewsEvent` concerns a specific division."},"found_at":{"type":"string","format":"date-time","example":"2024-09-25T16:09:53Z","description":"Date & time (ISO 8601) when the\n`NewsEvent` was first discovered.
\nAs each NewsEvent aggregate the same signal from multiple\nsources (NewsArticles), this attribute represents the most common or earliest\n`published_at` date of these NewsArticles.\n"},"headline":{"type":"string","description":"A short, human readable headline of this `NewsEvent`."},"location":{"type":["string","null"],"example":"Menlo Park, California, 94025, United States, Northern America, Americas","description":"Location of where the `NewsEvent` happened or where the organization has\nexpanded/relocated to.\n
\n**NOTE**: It is built from the `location_data` attributes if present. Otherwise, it falls back to the original unnormalized detected location string.\n"},"planning":{"type":["boolean"],"example":"The company might plan to launch a product in December.","description":"When true, the `NewsEvent` is planned to happen."},"headcount":{"type":["integer","null"],"example":213,"description":"A number of people mentioned organization is involved with."},"job_title":{"type":["string","null"],"example":"Director of Media and Analytics","description":"Job title this `NewsEvent` is mentioning."},"confidence":{"type":["number"],"maximum":1,"minimum":0,"description":"A numerical score between 0 and 1 that represents PredictLeads’ estimated reliability of a\nnews event.
This value is always 1 when the event has been manually reviewed and approved\nby a human analyst. It can also be 1 for certain automatically detected events when the system\ndetermines they meet the highest certainty threshold.
PredictLeads already balances match\nrate and accuracy by limiting NewsEvents, so we don’t recommend applying\nadditional filters based on the confidence score.\n"},"assets_tags":{"type":"array","items":{"type":"string"},"example":["production"],"description":"An array of assets tags extracted from \"assets\" property."},"recognition":{"type":["string","null"],"example":"50 Smartest Companies","description":"Name of the recognition the company received."},"product_data":{"type":"object","required":["full_text","name","release_type","release_version","fuzzy_match"],"properties":{"name":{"type":["string","null"],"example":"VideoPoet","description":"Cleaned name of the product referenced in the NewsEvent."},"full_text":{"type":["string","null"],"example":"3D printing service for spare parts","description":"Full product name as recognized by Named Entity Recognition, without further cleaning of the product name."},"fuzzy_match":{"type":["boolean","null"],"description":"When true we might not have extracted the product name cleanly. When false exact product name should be extracted well."},"release_type":{"type":["string","null"],"example":"major","description":"Product release type."},"release_version":{"type":["string","null"],"example":"v3.0","description":"Product release version."}}},"product_tags":{"type":"array","items":{"type":"string"},"example":["mobile","online_technology"],"description":"List of tags regarding the product."},"first_seen_at":{"type":"string","format":"date-time","example":"2024-09-25T16:09:53Z","description":"Date & time (ISO 8601) of when PredictLeads first\nsaw the NewsArticle.
\nUnlike `found_at`, which reflects when the article was published, this is when\nPredictLeads first saw the evidence.\n"},"location_data":{"type":"array","items":{"type":"object","title":"LocationData","example":{"city":"Menlo Park","state":"California","region":"Northern America","country":"United States","zip_code":"94025","continent":"Americas","fuzzy_match":null},"required":["city","state","zip_code","country","region","continent","fuzzy_match"],"properties":{"city":{"type":["string","null"],"example":"Menlo Park","description":"City of the location."},"state":{"type":["string","null"],"example":"California","description":"State of the location."},"region":{"type":["string","null"],"example":"Northern America","description":"Region of the location."},"country":{"type":["string","null"],"example":"United States","description":"Country of the location."},"zip_code":{"type":["string","null"],"example":"94025","description":"ZIP code of the location."},"continent":{"type":["string","null"],"example":"Americas","description":"Continent of the location."},"fuzzy_match":{"type":["boolean","null"],"example":null,"description":"`true` indicates that location data may not have been extracted accurately.\n
\n`false` indicates that location data has been extracted correctly.\n"}},"description":"The `LocationData` object.\n
\n**NOTE**: It is used to build the `location` attribute.\n"},"description":"**NOTE**: Currently contains at most one object."},"vulnerability":{"type":["string","null"],"example":"account suspension errors","description":"Company issue."},"effective_date":{"type":["string","null"],"format":"date","example":"2024-09-25","description":"Date (ISO 8601) the `NewsEvent` is mentioning."},"financing_type":{"type":["string","null"],"example":"Series B funding","description":"A financing type this `NewsEvent` is mentioning."},"job_title_tags":{"type":"array","items":{"type":"string"},"example":["marketing","directors"],"description":"An array of job title tags."},"article_sentence":{"type":["string","null"],"description":"Sentence in the article where `NewsEvent` information was found."},"amount_normalized":{"type":["integer","null"],"example":18000000,"description":"Integer value of \"amount\" property in USD."},"company1_importance":{"type":["string","null"],"oneOf":[{"type":"null"},{"const":"high"},{"const":"medium"},{"const":"low"}],"example":"medium","description":"Importance of the `NewsEvent` for the company1."},"company2_importance":{"type":["string","null"],"oneOf":[{"type":"null"},{"const":"high"},{"const":"medium"},{"const":"low"}],"example":"medium","description":"Importance of the `NewsEvent` for the company2."},"financing_type_tags":{"type":"array","items":{"type":"string"},"example":["equity"],"description":"An array of financing type categories."},"financing_type_normalized":{"enum":["pre_angel","angel_plus","angel_plus_plus","angel","angel_1","angel_2","angel_3","pre_seed","seed_plus","seed_plus_plus","seed","seed_1","seed_2","seed_3","pre_series_a","series_a_plus","series_a_plus_plus","series_a","series_a1","series_a2","series_a3","pre_series_b","series_b_plus","series_b_plus_plus","series_b","series_b1","series_b2","series_b3","pre_series_c","series_c_plus","series_c_plus_plus","series_c","series_c1","series_c2","series_c3","pre_series_d","series_d_plus","series_d_plus_plus","series_d","series_d1","series_d2","series_d3","pre_series_e","series_e_plus","series_e_plus_plus","series_e","series_e1","series_e2","series_e3","pre_series_f","series_f_plus","series_f_plus_plus","series_f","series_f1","series_f2","series_f3","pre_series_g","series_g_plus","series_g_plus_plus","series_g","series_g1","series_g2","series_g3","pre_series_h","series_h_plus","series_h_plus_plus","series_h","series_h1","series_h2","series_h3","pre_series_i","series_i_plus","series_i_plus_plus","series_i","series_i1","series_i2","series_i3","pre_series_j","series_j_plus","series_j_plus_plus","series_j","series_j1","series_j2","series_j3","pre_angel_bridge","angel_plus_bridge","angel_plus_plus_bridge","angel_bridge","angel_1_bridge","angel_2_bridge","angel_3_bridge","pre_seed_bridge","seed_plus_bridge","seed_plus_plus_bridge","seed_bridge","seed_1_bridge","seed_2_bridge","seed_3_bridge","pre_series_a_bridge","series_a_plus_bridge","series_a_plus_plus_bridge","series_a_bridge","series_a1_bridge","series_a2_bridge","series_a3_bridge","pre_series_b_bridge","series_b_plus_bridge","series_b_plus_plus_bridge","series_b_bridge","series_b1_bridge","series_b2_bridge","series_b3_bridge","pre_series_c_bridge","series_c_plus_bridge","series_c_plus_plus_bridge","series_c_bridge","series_c1_bridge","series_c2_bridge","series_c3_bridge","pre_series_d_bridge","series_d_plus_bridge","series_d_plus_plus_bridge","series_d_bridge","series_d1_bridge","series_d2_bridge","series_d3_bridge","pre_series_e_bridge","series_e_plus_bridge","series_e_plus_plus_bridge","series_e_bridge","series_e1_bridge","series_e2_bridge","series_e3_bridge",null],"example":"series_b","description":"A normalized value of `financing_type` property, where possible."}},"description":"Attributes of the `NewsEvent` object."},"relationships":{"type":"object","required":["most_relevant_source"],"properties":{"company1":{"type":"object","title":"NewsEventToCompanyLiteRelationship","required":["data"],"properties":{"data":{"type":"object","required":["id","type"],"properties":{"id":{"type":"string","format":"uuid","description":"ID of the included `CompanyLite` object."},"type":{"const":"company","description":"Type of the included `CompanyLite` object."}}}},"description":"The data contains a reference to related `CompanyLite` object listed in the `included` property."},"company2":{"type":"object","title":"NewsEventToCompanyLiteRelationship","required":["data"],"properties":{"data":{"type":"object","required":["id","type"],"properties":{"id":{"type":"string","format":"uuid","description":"ID of the included `CompanyLite` object."},"type":{"const":"company","description":"Type of the included `CompanyLite` object."}}}},"description":"The data contains a reference to related `CompanyLite` object listed in the `included` property."},"most_relevant_source":{"type":"object","title":"NewsEventToNewsArticleLiteRelationship","required":["data"],"properties":{"data":{"oneOf":[{"type":"object","required":["id","type"],"properties":{"id":{"type":"string","format":"uuid","description":"ID of the included `NewsArticleLite` object."},"type":{"const":"news_article","description":"Type of the included `NewsArticleLite` object."}}},{"type":"null"}]}},"description":"The data contains a reference to related `NewsArticleLite` object listed in the `included` property."}},"description":"The data contains references to related objects listed in the `included` property."}},"description":"The `NewsEvent` object."}},"meta":{"type":"object","required":["schema_version","record_state"],"properties":{"count":{"type":"integer","example":344,"description":"Total number of results.\n
\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n"},"record_state":{"type":"string","const":"active","title":"Meta.RecordState","description":"Represents record state of objects.\n"},"schema_version":{"type":"string","title":"Meta.SchemaVersion","description":"Represents schema version of objects.\n"}},"description":"Meta information about `NewsEventsDataset` object.\n"},"included":{"type":"array","items":{"oneOf":[{"type":"object","title":"CompanyLite","required":["id","type","attributes"],"properties":{"id":{"type":"string","format":"uuid","description":"ID of the `CompanyLite` object."},"type":{"const":"company","description":"Type of the `CompanyLite` object."},"attributes":{"type":"object","required":["domain","company_name","ticker"],"properties":{"domain":{"type":"string","description":"Company domain name."},"ticker":{"type":["string","null"],"description":"Company stock symbol (ticker) if available."},"company_name":{"type":["string","null"],"description":"Company name if available."}},"description":"Attributes of the `CompanyLite` object."}},"description":"The `CompanyLite` object."},{"type":"object","title":"NewsArticleLite","required":["id","type","attributes"],"properties":{"id":{"type":"string","format":"uuid","description":"ID of the `NewsArticleLite` object."},"type":{"const":"news_article","description":"Type of the `NewsArticleLite` object."},"attributes":{"type":"object","required":["url","title","author","image_url","published_at","body"],"properties":{"url":{"type":"string","format":"uri","description":"News Article source URL."},"body":{"type":"string","description":"News Article text (article content)."},"title":{"type":"string","description":"Prettified News Article title or heading."},"author":{"type":["string","null"],"description":"News Article author name."},"image_url":{"type":["string","null"],"description":"News Article most relevant image URL."},"published_at":{"type":"string","format":"date-time","example":"2024-09-25T16:09:53Z","description":"Date & time (ISO 8601) when NewsArticle was published."}},"description":"Attributes of the `NewsArticleLite` object."}},"description":"The `NewsArticleLite` object."}],"discriminator":{"propertyName":"type"}},"description":"Contains objects referenced in property `relationships`."}},"description":"Since 2016, PredictLeads has detected over 9 million relevant news signals, which are available for\n2.4 million companies globally.\n
\nThe News Events are sourced from some 20 million blogs, news and PR sites and distilled into relevant\ncategories by machine learning algorithms.\n
\nThe News Events dataset includes fields such as Formatted Signal, Signal Category,\nMost Relevant Source URL, Article Sentence, Article Body, Article Author, Found At, Effective Date and\nother News Event information.\n"},"example":null,"exampleRequest":null,"tags":[],"displayCostAmount":"0.04","displayCostAsset":"USD","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.04/call","primary":{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.04","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.04","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_nsgmlB_2Yqsf_9j9l_8YX","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.04","costPer":"request","priority":0,"asset":"0x20C000000000000000000000b9537d11c60E8b50","unit":"request","depositMicros":null,"planRef":null}],"brandName":"agents.predictleads.com","brandSlug":"agents-predictleads-com-x402","brandBaseUrl":"https://agents.predictleads.com","brandDocsUrl":null,"whatItDoes":"Retrieves a specific company news event record by its UUID, including category, summary, headcount, location, and related company/article data.","exampleAgentPrompt":"Pull up the PredictLeads news event with ID e120b1e6-0270-4cdd-913d-d037ef9da422 — I need the full details including the event category, summary, headcount, location, and the company it's associated with.","exampleUseCases":[{"title":"Verify hiring surge event details","prompt":"I have a news event ID 'e120b1e6-0270-4cdd-913d-d037ef9da422' from PredictLeads — can you pull the full record and tell me the headcount figure, location, and whether it's in the planning stage or already confirmed?"},{"title":"Enrich CRM with corporate milestone data","prompt":"We flagged a news event in our system with ID 'a3f9c21b-11d4-4bcd-9e7a-cde2fa930011' — fetch the full event record from PredictLeads so I can see the category, summary, and the related company domain to update our CRM."},{"title":"Cross-reference news article source","prompt":"For the PredictLeads news event 'b7e2d084-5531-4abc-8f01-3309a12cc654', can you retrieve the full record and tell me which news article was flagged as the most relevant source and what the event headline says?"}],"resultDescription":"Returns a JSON object containing a data array with one news event record, including attributes such as event category (e.g. 'increases_headcount_by'), summary, headline, headcount, location, location_data, confidence score, found_at, effective_date, planning flag, financing type, product data, and relationships to the associated company and most relevant source news article. Also includes an 'included' array with sideloaded company and article metadata, plus meta fields for record_state and schema_version.","failureModes":["Invalid or malformed UUID returns a 400 or 404 error","News event ID does not exist in the PredictLeads database returns a 404 not found","Expired or missing payment/auth credentials return a 402 or 401 error","Truncated or incomplete response if the news event record has sparse attributes","Network timeout for slow upstream PredictLeads API responses"],"whenToPreferThis":"Use this endpoint when you already have a specific PredictLeads news event UUID and need the full structured record for that event. It is ideal for resolving references from search or discovery endpoints, enriching downstream systems with event details, or verifying specific attributes like headcount, location, or confidence score. Prefer this over discovery/search endpoints when you have a direct ID reference and need low-latency point lookup rather than a list.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:06:09.745Z","isFirstParty":false,"canonicalSlug":"agents-predictleads-com-get-a-single-news-event-by-id-995eee64"}